The Image Retrieval Method Based On The Homolographic Block Color Histogram

An image retrieval method based on the homolographic block color histogram was proposed in this paper. Firstly, the selection of color space and color quantity method was introduced. Then, the new features extracting method was given out. When describing the color distribution of the image, the traditional global histogram would ignore the space distribution features of different colors. So the objects in the image cannot be described correctly. The image space information was induced by segmenting the image using equal area rings when extracting the image features, which was named HBCH (homolographic block color histogram) method. Finally, the HBCH index and similarity computing methods were introduced and implemented. The new HBCH method was proved to be effective and timesaving compared with the traditional ones through the experiments.