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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29306

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Local Mesh Co-Occurrence Pattern for Content Based Image Retrieval
This paper presents the local mesh co-occurrence patterns (LMCoP) using HSV color space for image retrieval system. HSV color space is used in this method to utilize color, intensity and brightness of images. Local mesh patterns are applied to define the local information of image and gray level co-occurrence is used to obtain the co-occurrence of LMeP pixels. Local mesh co-occurrence pattern extracts the local directional information from local mesh pattern and converts it into a well-mannered feature vector using gray level co-occurrence matrix. The proposed method is tested on three different databases called MIT VisTex, Corel, and STex. Also, this algorithm is compared with existing methods, and results in terms of precision and recall are shown in this paper.
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[1] Christoph Palm, “Color texture classification by integrative Cooccurrence matrices,” Pattern Recognition, vol.37 pp. 965-976(2004)
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