• Tidak ada hasil yang ditemukan

A New Technique Based on PIFS Code for Image Retrieval System.

N/A
N/A
Protected

Academic year: 2017

Membagikan "A New Technique Based on PIFS Code for Image Retrieval System."

Copied!
17
0
0

Teks penuh

Gambar

Figure 2. Image Sample (a), Decompressing gray scale image (b), representation of distance feature (c), representation of angle feature (d), variant contrast (e), spatial dimension (f)
Figure 3 shows the results of testing the system to find the accuracy for homogeneous image type
Figure 7.  Feature’s endurance testing, (a) rotation testing, (b) zooming testing, (c) blurring testing, (d) brightness testing

Referensi

Dokumen terkait

This paper combines the SIFT feature extraction algorithm and the manifold learning algorithm ISOMAP to conduct image retrieval experiments on the ORL face image data set, the

The computer performs feature extraction from parameters of coffee bean image samples in the term of texture (energy, entropy, contrast, homogeneity) and color

Authentication The authentication process was conducted by calculating the similarity between user’s keystroke features obtained from login process and user’s keystroke feature

In this research, a stroke identification system has been built comprising image enhancement with CLAHE, feature extraction statistically with the mean value, deviation standard,

In this paper three different features of an image that is color feature and edge detection which are global features and corner detection that is local features are introduced.. By

Each lighting LED broadcasts its position information using VLC technology and a mobile receiver with a dual image sensor estimates its three-dimensional position and azimuth angle from

Leaf venation feature extraction was obtained from the calculation of the value of straightness, different angle, length ratio and scale projection [25], in order to calculate these

Thus, by using cluster-head as intermediate node the consumed energy is reduced and the number of sent images is high even if the distance is far from the base station.. The