Texture Feature Extraction Using MGRLBP Method for Medical Image Classification

Author(s):  
Suganya Ramamoorthy ◽  
R. Kirubakaran ◽  
Rajaram Siva Subramanian
Author(s):  
Gang Zhang ◽  
Z. M. Ma ◽  
Li Yan

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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