An analysis based on local binary pattern (LBP) and color moment (CM) for efficient image retrieval

This paper objective is to analyze LBP and CM for the comparative analysis in the field of content based image retrieval (CBIR). In this paper LBP and CM methods are used for the efficient retrieval of the images from the Wang database. All the 10 classes are used for the results comparison. LBP is used for better thresholding and CM is used with color dominant features for the efficient retrieval. The results suggested that the results may vary with different input images and the chances of the prediction are also different.