Image Retrieval based on Segment Color Moment and Gray Co-occurrence Matrix
Yue Rong Lei · Microcomputer Information · 2012
Color and texture are two important visual features of an image.An efficient image retrieval technique which uses segment color moment and gray level co-occurrence matrix is proposed.An image is partitioned into sub-blocks of equal size according to the different backgrounds.Color of each sub-block is extracted by quantifying the HSV color space into non-equal intervals and the local color feature is represented by calculating the color moment.Texture of the whole image is obtained by using gray level co-occurrence matrix.Euclidean distance with weights is used to calculate the similarity of the images in terms of the both combined features.The efficiency of the retrieval method is demonstrated with the results.