26 September 2001 Image retrieval by using subpiece accumulative histogram
Author Affiliations +
Proceedings Volume 4551, Image Compression and Encryption Technologies; (2001) https://doi.org/10.1117/12.442895
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, Liangpei Zhang, Xianwen Ke, Xianwen Ke, Hong Shu, Hong Shu, } "Image retrieval by using subpiece accumulative histogram", Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001); doi: 10.1117/12.442895; https://doi.org/10.1117/12.442895


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