Image indexing by modified color cooccurrence matrix

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