An Image Retrieval Method Based on Region
Jinqiu Sun · Computer Engineering and Applications Journal · 2006
Recently,the global features like color histogram are used widely in content-based image retrieval systems(CBIR),these features can describe the global feature effectively,however,they can't describe the local spatial feature of image effectively.To overcome this shortcoming,this paper proposes a new algorithm based on region.First,this algorithm divides the image to multi-regions by a segment method based on perceptual color cluster;then,extract the color histogram of HSV color space and Hu moment in every regions;finally,this paper implements similarity measurement of two images by taking into consideration the similarity of every region synthetically.By the experimentation in the Mires image database,new algorithm can work effectively and efficiently.