The system through a combination of improved weighted local color histogram-based image retrieval method based and global image retrieval method to improve the recall rate and precision rate. Wherein chunked local histogram-based retrieval method using the importance of the intermediate portion of the image, the image is evenly divided into 33 sub-blocks, take the middle piece of the image color characteristic distance calculated with reference to the bitmap corresponding positions , then calculate the original color histogram and color characteristics of the reference bitmap distance, respectively assigning weights to the value obtained is the degree of similarity between the images. This paper introduces the Euclidean distance similarity measure image retrieval. Experiments show that the method has good recall and precision.

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