A new similarity measure for image segmentation
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 3
Abstract
We try to extract the component image virtually hidden in the principle image. Information theoretic quantities are used to measure similarity of images in a statistical frame work. Statistical method describes the texture in a form suitable for statistical pattern recognition. This is suggested from large primitives and fine structure of smaller primitives. Co-occurrence matrix method is used to edge frequency detection and separation. Here we appeal to the mutual information to bring out the component image from a complete image presentation.
Authors and Affiliations
M. Thiyagarajan , S. Samundeeswari
Keywords
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