In this paper

firstly a new method for color image segmentation is proposed. The segmentation algorithm can segment an image into several regions with high visual consistency. The segmented results can simulate the feelings of human observing images

like an image have several regions with same colors or texture. After obtaining consistent regions

some image region properties like color coding

connectivity coefficient

and area ratio are then extracted as descriptors which can be used for content-based image retrieval. The color coding was obtained by quantification the pixels in the HSI color space. The experimental results shows that the proposed method can not only capture the visual impression of an image

but also have a good performance in image retrieval.