International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 10, No. 4, 8 Apr. 2018
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Content based Image Retrieval Using Multi Motif Co-Occurrence Matrix
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Author(s)
A.Obulesu
1,*
V.Vijaya Kumar
1
L. Sumalatha
2
Index Terms
Peano scan, Left most, Bottom right most, Concatenation
Abstract
In this paper, two extended versions of motif co-occurrence matrices (MCM) are derived and concatenated for efficient content-based image retrieval (CBIR). This paper divides the image into 2 x 2 grids. Each 2 x 2 grid is replaced with two different Peano scan motif (PSM) indexes, one is initiated from top left most pixel and the other is initiated from bottom right most pixel. This transforms the entire image into two different images and co-occurrence matrices are derived on these two transformed images: the first one is named as “motif co-occurrence matrix initiated from top left most pixel (MCMTL)” and second one is named as “motif co-occurrence matrix initiated from bottom right most pixel (MCMBR)”. The proposed method concatenates the feature vectors of MCMTL and MCMBR and derives multi motif co-occurrence matrix (MMCM) features. This paper carried out investigation on image databases i.e. Corel-1k, Corel-10k, MIT-VisTex, Brodtaz, and CMU-PIE and the results are compared with other well-known CBIR methods. The results indicate the efficacy of the proposed MMCM than the other methods and especially on MCM [19] method.
Cite This Paper
A.Obulesu, V. Vijay Kumar, L. Sumalatha," Content based Image Retrieval Using Multi Motif Co-Occurrence Matrix", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.10, No.4, pp. 59-72, 2018. DOI: 10.5815/ijigsp.2018.04.07
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