Modified color motif co-occurrence matrix for image indexing and retrieval

In this paper, the modified color motif co-occurrence matrix (MCMCM) is presented for content-based image retrieval. The proposed method collects the inter-correlation between the red, green, and blue color planes which is absent in color motif co-occurrence matrix. The proposed method integrates the MCMCM and difference between the pixels of a scan pattern (DBPSP) features with equal weights in contrast to the system which integrates motif co-occurrence matrix, DBPSP, and color histogram with k-mean features with optimized weights. The retrieval results of the proposed method are tested on different image databases i.e. MIT VisTex (DB1) and Corel-1000 (DB2). The results after being investigated show a significant improvement in terms of average retrieval rate and average retrieval precision on DB1 database and average precision, average recall and average retrieval rate on DB2 database as compared to the state-of-art techniques on respective databases.

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► The modified color motif co-occurrence matrix (MCMCM) is presented for image retrieval.
► The proposed method collects the inter-correlation between the RGB color planes.
► Proposed method integrates the MCMCM and difference between the pixels of a scan pattern (DBPSP) features with equal weights.
► The retrieval results of the proposed method are tested on two different image databases.