LAMPIRAN KODE PROGRAM
1.
PROGRAM MODUL UTAMA
'--- ' Program : Modul Utama
' Diprogram : Hendrik Siagian
'--- Public Const eps = 2.2204E-16
Public Const pi = 22 / 7 Public Const deg = pi / 180 Public Const binH = 18 Public Const binS = 3 Public Const binI = 3
Public Const nbinColor = binH * binS * binI Public Const nbinTheta = 72
Public Const Threshold = 255 Public Const NumLevel = 16
Public Type TipeBMP BMPType As String * 2 BMPSize As Long xHotSpot As Integer yHotSpot As Integer OffBites As Long HdrSize As Long Width As Long Height As Long End Type
Public Type TImageRGB Width As Integer Height As Integer Red() As Integer Green() As Integer Blue() As Integer End Type
Public Type TImageHSI Width As Integer Height As Integer H() As Single S() As Single I() As Single End Type
Public Type TImageGray Width As Integer Height As Integer Gray() As Integer End Type
Public Type TImageEdge Width As Integer Height As Integer Edge() As Integer Theta() As Single Bin() As Integer End Type
Public Type TColorHSI H As Single
Public Type TMatrix Row As Integer Col As Integer Value() As Single End Type
Public Type TRect x1 As Integer y1 As Integer x2 As Integer y2 As Integer End Type
Public Type TipeColor Red As Integer Green As Integer Blue As Integer End Type
Public Type TSimilarity Id As String * 8 Sim As Single End Type
Public Type TGraycoprops Energy As Single Entropy As Single Contrast As Single Correlation As Single Homogenity As Single InvMoment As Single MaxProbability As Single End Type
Public Declare Function GetPixel Lib "gdi32" (ByVal hdc As Long, _ ByVal x As Long, ByVal y As Long) As Long
Public Declare Function SetPixel Lib "gdi32" (ByVal hdc As Long, _ ByVal x As Long, ByVal y As Long, ByVal crColor As Long) As Long
Public bmpX As Integer '-- Dimensi Citra Public bmpY As Integer
Public ImgFileName As String
Public IROption As Integer '-- Opsi Image Retrieval Public AdaCapture As Boolean
Public NFileQuery As String Public NIDFace As Integer
Public NFImgSource As String '-- Nama File Sumber Citra Wajah
'--- ' IMGREAD :Fungsi untuk membaca data warna citra dari kontrol Picture ' dan menyimpannya ke dalam variabel bertipe struktur array RGB ' hdc : kontrol Picture; x = picture width; y = picture height
'--- Public Function ImgRead(ByVal hdc As Long, ByVal x As Integer, _ ByVal y As Integer) As TImageRGB
Dim r As Integer Dim c As Integer Dim nColor As Long
ReDim ImgRead.Blue(x, y) For c = 0 To x - 1 For r = 0 To y - 1
nColor = GetPixel(hdc, c, r)
ImgRead.Red(c, r) = nColor And RGB(255, 0, 0)
ImgRead.Green(c, r) = (nColor And RGB(0, 255, 0)) / 256 ImgRead.Blue(c, r) = (nColor And RGB(0, 0, 255)) / 256 / 256 Next r
Next c End Function
'--- ' IMGCROP :Fungsi untuk membaca sebagiandata warna citra dari ' kontrol Picture dan menyimpannya ke dalam variabel bertipe ' struktur array RGB hdc : kontrol Picture;
' x1 = kolom pojok kiri atas; y1 = baris pojok kiri atas ' x2 = kolom pojok kanan bawah; y1 = baris pojok kanan bawah '--- Public Function ImgCrop(ByVal hdc As Long, ByVal x1 As Integer, _ ByVal y1 As Integer, ByVal x2 As Integer, _ ByVal y2 As Integer) As TImageRGB
Dim r As Integer Dim c As Integer Dim nColor As Long
Dim nW As Integer '-- lebar kolom cropping Dim nH As Integer '-- tinggi baris cropping
nW = Abs(x2 - x1) nH = Abs(y2 - y1)
ImgCrop.Width = nW ImgCrop.Height = nH
ReDim ImgCrop.Red(nW, nH) ReDim ImgCrop.Green(nW, nH) ReDim ImgCrop.Blue(nW, nH) For c = 0 To nW - 1
For r = 0 To nH - 1
nColor = GetPixel(hdc, x1 + c, y1 + r)
ImgCrop.Red(c, r) = nColor And RGB(255, 0, 0)
ImgCrop.Green(c, r) = (nColor And RGB(0, 255, 0)) / 256 ImgCrop.Blue(c, r) = (nColor And RGB(0, 0, 255)) / 256 / 256 Next r
Next c End Function
'--- ' IMGSHOW : Subprogram untuk menampilkan citra ke kontrol Picture ' berdasarkan data warna citra dari variabel bertipe struktur array RGB ' hdc : kontrol Picture; w = picture width; h = picture height
'--- Public Sub ImgShow(ByVal hdc As Long, ByRef Img As TImageRGB)
Dim W As Integer Dim H As Integer Dim nColor As Long
Dim c As Integer '-- pencacah kolom Dim r As Integer '-- pencacah tinggi Dim p As Long
W = Img.Width H = Img.Height For c = 0 To W - 1 For r = 0 To H - 1
Next r Next c End Sub
'--- ' Program Konversi Desimal ke Heksadesimal ' dengan lebar format tampilan w karakter '---
Public Function DeciToHex(Desi As Integer, W As Byte) As String Dim BKar As Integer
Dim nResult As String nResult = Hex(Desi) BKar = Len(nResult) If W > BKar Then
nResult = String(W - BKar, "0") & nResult End If
DeciToHex = nResult End Function
'--- 'BMPRead : Membaca data RGB dari suatu file Bitmap (*.BMP) ' secara langsung
'--- Public Function BMPRead(FileName As String) As TImageRGB Dim RekBMP As TipeBMP
Dim vFile As Integer Dim nData As Long Dim bmpX As Integer Dim bmpY As Integer Dim nPixel As Long Dim n As Long Dim p As Long Dim c As Integer Dim r As Integer Dim DataBMP() As Byte
'---Membaca header file bmp vFile = FreeFile
Open FileName For Random As #vFile Get #vFile, , RekBMP
Close #vFile
'---Membaca Data BMP nData = FileLen(FileName) ReDim DataBMP(nData)
Open FileName For Binary As #vFile Get #vFile, , DataBMP
Close #vFile
'---Menyusun Data BMP ke Matrik RGB bmpX = RekBMP.Width
bmpY = RekBMP.Height BMPRead.Width = bmpX BMPRead.Height = bmpY
ReDim BMPRead.Red(bmpX, bmpY) ReDim BMPRead.Green(bmpX, bmpY) ReDim BMPRead.Blue(bmpX, bmpY) nPixel = bmpX * bmpY
c = 0 r = 0
p = RekBMP.OffBites For n = 1 To nPixel c = c + 1
If c = bmpX Then c = 0
r = r + 1 End If p = p + 3 Next n p = 0
Erase DataBMP End Function
'--- ' ArcCos : Fungsi untuk menentukan nilai Invers Cosinus '--- Public Function ArcCos(x As Single) As Single
ArcCos = (Atn(-x / (Sqr(1 - x ^ 2) + eps)) + 2 * Atn(1)) / (2 * pi) End Function
'--- ' MIN : Fungsi untuk menentukan bilangan terkecil dari dua ' bilangan X dan Y
'--- Public Function Min(x As Integer, y As Integer) As Integer If x < y Then
Min = x Else Min = y End If End Function
'--- 'RGBtoHSI : Fungsi mengkonversi Warna RGB ke ruang ' warna HSI
'--- Public Function RGBtoHSI(cRGB As Long) As TColorHSI Dim r As Integer
Dim G As Integer Dim B As Integer Dim num As Single Dim den As Single Dim Theta As Single Dim H As Single Dim S As Single Dim I As Single
r = CInt(cRGB And RGB(255, 0, 0))
G = CInt((cRGB And RGB(0, 255, 0)) / 256) B = CInt((cRGB And RGB(0, 0, 255)) / 256 / 256)
num = 0.5 * ((r - G) + (r - B))
den = Sqr((r - G) ^ 2 + CSng((r - B)) * CSng((G - B))) Theta = ArcCos(num / (den + eps))
H = Theta If B > G Then
H = 2 * pi - Theta End If
H = H / (2 * pi)
num = Min(Min(r, G), B) den = r + G + B
S = 1 - 3 * num / den I = ((r + G + B) / 3) / 255 RGBtoHSI.H = H
RGBtoHSI.S = S RGBtoHSI.I = I End Function
'--- 'ImageRGBToHSI : Konversi Citra RGB ke Citra HSI
'--- Public Function ImageRGBToHSI(imgRGB As TImageRGB) As TImageHSI Dim c As Integer
Dim r As Integer Dim cRGB As Long Dim cHSI As TColorHSI
ImageRGBToHSI.Width = imgRGB.Width ImageRGBToHSI.Height = imgRGB.Height
ReDim ImageRGBToHSI.H(imgRGB.Width, imgRGB.Height) ReDim ImageRGBToHSI.S(imgRGB.Width, imgRGB.Height) ReDim ImageRGBToHSI.I(imgRGB.Width, imgRGB.Height)
For c = 1 To imgRGB.Width For r = 1 To imgRGB.Height
cRGB = RGB(imgRGB.Red(c, r), _ imgRGB.Green(c, r), _ imgRGB.Blue(c, r)) cHSI = RGBtoHSI(cRGB)
ImageRGBToHSI.H(c, r) = cHSI.H ImageRGBToHSI.S(c, r) = cHSI.S ImageRGBToHSI.I(c, r) = cHSI.I Next r
Next c End Function
'--- 'binHistoHSI : Menentukan posisi bin pada Histogram HSI ' sesuai dengan banyak bin H, S dan I '---
Public Function binHistoHSI(cHSI As TColorHSI, nbinH As Integer, _ nbinS As Integer, nbinI As Integer) As Integer Dim rH As Single '--range bin
Dim rS As Single Dim rI As Single Dim nbH As Integer Dim nbS As Integer Dim nbI As Integer Dim nbin As Integer
rH = 1 / (nbinH - 1) rS = 1 / (nbinS - 1) rI = 1 / (nbinI - 1)
nbH = CInt(cHSI.H / rH) nbS = Int(cHSI.S / rS) nbI = Int(cHSI.I / rI)
nbin = (nbH * nbinS * nbinI) + (nbS * nbinI) + nbI + 1 binHistoHSI = nbin
End Function
'--- ' HistogramHSI : Membangun histogram HSI dari suatu citra HSI ' sesuai dengan banyak bin H, S dan I
Public Function HistogramHSI(imgHSI As TImageHSI, nbinH As Integer, _ nbinS As Integer, nbinI As Integer) As TMatrix Dim nbin As Integer
Dim n As Integer Dim c As Integer Dim r As Integer Dim p As Single Dim cHSI As TColorHSI
nbin = nbinH * nbinS * nbinI HistogramHSI.Col = 2
HistogramHSI.Row = nbin
ReDim HistogramHSI.Value(2, nbin) For n = 1 To nbin
HistogramHSI.Value(1, n) = n HistogramHSI.Value(2, n) = 0 Next n
For c = 1 To imgHSI.Width For r = 1 To imgHSI.Height cHSI.H = imgHSI.H(c, r) cHSI.S = imgHSI.S(c, r) cHSI.I = imgHSI.I(c, r)
n = binHistoHSI(cHSI, 18, 3, 3) p = HistogramHSI.Value(2, n) p = p + 1
HistogramHSI.Value(2, n) = p Next r
Next c
'--- Normalisasi p = 0
For n = 1 To nbin
p = p + HistogramHSI.Value(2, n) Next n
For n = 1 To nbin
HistogramHSI.Value(2, n) = HistogramHSI.Value(2, n) / p Next n
End Function
'--- ' GetColorFeature : Fungsi untuk memperoleh fitur warna ' dari sebuah file citra bitmap (*.BMP) '--- Public Function GetColorFeature(NFile As String, _
nbinH As Integer, nbinS As Integer, nbinI As Integer) _ As TMatrix
Dim imgFace As TImageRGB Dim imgFaceHSI As TImageHSI
imgFace = BMPRead(NFile)
imgFaceHSI = ImageRGBToHSI(imgFace)
GetColorFeature = HistogramHSI(imgFaceHSI, nbinH, nbinS, nbinI) End Function
'--- 'CosineSim : Mengukur jarak dua vektor dengan menggunakan ' Cosine similarity
'---
Public Function CosineSim(A As TMatrix, B As TMatrix, nCol As Integer) As Single
SigmaA = 0 SigmaB = 0 SigmaAB = 0
For r = 1 To a.Row
SigmaA = SigmaA + (A.Value(nCol, r)) ^ 2 SigmaB = SigmaB + (B.Value(nCol, r)) ^ 2
SigmaAB = SigmaAB + A.Value(nCol, r) * B.Value(nCol, r) Next r
temp = Sqr(SigmaA) * Sqr(SigmaB) If temp = 0 Then
CosineSim = 0 Else
CosineSim = SigmaAB / temp End If
End Function
'--- 'RGBtoGray : Fungsi mengkonversi Warna RGB ke Warna ' Grayscale
'--- Public Function RGBtoGray(cRGB As Long) As Integer Dim r As Integer
Dim G As Integer Dim B As Integer
r = cRGB And RGB(255, 0, 0)
G = (cRGB And RGB(0, 255, 0)) / 256 B = (cRGB And RGB(0, 0, 255)) / 256 / 256
RGBtoGray = CInt(0.299 * r + 0.587 * G + 0.114 * B) End Function
'--- 'ImageRGBToGray : Konversi citra RGB ke citra Gray '---
Public Function ImageRGBToGray(imgRGB As TImageRGB) As TImageGray Dim c As Integer
Dim r As Integer Dim cRGB As Long Dim cGray As Integer
ImageRGBToGray.Width = imgRGB.Width ImageRGBToGray.Height = imgRGB.Height
ReDim ImageRGBToGray.Gray(imgRGB.Width, imgRGB.Height)
For c = 1 To imgRGB.Width For r = 1 To imgRGB.Height
cRGB = RGB(imgRGB.Red(c, r), _ imgRGB.Green(c, r), _ imgRGB.Blue(c, r)) cGray = RGBtoGray(cRGB)
ImageRGBToGray.Gray(c, r) = cGray Next r
Next c End Function
'--- 'BinTheta : Menentukan posisi bin berdasarkan sudut Theta ' dan banyak bin sudut
'---
Public Function binTheta(Theta As Single, nbinTheta As Integer) As Integer Dim stepDeg As Single
stepDeg = 360 / nbinTheta
'--- 'EdgeSobel : Fungsi mendeteksi tepi dengan metode Sobel '---
Public Function EdgeDetectSobel(Img As TImageGray, Threshold As Integer) As TImageEdge
Dim r As Integer Dim c As Integer Dim Gx As Integer Dim Gy As Integer Dim G As Integer Dim Theta As Single
EdgeDetectSobel.Width = Img.Width EdgeDetectSobel.Height = Img.Height
ReDim EdgeDetectSobel.Edge(Img.Width, Img.Height) ReDim EdgeDetectSobel.Theta(Img.Width, Img.Height) ReDim EdgeDetectSobel.Bin(Img.Width, Img.Height)
For c = 1 To Img.Width For r = 1 To Img.Height
EdgeDetectSobel.Edge(c, r) = 0 Next r
Next c
For c = 2 To Img.Width - 1 For r = 2 To Img.Height - 1
Gx = (Img.Gray(c - 1, r + 1) + _ 2 * Img.Gray(c, r + 1) + _ Img.Gray(c + 1, r + 1)) - _ (Img.Gray(c - 1, r - 1) + _ 2 * Img.Gray(c, r - 1) + _ Img.Gray(c + 1, r - 1))
Gy = (Img.Gray(c + 1, r - 1) + _ 2 * Img.Gray(c + 1, r) + _ Img.Gray(c + 1, r + 1)) - _ (Img.Gray(c - 1, r - 1) + _ 2 * Img.Gray(c - 1, r) + _ Img.Gray(c - 1, r + 1)) G = Abs(Gx) + Abs(Gy)
If G > Threshold Then
EdgeDetectSobel.Edge(c, r) = 1 End If
Theta = Atn(Gy / (Gx + eps)) / deg
EdgeDetectSobel.Theta(c, r) = CInt(Theta)
EdgeDetectSobel.Bin(c, r) = binTheta(Theta, nbinTheta) Next r
Next c End Function
'--- 'CreateShapeVector : Membangun Vektor Shape / Fitur Shape '---
Public Function CreateShapeVector(Img As TImageEdge, nbinTheta As Integer) As TMatrix
Dim c As Integer Dim r As Integer Dim p As Integer Dim np As Single Dim stepDeg As Single
CreateShapeVector.Col = 3
ReDim CreateShapeVector.Value(3, nbinTheta) stepDeg = 360 / nbinTheta
For r = 1 To nbinTheta
CreateShapeVector.Value(1, r) = r
CreateShapeVector.Value(2, r) = (-180 + r * stepDeg) CreateShapeVector.Value(3, r) = 0
Next r
For c = 1 To Img.Width For r = 1 To Img.Height
p = binTheta(Img.Theta(c, r), nbinTheta) np = CreateShapeVector.Value(3, p) np = np + 1
CreateShapeVector.Value(3, p) = np Next r
Next c
'--- Normalisasi np = 0
For r = 1 To nbinTheta
np = np + CreateShapeVector.Value(3, r) Next r
For r = 1 To nbinTheta
CreateShapeVector.Value(3, r) = CreateShapeVector.Value(3, r) / np Next r
End Function
'--- 'GetShapeFeature : Memperoleh fitur bentuk (shape) ' dari citra bitmap (BMP)
'--- Public Function GetShapeFeature(NFile As String, _
nbinTheta As Integer, Threshold As Integer) As TMatrix Dim imgFace As TImageRGB
Dim imgGray As TImageGray Dim imgEdge As TImageEdge
imgFace = BMPRead(NFile)
imgGray = ImageRGBToGray(imgFace)
imgEdge = EdgeDetectSobel(imgGray, Threshold)
GetShapeFeature = CreateShapeVector(imgEdge, nbinTheta) End Function
'--- ' GrayScaleMatrix : Fungsi mengubah citra Gray
' ke dalam beberapa tingkat keabuan ' (citra GrayScale)
'--- Public Function GrayScaleMatrix(imgGray As TImageGray, _ Level As Integer) As TImageGray
Dim rangeLevel As Integer Dim binGray As TImageGray Dim c As Integer
Dim r As Integer
rangeLevel = 256 \ Level binGray.Width = imgGray.Width binGray.Height = imgGray.Height
ReDim binGray.Gray(binGray.Width, binGray.Height)
For c = 1 To binGray.Width For r = 1 To binGray.Height
Next c
GrayScaleMatrix = binGray End Function
'--- ' GrayCoMatrix : Fungsi membentuk Cooccurence Matrix '--- Public Function GrayCoMatrix(imgGray As TImageGray, _
Level As Integer, dy As Integer, dx As Integer) As TImageGray Dim r As Integer
Dim c As Integer Dim startR As Integer Dim startC As Integer Dim endR As Integer Dim endC As Integer Dim q1 As Integer Dim q2 As Integer Dim M As Integer Dim n As Integer
M = imgGray.Height n = imgGray.Width
GrayCoMatrix.Width = Level GrayCoMatrix.Height = Level
ReDim GrayCoMatrix.Gray(Level, Level)
startR = 1 startC = 1
If Sgn(dy) = -1 Then startR = Abs(dy - 1) If Sgn(dy) = -1 Then startC = Abs(dx - 1)
endR = M endC = n
If Sgn(dx) = 1 Then endC = n - dx If Sgn(dy) = 1 Then endC = M - dy
'--- Cooccurence Matrix
For r = 1 To GrayCoMatrix.Height For c = 1 To GrayCoMatrix.Width GrayCoMatrix.Gray(c, r) = 0 Next c
Next r
For r = startR To endR For c = startC To endC q1 = imgGray.Gray(c, r)
q2 = imgGray.Gray(c + dx, r + dy)
GrayCoMatrix.Gray(q1, q2) = GrayCoMatrix.Gray(q1, q2) + 1 Next c
Next r End Function
'--- ' GrayCoMatrixNormal : Fungsi membentuk normalisasi ' Cooccurence Matrix
'---
Public Function GrayCoMatrixNormal(gcom As TImageGray) As TMatrix Dim nlevel As Integer
Dim gcomNormal As TImageGray Dim r As Integer
Dim c As Integer Dim rP As Single
GrayCoMatrixNormal.Row = nlevel GrayCoMatrixNormal.Col = nlevel
ReDim GrayCoMatrixNormal.Value(nlevel, nlevel)
rP = 0
For r = 1 To nlevel For c = 1 To nlevel
rP = rP + gcom.Gray(c, r) Next c
Next r
If rP = 0 Then rP = rP + eps
'--- Normalisasi matriks cooccurence For r = 1 To nlevel
For c = 1 To nlevel
GrayCoMatrixNormal.Value(c, r) = gcom.Gray(c, r) / rP Next c
Next r End Function
'--- 'Graycoprops : Fungsi menentuk properti berdasarkan ' Cooccurence Matrix Normalisasi
'---
Public Function Graycoprops(gcom As TMatrix) As TGraycoprops Dim nlevel As Integer
Dim rEntropy As Single Dim rEnergy As Single Dim rContrast As Single Dim rHomogenity As Single Dim rInvMoment As Single Dim rMaxProbability As Single Dim rCorrelation As Single Dim r As Integer
Dim c As Integer Dim p As Single Dim PMax As Single
rEntropy = 0 rEnergy = 0 rContrast = 0 rHomogenity = 0 rInvMoment = 0 rMaxProbability = 0 rCorrelation = 0
nlevel = gcom.Row
'--- Menghitung Properti PMax = 0
For r = 1 To nlevel For c = 1 To nlevel p = gcom.Value(c, r)
rEntropy = rEntropy + p * (Log(p + eps)) / Log(10) rEnergy = rEnergy + p ^ 2
rContrast = rContrast + (r - c) ^ 2 * p
rHomogenity = rHomogenity + p / (1 + Abs(r - c)) If Not (r = c) Then
rInvMoment = rInvMoment + p ^ 2 / Abs(r - c) End If
PMax = Max(PMax, p) Next c
Next r
rMaxProbability = PMax
rCorrelation = Correlation(gcom)
Graycoprops.Energy = rEnergy Graycoprops.Contrast = rContrast Graycoprops.Homogenity = rHomogenity Graycoprops.InvMoment = rInvMoment
Graycoprops.MaxProbability = rMaxProbability Graycoprops.Correlation = rCorrelation End Function
'--- ' Correlation : Menghitung nilai korelasi dari suatu ' gray coocurence matrix
'--- Public Function Correlation(gco As TMatrix) As Single Dim nlevel As Integer
Dim c As Integer Dim r As Integer Dim gcor As TMatrix Dim f As Single Dim uvf As Single Dim n As Single Dim svf As Single Dim sv2f As Single Dim suvf As Single Dim suf As Single Dim su2f As Single
nlevel = gco.Col gcor.Col = nlevel + 5 gcor.Row = nlevel + 5
ReDim gcor.Value(gcor.Col, gcor.Row) For c = 1 To nlevel + 5
For r = 1 To nlevel + 5 gcor.Value(c, r) = 0 Next r
Next c
For r = 1 To nlevel For c = 1 To nlevel
gcor.Value(c, r) = gco.Value(c, nlevel - r + 1) 'gcor.Value(c, r) = gco.Value(c, r)
Next c Next r
For r = 1 To nlevel
gcor.Value(nlevel + 1, r) = nlevel \ 2 - r gcor.Value(r, nlevel + 1) = (-nlevel \ 2) + r Next r
For r = 1 To nlevel f = 0
For c = 1 To nlevel
f = f + gcor.Value(c, r) Next c
gcor.Value(nlevel + 2, r) = f Next r
For c = 1 To nlevel f = 0
For r = 1 To nlevel
f = f + gcor.Value(c, r) Next r
gcor.Value(c, nlevel + 2) = f Next c
For r = 1 To nlevel
gcor.Value(nlevel + 2, r)
gcor.Value(nlevel + 4, r) = gcor.Value(nlevel + 1, r) ^ 2 * _ gcor.Value(nlevel + 2, r)
uvf = 0
For c = 1 To nlevel
uvf = uvf + gcor.Value(c, nlevel + 1) * gcor.Value(nlevel + 1, r) * _
gcor.Value(c, r) Next c
gcor.Value(nlevel + 5, r) = uvf Next r
For c = 1 To nlevel
gcor.Value(c, nlevel + 3) = gcor.Value(c, nlevel + 1) * _ gcor.Value(c, nlevel + 2)
gcor.Value(c, nlevel + 4) = gcor.Value(c, nlevel + 1) ^ 2 * _ gcor.Value(c, nlevel + 2)
uvf = 0
For r = 1 To nlevel
uvf = uvf + gcor.Value(c, nlevel + 1) * gcor.Value(nlevel + 1, r) * _
gcor.Value(c, r) Next r
gcor.Value(c, nlevel + 5) = uvf Next c
n = 0: svf = 0: sv2f = 0: suvf = 0 For r = 1 To nlevel
n = n + gcor.Value(nlevel + 2, r) svf = svf + gcor.Value(nlevel + 3, r) sv2f = sv2f + gcor.Value(nlevel + 4, r) suvf = suvf + gcor.Value(nlevel + 5, r) Next r
gcor.Value(nlevel + 2, nlevel + 1) = n gcor.Value(nlevel + 3, nlevel + 1) = svf gcor.Value(nlevel + 4, nlevel + 1) = sv2f gcor.Value(nlevel + 5, nlevel + 1) = suvf
n = 0: suf = 0: su2f = 0: suvf = 0
For c = 1 To nlevel
n = n + gcor.Value(c, nlevel + 2) suf = suf + gcor.Value(c, nlevel + 3) su2f = su2f + gcor.Value(c, nlevel + 4) suvf = suvf + gcor.Value(c, nlevel + 5) Next c
gcor.Value(nlevel + 1, nlevel + 2) = n gcor.Value(nlevel + 1, nlevel + 3) = suf gcor.Value(nlevel + 1, nlevel + 4) = su2f gcor.Value(nlevel + 1, nlevel + 5) = suvf
Correlation = (n * suvf - suf * svf) / (Sqr(n * su2f - suf ^ 2) _ * Sqr(n * sv2f - svf ^ 2))
End Function
'--- 'GetTextureFeature : Memperoleh fitur Textur dari ' citra bitmap (*.BMP)
'--- Public Function GetTextureFeature(NFile As String, _ NumLevel As Integer) As TGraycoprops
Dim Igco0 As TImageGray Dim Igco45 As TImageGray Dim Igco90 As TImageGray Dim Igco135 As TImageGray Dim Ngco0 As TMatrix Dim Ngco45 As TMatrix Dim Ngco90 As TMatrix Dim Ngco135 As TMatrix Dim gcoP0 As TGraycoprops Dim gcoP45 As TGraycoprops Dim gcoP90 As TGraycoprops Dim gcoP135 As TGraycoprops Dim AgcoP As TGraycoprops
imgFace = BMPRead(NFile)
imgGray = ImageRGBToGray(imgFace)
imgGraySc = GrayScaleMatrix(imgGray, NumLevel)
Igco0 = GrayCoMatrix(imgGraySc, NumLevel, 0, 1) Igco45 = GrayCoMatrix(imgGraySc, NumLevel, -1, 1) Igco90 = GrayCoMatrix(imgGraySc, NumLevel, -1, 0) Igco135 = GrayCoMatrix(imgGraySc, NumLevel, -1, -1)
Ngco0 = GrayCoMatrixNormal(Igco0) Ngco45 = GrayCoMatrixNormal(Igco45) Ngco90 = GrayCoMatrixNormal(Igco90) Ngco135 = GrayCoMatrixNormal(Igco135)
gcoP0 = Graycoprops(Ngco0) gcoP45 = Graycoprops(Ngco45) gcoP90 = Graycoprops(Ngco90) gcoP135 = Graycoprops(Ngco135)
AgcoP.Contrast = (gcoP0.Contrast + gcoP45.Contrast + _ gcoP90.Contrast + gcoP135.Contrast) / 4 AgcoP.Correlation = (gcoP0.Correlation + gcoP45.Correlation + _ gcoP90.Correlation + gcoP135.Correlation) / 4 AgcoP.Energy = (gcoP0.Energy + gcoP45.Energy + _
gcoP90.Energy + gcoP135.Energy) / 4 AgcoP.Entropy = (gcoP0.Entropy + gcoP45.Entropy + _ gcoP90.Entropy + gcoP135.Entropy) / 4 AgcoP.Homogenity = (gcoP0.Homogenity + gcoP45.Homogenity + _ gcoP90.Homogenity + gcoP135.Homogenity) / 4 AgcoP.InvMoment = (gcoP0.InvMoment + gcoP45.InvMoment + _ gcoP90.InvMoment + gcoP135.InvMoment) / 4
AgcoP.MaxProbability = (gcoP0.MaxProbability + gcoP45.MaxProbability + _ gcoP90.MaxProbability + gcoP135.MaxProbability) / 4 GetTextureFeature = AgcoP
End Function
'--- ' Max : Fungsi untuk menentukan nilai terbesar dari dua ' buah bilangan
'--- Public Function Max(Bil1 As Single, Bil2 As Single) As Single Max = Bil1
If Bil2 > Bil1 Then Max = Bil2 End Function
'--- ' FeatureVector : Konversi Properti Tekstur ke vektor
' Tekstur
TextureVector.Row = 7
ReDim TextureVector.Value(TextureVector.Col, TextureVector.Row) TextureVector.Value(1, 1) = gtf.Contrast
TextureVector.Value(1, 2) = gtf.Correlation TextureVector.Value(1, 3) = gtf.Energy TextureVector.Value(1, 4) = gtf.Entropy TextureVector.Value(1, 5) = gtf.Homogenity TextureVector.Value(1, 6) = gtf.InvMoment TextureVector.Value(1, 7) = gtf.MaxProbability End Function
Sub Main() NIDFace = 100 IROption = 4 AdaCapture = False frmMain.Show End Sub
2.
PROGRAM FORM UTAMA
'--- ' Program : Form Main
' Jendela Utama Aplikasi FIR ' Diprogram : Hendrik Siagian
'---
Dim NFCapture As String
Private Sub MDIForm_Load() mnuBayesian.Checked = True mnuSave.Enabled = False mnuRetrieval.Enabled = False mnuViewOut.Enabled = False End Sub
Private Sub mnuAbout_Click() frmAbout.Show
End Sub
Private Sub mnuNew_Click() frmKanvas.ResetKanvas mnuOpen.Enabled = True mnuViewOut.Enabled = False mnuRetrieval.Enabled = False End Sub
Private Sub mnuOpen_Click() cdlFile.ShowOpen
ImgFileName = cdlFile.FileName With frmKanvas
.Caption = ImgFileName
.txtFileName.Text = ImgFileName
.picImage.Picture = LoadPicture(ImgFileName) .picImage.AutoSize = True
mnuRetrieval.Enabled = True End Sub
Private Sub mnuOption_Click() ChangeFileLink
End Sub
Private Sub mnuSave_Click()
Dim nfFace As String '-- nama file citra wajah key Dim nfKoneksi As String '-- nama file koneksi
Dim vfKoneksi As Integer '-- variabel file koneksi Dim nfSource As String '-- nama file citra sumber Dim stIdFace As String
Dim stPosisi As String
'-- Menyimpan file citra wajah
stIdFace = Trim(frmKanvas.txtIdFace.Text) stPosisi = Trim(frmKanvas.txtPosition) stPosisi = Replace(stPosisi, "-", ", ")
nfSource = Trim(frmKanvas.txtFileName.Text)
nfFace = App.Path & "\FaceBMP\" & Trim(frmKanvas.txtIdFace.Text) & ".bmp" SavePicture frmKanvas.picFace.Image, nfFace
'-- Mengupdate file koneksi vfKoneksi = FreeFile
nfKoneksi = App.Path & "\ConnectDB.dat" Open nfKoneksi For Append As vfKoneksi
Print #vfKoneksi, stIdFace; ", "; nfSource; ", "; stPosisi
Close #vfKoneksi
'-- Tambahkan informasi bahwa penyimpanan sukses
mnuSave.Enabled = False End Sub
Private Sub mnuExit_Click() End
End Sub
Private Sub mnuFaceCapture_Click() frmKanvas.shpCapture.Visible = True End Sub
Private Sub mnuIndexing_Click() 'mnuOpen.Enabled = True frmIndexing.Show
End Sub
'Private Sub mnuRetrieval_Click() ' mnuImgRetrieval.Enabled = True ' frmImageRet.Show
'End Sub
mnuViewOut.Enabled = True IROption = 1
frmImageRet.Show frmViewOut.Show Unload frmImageRet End Sub
Private Sub mnuShape_Click() mnuColor.Checked = False mnuShape.Checked = True mnuTexture.Checked = False mnuBayesian.Checked = False mnuViewOut.Enabled = True IROption = 2
frmImageRet.Show frmViewOut.Show Unload frmImageRet End Sub
Private Sub mnuTexture_Click() mnuColor.Checked = False mnuShape.Checked = False mnuTexture.Checked = True mnuBayesian.Checked = False mnuViewOut.Enabled = True IROption = 3
frmImageRet.Show frmViewOut.Show Unload frmImageRet End Sub
Private Sub mnuBayesian_Click() mnuColor.Checked = False mnuShape.Checked = False mnuTexture.Checked = False mnuBayesian.Checked = True mnuViewOut.Enabled = True IROption = 4
frmImageRet.Show frmViewOut.Show Unload frmImageRet End Sub
Private Sub mnuViewOut_Click() frmViewOut.Show
End Sub
'--- ' Konversi file link
Private Sub ChangeFileLink() Dim nfSource As String Dim vfSource As Integer Dim nfDest As String Dim vfDest As String Dim IdFace As Integer Dim IdSource As Integer Dim idfaceD As String * 8 Dim idSourceD As String * 8
Open nfSource For Input As #vfSource
nfDest = App.Path & "\filelinkX.txt" vfDest = FreeFile
Open nfDest For Output As #vfDest
Do While Not EOF(vfSource)
Input #vfSource, IdFace, IdSource idfaceD = "face" & DeciToHex(IdFace, 4) idSourceD = "DSC-" & DeciToHex(IdSource, 4) Print #vfDest, idfaceD; ", "; idSourceD Loop
Close #vfSource Close #vfDest End Sub
3.
PROGRAM FORM KANVAS
'--- ' Program : Form Kanvas
' Kanvas untuk menampilkan citra wajah query ' Diprogram : Hendrik Siagian
'---
Dim CaptureStatus As Integer Dim HScreen As Integer Dim WScreen As Integer Dim stCoord As String Dim FaceImage As TImageRGB Dim FaceBox As TRect
Private Sub Form_Resize() WScreen = Me.ScaleWidth HScreen = Me.ScaleHeight If WScreen < 350 Then Exit Sub If HScreen < 100 Then Exit Sub
picKanvas.Width = WScreen - fraFace.Width - vsbKanvas.Width - 2 picKanvas.Height = HScreen - hsbKanvas.Height - 2
vsbKanvas.Left = picKanvas.Width vsbKanvas.Height = picKanvas.Height hsbKanvas.Width = picKanvas.Width hsbKanvas.Top = picKanvas.Height + 1
fraFace.Left = picKanvas.Width + vsbKanvas.Width + 2 picFace.Left = fraFace.Left
If picImage.Width < picKanvas.Width Then hsbKanvas.Enabled = False
hsbKanvas.Value = 0 Else
hsbKanvas.Enabled = True End If
If picImage.Height < picKanvas.Height Then vsbKanvas.Enabled = False
vsbKanvas.Value = 0 Else
vsbKanvas.Enabled = True End If
CaptureStatus = 0 End Sub
picFace.Picture = Nothing txtFileName.Text = "" txtIdFace.Text = "" txtPosition.Text = "" CaptureStatus = 0
shpCapture.Visible = False End Sub
Private Sub picImage_KeyUp(KeyCode As Integer, Shift As Integer) Me.Caption = KeyCode
Select Case KeyCode
Case 67: Me.Caption = "Capture ... sukses" txtPosition.Text = stCoord
CaptureStatus = 3
FaceImage = ImgCrop(picImage.hdc, FaceBox.x1 + 1, _
FaceBox.y1 + 1, FaceBox.x2 - 1, FaceBox.y2 - 1) ImageShow FaceImage
frmMain.mnuSave.Enabled = True
Case 27: Me.Caption = "Capture ... abort" CaptureStatus = 0
picFace.Picture = Nothing End Select
End Sub
Private Sub ImageShow(Img As TImageRGB) Dim W As Integer
Dim H As Integer Dim nColor As Long
Dim c As Integer '-- pencacah kolom Dim r As Integer '-- pencacah tinggi Dim p As Long
W = Img.Width H = Img.Height
picFace.BorderStyle = 0 picFace.Width = W picFace.Height = H For c = 0 To W - 1 For r = 0 To H - 1
nColor = RGB(Img.Red(c, r), Img.Green(c, r), Img.Blue(c, r)) picFace.PSet (c, r), nColor
Next r Next c End Sub
Private Sub picImage_MouseUp(Button As Integer, Shift As Integer, x As Single, y As Single)
If CaptureStatus = 1 Then CaptureStatus = 2 End If
End Sub
Private Sub picImage_MouseMove(Button As Integer, Shift As Integer, x As Single, y As Single)
If CaptureStatus = 0 Then shpCapture.Left = x shpCapture.Top = y End If
If Button = 1 Then
If CaptureStatus = 0 Then CaptureStatus = 1 End If
If CaptureStatus = 1 Then
shpCapture.Width = Abs(x - shpCapture.Left) shpCapture.Height = Abs(y - shpCapture.Top) FaceBox.x1 = shpCapture.Left
FaceBox.y1 = shpCapture.Top
FaceBox.x2 = FaceBox.x1 + shpCapture.Width FaceBox.y2 = FaceBox.y1 + shpCapture.Height
stCoord = FaceBox.x1 & ", " & FaceBox.y1 & "-" & _ FaceBox.x2 & ", " & FaceBox.y2
End If End Sub
Private Sub txtIdFace_KeyUp(KeyCode As Integer, Shift As Integer) If KeyCode = 13 Then
picImage.SetFocus End If
End Sub
Private Sub vsbKanvas_Change() picImage.Top = -vsbKanvas.Value End Sub
Private Sub hsbKanvas_Change() picImage.Left = -hsbKanvas.Value End Sub
4.
PROGRAM FORM REINDEX FITUR CITRA
'--- ' Program : Form Indexing
' Reindex fitur-fitur citra wajah kunci ' Diprogram : Hendrik Siagian
'---
Private Type TColorFeature Id As String * 8
Value(nbinColor) As Single End Type
Private Type TShapeFeature Id As String * 8
Value(nbinTheta) As Single End Type
Private Type TTextureFeature Id As String * 8
Value(7) As Single End Type
Dim n As Integer
Private Sub cmdCancel_Click() Unload Me
End Sub
Private Sub cmdOK_Click() n = 0
tmrTunda.Enabled = True End Sub
Dim NFile As String n = n + 1
NFile = App.Path & "\Face\face" & DeciToHex(n, 4) & ".bmp" imgFace.Picture = LoadPicture(NFile)
lblReindex.Caption = "Extract Feature From : " & NFile CreateDBColorFeature NFile, n
CreateDBShapeFeature NFile, n CreateDBTextureFeature NFile, n If n = NIDFace Then
tmrTunda.Enabled = False n = 0
MsgBox "Reindex Finished!", vbOKOnly + vbInformation, "Confirmation" Unload Me
End If End Sub
'--- ' Membangun data base fitur warna dari semua ' citra wajah
'---
Private Sub CreateDBColorFeature(NFile As String, nRec As Integer) Dim r As Integer
Dim IdFace As String * 8 Dim gcf As TMatrix Dim nFileDB As String Dim vFileDB As Integer
Dim RecColorF As TColorFeature Dim pRec As Integer
nFileDB = App.Path & "\Feature\ColorF.txt" vFileDB = FreeFile
pRec = Len(RecColorF)
Open nFileDB For Random As #vFileDB Len = pRec IdFace = "face" & DeciToHex(nRec, 4)
gcf = GetColorFeature(NFile, binH, binS, binI) RecColorF.Id = IdFace
For r = 1 To gcf.Row
RecColorF.Value(r) = gcf.Value(2, r) Next r
Put #vFileDB, nRec, RecColorF Close #vFileDB
End Sub
'--- ' Membangun data base fitur bentuk (shape dari semua ' citra wajah
'---
Private Sub CreateDBShapeFeature(NFile As String, nRec As Integer) Dim r As Integer
Dim IdFace As String * 8 Dim gsf As TMatrix Dim nFileDB As String Dim vFileDB As Integer
Dim RecShapeF As TShapeFeature Dim pRec As Integer
nFileDB = App.Path & "\Feature\ShapeF.txt" vFileDB = FreeFile
pRec = Len(RecShapeF)
Open nFileDB For Random As #vFileDB Len = pRec IdFace = "face" & DeciToHex(nRec, 4)
For r = 1 To gsf.Row
RecShapeF.Value(r) = gsf.Value(3, r) Next r
Put #vFileDB, nRec, RecShapeF Close #vFileDB
End Sub
'--- ' Membangun data base fitur Texture dari semua
' citra wajah
'---
Private Sub CreateDBTextureFeature(NFile As String, nRec As Integer) Dim r As Integer
Dim IdFace As String * 8 Dim gtf As TGraycoprops Dim tf As TMatrix Dim nFileDB As String Dim vFileDB As Integer
Dim RecTextureF As TTextureFeature Dim pRec As Integer
nFileDB = App.Path & "\Feature\TextureF.txt" vFileDB = FreeFile
pRec = Len(RecTextureF)
Open nFileDB For Random As #vFileDB Len = pRec IdFace = "face" & DeciToHex(nRec, 4)
gtf = GetTextureFeature(NFile, NumLevel) tf = TextureVector(gtf)
RecTextureF.Id = IdFace
For r = 1 To tf.Row
RecTextureF.Value(r) = tf.Value(1, r) Next r
Put #vFileDB, nRec, RecTextureF Close #vFileDB
End Sub
5.
PROGRAM FORM IMAGE RETRIEVAL
'--- ' Program : Form Imager Retrieval
' Menyusu Ranking hasil temu-kembali citra wajah ' Diprogram : Hendrik Siagian
'---
Private Type TColorFeature Id As String * 8
Value(nbinColor) As Single End Type
Private Type TShapeFeature Id As String * 8
Value(nbinTheta) As Single End Type
Private Type TTextureFeature Id As String * 8
Private Sub Form_Load() Select Case IROption
Case 1: Me.Caption = "Searching with Color Fiture" Case 2: Me.Caption = "Searching with Shape Fiture" Case 3: Me.Caption = "Searching with Texture Fiture" Case 4: Me.Caption = "Searching with Bayesian Methode" End Select
If AdaCapture = False Then NFileQuery = ImgFileName End If
lblQuery = "Query : " & NFileQuery Select Case IROption
Case 1: ColorImageRetrieval NFileQuery
SortFile App.Path & "\Output\IROutC.txt" Case 2: ShapeImageRetrieval NFileQuery
SortFile App.Path & "\Output\IROutS.txt" Case 3: TextureImageRetrieval NFileQuery
SortFile App.Path & "\Output\IROutT.txt" Case 4: BayesImageRetrieval NFileQuery
SortFile App.Path & "\Output\IROutB.txt" 'SortFile App.Path & "\Output\IROutC.txt" 'SortFile App.Path & "\Output\IROutS.txt" 'SortFile App.Path & "\Output\IROutT.txt" End Select
End Sub
'--- ' ColorImageRetrieval : Temu Kembali Citra berdasarkan ' Warna (Color)
'--- Private Sub ColorImageRetrieval(NFile As String)
Dim gcfQuery As TMatrix Dim gcfLib As TMatrix Dim nfColor As String Dim vfColor As Integer
Dim RecColorF As TColorFeature Dim nfIROut As String
Dim vfIROut As Integer Dim RecSim As TSimilarity Dim nRec As Integer Dim r As Integer Dim ColorSim As Single
gcfQuery = GetColorFeature(NFile, binH, binS, binI) gcfLib.Col = 2
gcfLib.Row = nbin
ReDim gcfLib.Value(2, nbinColor)
nfColor = App.Path & "\Feature\ColorF.txt" vfColor = FreeFile
Open nfColor For Random As #vfColor Len = Len(RecColorF)
nfIROut = App.Path & "\Output\IROutC.txt" vfIROut = FreeFile
Open nfIROut For Random As #vfIROut Len = Len(RecSim)
nRec = 0
Do While Not EOF(vfColor) nRec = nRec + 1
Get #vfColor, nRec, RecColorF For r = 1 To nbinColor
gcfLib.Value(1, r) = r
gcfLib.Value(2, r) = RecColorF.Value(r) Next r
RecSim.Sim = ColorSim Put #vfIROut, nRec, RecSim Loop
Close #vfColor Close #vfIROut End Sub
'--- ' ShapeImageRetrieval : Temu Kembali Citra berdasarkan ' Bentuk (Shape)
'--- Private Sub ShapeImageRetrieval(NFile As String)
Dim gsfQuery As TMatrix Dim gsfLib As TMatrix Dim nfShape As String Dim vfShape As Integer
Dim RecShapeF As TShapeFeature Dim nfIROut As String
Dim vfIROut As Integer Dim RecSim As TSimilarity Dim nRec As Integer Dim r As Integer Dim ShapeSim As Single
gsfQuery = GetShapeFeature(NFile, nbinTheta, Threshold)
gsfLib.Col = 3 gsfLib.Row = nbin
ReDim gsfLib.Value(3, nbinTheta)
nfShape = App.Path & "\Feature\ShapeF.txt" vfShape = FreeFile
Open nfShape For Random As #vfShape Len = Len(RecShapeF)
nfIROut = App.Path & "\Output\IROutS.txt" vfIROut = FreeFile
Open nfIROut For Random As #vfIROut Len = Len(RecSim)
nRec = 0
Do While Not EOF(vfShape) nRec = nRec + 1
Get #vfShape, nRec, RecShapeF For r = 1 To nbinTheta
gsfLib.Value(1, r) = r
gsfLib.Value(3, r) = RecShapeF.Value(r) Next r
ShapeSim = CosineSim(gsfQuery, gsfLib, 3) RecSim.Id = RecShapeF.Id
RecSim.Sim = ShapeSim Put #vfIROut, nRec, RecSim Loop
Close #vfShape Close #vfIROut End Sub
'--- ' TextureImageRetrieval : Temu Kembali Citra berdasarkan ' Tekstur (Texture)
'--- Private Sub TextureImageRetrieval(NFile As String) Dim gtfQuery As TGraycoprops
Dim RecTextureF As TTextureFeature Dim nfIROut As String
Dim vfIROut As Integer Dim RecSim As TSimilarity Dim nRec As Integer Dim r As Integer
Dim TextureSim As Single
gtfQuery = GetTextureFeature(NFile, NumLevel) tfQuery = TextureVector(gtfQuery)
gtfLib.Col = tfQuery.Col gtfLib.Row = tfQuery.Row
ReDim gtfLib.Value(tfQuery.Col, tfQuery.Row)
nfTexture = App.Path & "\Feature\TextureF.txt" vfTexture = FreeFile
Open nfTexture For Random As #vfTexture Len = Len(RecTextureF)
nfIROut = App.Path & "\Output\IROutT.txt" vfIROut = FreeFile
Open nfIROut For Random As #vfIROut Len = Len(RecSim)
nRec = 0
Do While Not EOF(vfTexture) nRec = nRec + 1
Get #vfTexture, nRec, RecTextureF For r = 1 To gtfLib.Row
gtfLib.Value(1, r) = RecTextureF.Value(r) Next r
TextureSim = CosineSim(tfQuery, gtfLib, 1) RecSim.Id = RecTextureF.Id
RecSim.Sim = TextureSim Put #vfIROut, nRec, RecSim Loop
Close #vfTexture Close #vfIROut End Sub
'--- ' BayesImageRetrieval : Temu Kembali Citra berdasarkan ' Metode Bayesian
'--- Private Sub BayesImageRetrieval(NFile As String)
Dim nfIRColor As String Dim nfIRShape As String Dim nfIRTexture As String Dim nfIROut As String Dim vfIRColor As Integer Dim vfIRShape As Integer Dim vfIRTexture As Integer Dim vfIROut As Integer Dim RecSim As TSimilarity Dim pRec As Integer Dim nRec As Integer Dim n As Integer Dim SimColor As Single Dim SimShape As Single Dim SimTexture As Single Dim SimBayes As Single
nfIRColor = App.Path & "\Output\IROutC.txt" nfIRShape = App.Path & "\Output\IROutS.txt" nfIRTexture = App.Path & "\Output\IROutT.txt" nfIROut = App.Path & "\Output\IROutB.txt"
pRec = Len(RecSim)
nRec = FileLen(nfIRColor) / pRec vfIRColor = FreeFile
Open nfIRColor For Random As #vfIRColor Len = pRec
vfIRShape = FreeFile
Open nfIRShape For Random As #vfIRShape Len = pRec
vfIRTexture = FreeFile
Open nfIRTexture For Random As #vfIRTexture Len = pRec
vfIROut = FreeFile
Open nfIROut For Random As #vfIROut Len = pRec
For n = 1 To nRec
Get #vfIRColor, n, RecSim SimColor = RecSim.Sim Get #vfIRShape, n, RecSim SimShape = RecSim.Sim Get #vfIRTexture, n, RecSim SimTexture = RecSim.Sim
SimBayes = 1 - ((1 - SimColor) * _ (1 - SimShape) * _ (1 - SimTexture)) RecSim.Sim = SimBayes
Put #vfIROut, n, RecSim Next n
Close #vfIRColor Close #vfIRShape Close #vfIRTexture Close #vfIROut End Sub
'--- ' SortFile : Mengurutkan file output berdasarkan ' nilai similarity
'--- Private Sub SortFile(NFile As String)
Dim RecSim As TSimilarity Dim pRec As Integer Dim nRec As Integer Dim vFile As Integer Dim n As Integer Dim x As Integer Dim y As Integer
Dim RSim() As TSimilarity
pRec = Len(RecSim)
nRec = FileLen(NFile) / pRec ReDim RSim(nRec)
vFile = FreeFile
Open NFile For Random As #vFile Len = pRec n = 0
Do While Not EOF(vFile) n = n + 1
If n > nRec Then Exit Do Get #vFile, n, RSim(n) Loop
'--- Swap Sort
For x = 1 To nRec - 1 For y = x + 1 To nRec
If RSim(x).Sim < RSim(y).Sim Then RecSim = RSim(x)
RSim(x) = RSim(y) RSim(y) = RecSim End If
Next y Next x
'--- Simpan ulang hasil sort
Open NFile For Random As #vFile Len = pRec For n = 1 To nRec
Put #vFile, n, RSim(n) Next n
Close #vFile End Sub
6.
PROGRAM FORM VIEWOUT
'--- ' Program : Form View Out
' Menampilkan hasil temu-kembali citra wajah ' Diprogram : Hendrik Siagian
'---
Dim HScreen As Integer Dim WScreen As Integer Dim WSpace As Integer Dim HSpace As Integer Dim WImg As Integer Dim HImg As Integer
Private Sub Form_Activate() Select Case IROption
Case 1: Me.Caption = "Searching with Color Fiture" DisplayIROut (App.Path & "\Output\IROutC.txt") Case 2: Me.Caption = "Searching with Shape Fiture" DisplayIROut (App.Path & "\Output\IROutS.txt") Case 3: Me.Caption = "Searching with Texture Fiture" DisplayIROut (App.Path & "\Output\IROutT.txt") Case 4: Me.Caption = "Searching with Bayesian Methode" DisplayIROut (App.Path & "\Output\IROutB.txt") End Select
End Sub
Private Sub Form_Resize() Dim n As Integer Dim nLeft As Integer Dim nTop As Integer
WScreen = Me.ScaleWidth HScreen = Me.ScaleHeight If WScreen < 350 Then Exit Sub If HScreen < 180 Then Exit Sub WSpace = 20
HSpace = 20
WImg = (WScreen - 12 * WSpace) / 11 HImg = (HScreen - 9 * WSpace) / 5
lblRanking(n).Top = nTop lblRanking(n).Left = nLeft lblRanking(n).Width = 1.5 * WImg lblRanking(n).Alignment = 2
lblIdFace(n).Top = lblRanking(n).Top + lblRanking(n).Height lblIdFace(n).Left = nLeft
lblIdFace(n).Width = 1.5 * WImg lblIdFace(n).Alignment = 2
imgOut(n).Top = lblIdFace(n).Top + lblIdFace(n).Height imgOut(n).Left = nLeft
imgOut(n).Width = 1.5 * WImg imgOut(n).Height = 1.5 * HImg nLeft = 4 * WSpace + 3 * WImg Else
lblRanking(n).Top = nTop + 2 * HSpace lblRanking(n).Left = nLeft
lblRanking(n).Width = WImg lblRanking(n).Alignment = 2
lblIdFace(n).Top = lblRanking(n).Top + lblRanking(n).Height lblIdFace(n).Left = nLeft
lblIdFace(n).Width = WImg lblIdFace(n).Alignment = 2
imgOut(n).Top = lblIdFace(n).Top + lblIdFace(n).Height imgOut(n).Left = nLeft
imgOut(n).Width = WImg imgOut(n).Height = HImg nLeft = nLeft + WSpace + WImg End If
Next n
nTop = imgOut(0).Top + imgOut(0).Height + HSpace nLeft = WSpace
For n = 1 To 11
lblRanking(8 + n).Top = nTop lblRanking(8 + n).Left = nLeft lblRanking(8 + n).Width = WImg lblRanking(8 + n).Alignment = 2
lblIdFace(8 + n).Top = lblRanking(8 + n).Top + lblRanking(8 + n).Height
lblIdFace(8 + n).Left = nLeft lblIdFace(8 + n).Width = WImg lblIdFace(8 + n).Alignment = 2
imgOut(8 + n).Top = lblIdFace(8 + n).Top + lblIdFace(8 + n).Height imgOut(8 + n).Left = nLeft
imgOut(8 + n).Width = WImg imgOut(8 + n).Height = HImg
lblRanking(19 + n).Top = imgOut(8 + n).Top + imgOut(8 + n).Height + HSpace
lblRanking(19 + n).Left = nLeft lblRanking(19 + n).Width = WImg lblRanking(19 + n).Alignment = 2
lblIdFace(19 + n).Top = lblRanking(19 + n).Top + lblRanking(19 + n).Height
lblIdFace(19 + n).Left = nLeft lblIdFace(19 + n).Width = WImg lblIdFace(19 + n).Alignment = 2
imgOut(19 + n).Width = WImg imgOut(19 + n).Height = HImg nLeft = nLeft + WSpace + WImg Next n
'DisplayOutputIR
End Sub
'--- 'DisplayIROut : Subprogram untuk menampilkan output 'Data Hasil pencarian dibaca dari file IROut
'sesuai dengan fitur (Color, Shape, Texture atau 'Bayesian)
'--- Private Sub DisplayIROut(NFile As String)
Dim vFile As Integer Dim RecSim As TSimilarity Dim pRec As Integer Dim nRec As Integer Dim n As Integer Dim stRank As String
pRec = Len(RecSim) nRec = FileLen(NFile)
imgOut(0).Stretch = True
imgOut(0).Picture = LoadPicture(NFileQuery) imgOut(0).Visible = True
stRank = "Image" & vbCrLf & "Query" lblRanking(0).Caption = stRank lblRanking(0).Visible = True lblIdFace(0).Caption = ""
vFile = FreeFile
Open NFile For Random As #vFile Len = pRec n = 0
Do While Not (EOF(vFile)) n = n + 1
Get #vFile, n, RecSim
stRank = n & vbCrLf & RecSim.Sim imgOut(n).Stretch = True
imgOut(n).Picture = LoadPicture(App.Path & _
"\Face\" & RecSim.Id & ".bmp") lblRanking(n).Alignment = 2
lblRanking(n).Caption = stRank lblIdFace(n).Alignment = 2 lblIdFace(n).Caption = RecSim.Id lblRanking(n).Visible = True lblIdFace(n).Visible = True imgOut(n).Visible = True If n >= 30 Then Exit Do Loop
Close #vFile End Sub
Private Sub imgOut_Click(Index As Integer) Dim stIdFace As String
If Index > 0 Then
stIdFace = lblIdFace(Index).Caption
If Not (Trim(SearchImageSource(stIdFace)) = "") Then NFImgSource = App.Path & "\Picture\" & _
SearchImageSource(stIdFace) & ".jpg" frmMain.Enabled = False
End If End If End Sub
'--- 'SearchImageSource : Fungsi untuk mencari path dan nama file 'sesuai denga IdFace
'--- Private Function SearchImageSource(sId As String) As String Dim NFile As String
Dim vFile As Integer Dim IdFace As String Dim IdSource As String
vFile = FreeFile
NFile = App.Path & "\FileLink.txt" Open NFile For Input As #vFile SearchImageSource = ""
Do While Not (EOF(vFile))
Input #vFile, IdFace, IdSource If Trim(sId) = Trim(IdFace) Then SearchImageSource = IdSource Exit Do
End If Loop
Close #vFile End Function
7.
PROGRAM FORM IMAGE SOURCE
'--- ' Program : Form Image Source ' Menampilkan citra sumber wajah ' Diprogram : Hendrik Siagian
'---
Dim stShpFace As Integer Dim HScreen As Integer Dim WScreen As Integer
Private Sub Form_Load() Me.Caption = NFImgSource
picSource.Picture = LoadPicture(NFImgSource) picSource.AutoSize = True
bmpX = picSource.Width bmpY = picSource.Height stShpFace = 0
End Sub
Private Sub Form_Resize() WScreen = Me.ScaleWidth HScreen = Me.ScaleHeight If WScreen < 350 Then Exit Sub If HScreen < 100 Then Exit Sub
picKanvas.Width = WScreen - vsbKanvas.Width - 2 picKanvas.Height = HScreen - hsbKanvas.Height - 2 vsbKanvas.Left = picKanvas.Width
vsbKanvas.Height = picKanvas.Height hsbKanvas.Width = picKanvas.Width hsbKanvas.Top = picKanvas.Height + 1 End Sub
frmMain.Enabled = True End Sub
Private Sub vsbKanvas_Change() picSource.Top = -vsbKanvas.Value End Sub
Private Sub hsbKanvas_Change() picSource.Left = -hsbKanvas.Value End Sub
'Private Sub picSource_KeyUp(KeyCode As Integer, Shift As Integer) ' If KeyCode = 67 Then
' shpFace.Left = FacePos.x1 ' shpFace.Top = FacePos.y1
' shpFace.Width = FacePos.x2 - FacePos.x1 ' shpFace.Height = FacePos.y2 - FacePos.y1 ' If stShpFace = 0 Then
' shpFace.Visible = True ' stShpFace = 1
' Else
' shpFace.Visible = False ' stShpFace = 0
' End If ' End If 'End Sub
8.
PROGRAM FORM ABOUT
'--- ' Program : Form About
' Menampilkan layar bergulung ucapan terimakasih ' Diprogram : Hendrik Siagian
'---
Dim Ucapan As String Dim Judul As String Dim p As Integer
Private Sub Form_Load()
Judul = "Temu Kembali Citra Wajah Berdasarkan" & vbCrLf Judul = Judul & "Pengukuran Kemiripan Fitur Dengan" & vbCrLf Judul = Judul & "Menggunakan Jaringan Bayesian"
lblJudul.Caption = Judul
imgLogo.Picture = LoadPicture(App.Path & "\LogoFIKTI.jpg") imgPenulis.Picture = LoadPicture(App.Path & "\FotoPenulis.jpg") imgLogo.Visible = True
imgPenulis.Visible = False
Ucapan = "Atas selesainya penulisan tesis ini, " & vbCrLf
Ucapan = Ucapan & "penulis mengucapkan terimakasih dan penghormatan " & vbCrLf
Ucapan = Ucapan & "setinggi-tingginya kepada: " & vbCrLf & vbCrLf Ucapan = Ucapan & "KOMISI PEMBIMBING:" & vbCrLf
Ucapan = Ucapan & "1. Bapak Dr. POLTAK SIHOMBING, MKom. dan" & vbCrLf Ucapan = Ucapan & "2. Bapak Prof. DR. Muhammad Zarlis" & vbCrLf
Ucapan = Ucapan & "Atas pengarahan dan dorongan yang telah diberikan " Ucapan = Ucapan & "sehingga memberi inspirasi bagi penulis untuk membuat " Ucapan = Ucapan & "aplikasi ini." & vbCrLf & vbCrLf
Ucapan = Ucapan & "PENGUJI TESIS :" & vbCrLf
Ucapan = Ucapan & "yang diberikan." & vbCrLf & vbCrLf & vbCrLf
Ucapan = Ucapan & "Secara khusus penulis juga mengucapkan TERIMA KASIH kepada :" & vbCrLf
Ucapan = Ucapan & "Bapak M. ANDRI BUDIMAN, S.T., M.Comp.Sc., M.E.M. " & vbCrLf
Ucapan = Ucapan & "Atas Dorongan Semangat dan Solusi yang diberikan" & vbCrLf
Ucapan = Ucapan & "tidak akan pernah dilupakan. Terimakasih atas e-book nya." & vbCrLf & vbCrLf
Ucapan = Ucapan & "Terimakasih juga untuk Seluruh Dosen, Staf, Karyawan dan " & vbCrLf
Ucapan = Ucapan & "rekan-rekan mahasiwa di Fakultas Ilmu Komputer dan " & vbCrLf
Ucapan = Ucapan & "Teknologi Informasi - USU atas kerjasama yang baik." & vbCrLf & vbCrLf
Ucapan = Ucapan & "Untuk Istri Tercinta Ir. Dra. Ellen Tampubolon MSi., terimaksih " & vbCrLf
Ucapan = Ucapan & "atas kesabarannya." & vbCrLf & vbCrLf Ucapan = Ucapan & "Dari" & vbCrLf
Ucapan = Ucapan & "HENDRIK SIAGIAN" & vbCrLf Ucapan = Ucapan & "NIM: 107038003" & vbCrLf
Ucapan = Ucapan & "PROGRAM STUDI MAGISTER (S2) TEKNIK INFORMATIKA" & vbCrLf
Ucapan = Ucapan & "FAKULTAS ILMU KOMPUTER DAN TEKNOLOGI INFORMASI" & vbCrLf
Ucapan = Ucapan & "UNIVERSITAS SUMATERA UTARA " Ucapan = Ucapan & "MEDAN" & vbCrLf
Ucapan = Ucapan & "2013" & vbCrLf Ucapan = Ucapan & "---" & vbCrLf
p = 100 End Sub
Private Sub Form_Activate()
Me.Left = (Screen.Width - Me.Width) \ 2 Me.Top = (Screen.Height - Me.Height) \ 2 tmrTunda.Enabled = True
lblUcapan.Caption = Ucapan End Sub
Private Sub Form_Unload(Cancel As Integer) frmMain.Enabled = True
Unload Me End Sub
Private Sub cmdTutup_Click() frmMain.Enabled = True Unload Me
End Sub
Private Sub tmrTunda_Timer()
imgLogo.Visible = Not imgLogo.Visible imgPenulis.Visible = Not imgPenulis.Visible End Sub
Private Sub tmrGulung_Timer() p = p - 3
