Study on Texture Feature Extraction in Region-Based Image Retrieval System

2006 ◽  
Author(s):  
Ying Liu ◽  
Dengsheng Zhang ◽  
Guojun Lu ◽  
Wei-Ying Ma
Keyword(s):  
Feature Extraction ◽  
Image Retrieval ◽  
Retrieval System ◽  
Texture Feature ◽  
Texture Feature Extraction ◽  
Image Retrieval System

Research on Feature Extraction Based on Color and Texture

2013 ◽  
Vol 448-453 ◽  
pp. 3671-3674
Author(s):  
Yu Bing Dong ◽  
Ming Jing Li ◽  
Guang Liang Cheng
Keyword(s):  
Feature Extraction ◽  
Image Retrieval ◽  
Retrieval System ◽  
Texture Feature ◽  
Critical Stage ◽  
Texture Information ◽  
Single Feature ◽  
Image Retrieval System ◽  
Content Information

Feature extraction was a critical stage of image retrieval. For the characterization of the contents of an image could be directly affected by feature extraction. The single feature of images could not fully express images content information, make that the precision of Content-Based Image Retrieval (CBIR) be limited. To overcome the short points, texture information was used in the CBIR. The image color feature and texture feature were comprehensive extracted. And an image retrieval system was developed under MATLAB platform. The new method was simulated and verified by MATLAB.

Review on Texture Feature Extraction and Description Methods in Content-Based Medical Image Retrieval

2011 ◽  
pp. 44-67 ◽  
Author(s):  
Gang Zhang ◽  
Z. M. Ma ◽  
Li Yan
Keyword(s):  
Feature Extraction ◽  
Image Retrieval ◽  
Medical Image ◽  
Texture Feature ◽  
Texture Features ◽  
Gabor Wavelet ◽  
Texture Feature Extraction ◽  
Medical Image Retrieval ◽  
Image Retrieval System ◽  
Occurrence Matrix

Texture feature extraction and description is one of the important research contents in content-based medical image retrieval. The chapter first proposes a framework of content-based medical image retrieval system. It then analyzes the important texture feature extraction and description methods further, such as the co-occurrence matrix, perceptual texture features, Gabor wavelet, and so forth. Moreover, the chapter analyzes the improved methods for these methods and demonstrates their application in content-based medical image retrieval.

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