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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, Z. M. Ma, Li Yan
Copyright: © 2009 |Pages: 24
ISBN13: 9781605661742|ISBN10: 1605661740|ISBN13 Softcover: 9781616925635|EISBN13: 9781605661759
DOI: 10.4018/978-1-60566-174-2.ch003
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MLA

Zhang, Gang, et al. "Review on Texture Feature Extraction and Description Methods in Content-Based Medical Image Retrieval." Artificial Intelligence for Maximizing Content Based Image Retrieval, edited by Zongmin Ma, IGI Global, 2009, pp. 44-67. https://doi.org/10.4018/978-1-60566-174-2.ch003

APA

Zhang, G., Ma, Z. M., & Yan, L. (2009). Review on Texture Feature Extraction and Description Methods in Content-Based Medical Image Retrieval. In Z. Ma (Ed.), Artificial Intelligence for Maximizing Content Based Image Retrieval (pp. 44-67). IGI Global. https://doi.org/10.4018/978-1-60566-174-2.ch003

Chicago

Zhang, Gang, Z. M. Ma, and Li Yan. "Review on Texture Feature Extraction and Description Methods in Content-Based Medical Image Retrieval." In Artificial Intelligence for Maximizing Content Based Image Retrieval, edited by Zongmin Ma, 44-67. Hershey, PA: IGI Global, 2009. https://doi.org/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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