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26 September 2001 Image retrieval by using subpiece accumulative histogram
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Proceedings Volume 4551, Image Compression and Encryption Technologies; (2001)
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
In the algorithms of content-based image retrieval, color has been used widely as the most important visual character. Three key factors for the image retrieval when using color characters are: color expression, color abstraction, and color similarity treasure. In this paper, authors develop a sub-block method based on the color characters to retrieve images. It is found that the image retrieval accuracy of the sub-block histogram method is superior to that of the conventional single global histogram method, but its image retrieval speed is slightly slower than that of the single global histogram method.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Liangpei Zhang, Xianwen Ke, and Hong Shu "Image retrieval by using subpiece accumulative histogram", Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001);


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