An endoscopic image retrieval system based on color clustering method

Shunren Xia; Weirong Mo; Yong Yan; Xichao Chen

doi:10.1117/12.538935

25 September 2003 An endoscopic image retrieval system based on color clustering method

Shunren Xia, Weirong Mo, Yong Yan, Xichao Chen

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538935
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

An endoscopic image retrieval system based on color clustering method has been presented in this paper. To reduce the color sensitivity to noise and the color histogram dimension and to enhance the accuracy and speed of retrieval, HSV color space is employed in this system and each Hue, Saturation and Value (Intensity) component have been quantified into 6, 8, 4 levels, respectively, because endoscopic images generally contain only a few of dominant colors, such as red, yellow or purple and HSV color space is most approximate to human perception, so the whole HSV space is divided into 192 (6x8x4) subspaces and each subspace is clustered as an index. So a color histogram with 256-dimension is used as indexing and the histogram similarity measure is also given at the same time. The algorithm has been successfully adopted by our endoscopic image retrieval system and the experiment with a database about 1000 clinical endoscopic images has demonstrated its effectiveness and rationality.

Citation Download Citation

Shunren Xia, Weirong Mo, Yong Yan, and Xichao Chen "An endoscopic image retrieval system based on color clustering method", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538935

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