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- W2361670800 abstract "According to Traditional Chinese Medical Theory,the tongue information is the projection of body organ. This paper uses tongue images as study object,as the shortcomings which global feature cannot describe efficiently the information of the tongue images,this paper proposes a traditional Chinese medical tongue images retrieval method based on local feature to improve the recognition rate of tongue images. Because of its good stability and discrimination we choose SIFT descriptor to describe tongue images. SIFT descriptor not only has very well tolerant to scale changes,illumination variations,and image rotations,but also are robust to affine distortion,change of viewpoints and additive noise. Whereas,in order to overcome the shortcoming in terms of the large number of SIFT points and high computational costs for matching. Accordingly,we present a SVD-based method to compute the similarity of two SIFT feature points sets. Experimental results show that SVD-based SIFT feature points sets matching method gets a better tradeoff between the effect of detection and detection time costs." @default.
- W2361670800 created "2016-06-24" @default.
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- W2361670800 date "2010-01-01" @default.
- W2361670800 modified "2023-09-23" @default.
- W2361670800 title "Tongue Image Retrieval Based on Local Feature" @default.
- W2361670800 hasPublicationYear "2010" @default.
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