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Review on Texture Feature Extraction and Description Methods in Content-Based Medical Image Retrieval
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Author(s): 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)
Copyright: 2009
Pages: 24
Source title:
Artificial Intelligence for Maximizing Content Based Image Retrieval
Source Author(s)/Editor(s): Zongmin Ma (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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