Image indexing by modified color co-occurrence matrix

Image indexing based on modified color co-occurrence matrix (MCCM) is proposed in this paper. First, CCM is simplified to represent the number of color (hue) pairs between adjacent pixels in the image. And then, CCM is split into diagonal and non-diagonal elements that constitute two elements of MCCM. Indexing the image by MCCM could exploit shape information in abstract level. Proposed MCCM is accumulative feature. Experimental results show the superiority of the proposed MCCM based indexing in comparison to the indexing based on other accumulative features, color histogram and auto-correlogram with very competitive computational cost.