Appendix Identifikasi Bibit Unggul Daun Tanaman Karet Melalui Deteksi Tepi Menggunakan Metode Sobel

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Lampiran 1. Fungsi Utama

function varargout = utama(varargin) gui_Singleton = 1;

gui_Singleton = 1;

gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @utama_OpeningFcn, ... 'gui_OutputFcn', @utama_OutputFcn, ... 'gui_LayoutFcn', [] , ...

'gui_Callback', []); if nargin && ischar(varargin{1})

gui_State.gui_Callback = str2func(varargin{1}); end

if nargout

[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});

else

gui_mainfcn(gui_State, varargin{:}); end

function utama_OpeningFcn(hObject, eventdata, handles, varargin)

handles.output = hObject; guidata(hObject, handles);

function varargout = utama_OutputFcn(hObject, eventdata, handles)

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function pushbutton1_Callback(hObject, eventdata, handles) axes(handles.axes1);

clear gca;

[FileName, PathName, FilterIndex] = uigetfile('*.JPG','Pilih Citra','*JPG');

handles.NamaFile=FileName; handles.PathName=PathName; guidata(hObject,handles);

if isequal(FileName,0)

disp('User selected Cancel') else

axes(handles.axes1); clear gca;

set(gca,'ytick',[]); set(gca,'xtick',[]);

axes(handles.axes1);

handles.Citra.RGB=imread([PathName FileName]); image(handles.Citra.RGB),

set(gca,'ytick',[]); set(gca,'xtick',[]);

guidata(hObject, handles); imshow(handles.Citra.RGB); end

function pushbutton3_Callback(hObject, eventdata, handles) gambar1 = handles.Citra.RGB;

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temp=[temp1;temp2;temp3;temp4;temp5;temp6;temp7;temp8;temp9; temp10;temp11;temp12;temp13;temp14];

n=14;%jumlah template

[kore t]=pencocokan_pola(citra,temp,n); k=kore*100;

fprintf('Nilai koefisien korelasi = %f\n',k);

fprintf('Gambar yang diuji paling cocok dengan template %d\n',t);

set(handles.hasil,'string',k) set(handles.kemiripan,'string',t)

function pushbutton4_Callback(hObject, eventdata, handles) close

function hasil_Callback(hObject, eventdata, handles)

function hasil_CreateFcn(hObject, eventdata, handles) if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

set(hObject,'BackgroundColor','white'); end

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Lampiran 2. Fungsi Identifikasi

function output = processing (input)

b=rgb2gray(input);%aras keabuan

u=imresize(b,[256 256]);%ukuran citra

%pelembutan citra

median=medfilt2(u,[3 3]); wiener=wiener2(median,[5 5]);

%Pengambangan (thresholding) [m n]=size(u);

for i=1:m, for j=1:n,

if(u(i,j)<128) biner(i,j)=0; else

biner(i,j)=255; end

end end

edge_sobel = edge(biner,'sobel');

output=bwmorph(edge_sobel,'skel',Inf);

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Lampiran 3. Fungsi Pencocokan Pola

function [r t]=pencocokan_pola(citra,temp,n)

r=0;

for i=1:14

bwh=(256*(i-1))+1; atas=256*i;

temp_juga=temp(bwh:atas,:); y=corr2(citra,temp_juga); if(y>r)