Design and Implementation of Image Retrieval System Based on Block Color Moments and GLCM

Zhihui Wang, Xiaoli Ge, Wenbo Xu, Yuejiao Fan, Qila Sa, Jinlin Li · 2016

In this paper, aiming to overcome the shortcoming of global color histogram which lack of color spatial distribution information, block color moment is used to describe the color feature.In order to extract the texture feature, Canny operator for edge detection is applied firstly, and then the gray level co-occurrence matrix of the edge image is constructed.The results prove that comprehensive of color and texture in image retrieval method overcomes the limitations of using a single, at the same time it improves the retrieval accuracy and speed.

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