Image retrieval by using subpiece accumulative histogram
Liangpei Zhang, Xianwen Ke, Hong Shu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
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.