Texture feature extraction and description using fuzzy set of main dominant directions of variable scales in content-based medical image retrieval

Authors:
Gang Zhang;Z. M. Ma;Liguo Deng
Affiliations:
Northeastern University and Shenyang University of Technology, Shenyang, China;Northeastern University, Shenyang, China;Northeastern University, Shenyang, China
Venue:
Proceedings of the 2008 ACM symposium on Applied computing
Year:
2008

Citing 2
Cited 0

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Directed filter for dominant direction fuzzy set in content-based image retrieval

Proceedings of the 2007 ACM symposium on Applied computing

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Abstract

The paper presents a new method for texture feature extraction and description. Gabor wavelet transform, statistical method and fuzzy logic are used together to compute the fuzzy set of main dominant directions of variable scales of medical images of the same kind and the membership degree of dominance of each element in the fuzzy set. Texture feature vector of each image is computed based on the fuzzy set. Moreover, the dominance of each element in the fuzzy set is introduced into the similarity measure as weight. Experiments show that the method proposed in this paper reduces the dimension of texture feature vector and alleviates heavy computation while keeping and even improving the retrieval performance.