Block-weight image retrieval based on human eye perception measure
基于人眼感知度的分块加权图像检索*

This paper proposed a image retrieval based on human eye perception.Firstly,computed the weight of each block according to HEPM of pixel.Secondly,used the weight to process LBP texture-histogram and HSV color-histogram of each block.Finally,executed the retrieval.The experiment results demonstrate that the algorithm combined texture and color feature with coherence of local image,show the effectiveness in improving the retrieval performance.