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

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

Gang Zhang (College of Information Science and Engineering, Northeastern University, China), Z. M. Ma (College of Information Science and Engineering, Northeastern University, China) and Li Yan (Northeastern University, China)
DOI: 10.4018/978-1-60566-174-2.ch003
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Abstract

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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