COLOR IMAGE SEGMENTATION BASED ON JND COLOR HISTOGRAM AND GENETIC ALGORITHM

    Color features of images are represented by color histograms. These are easy to compute and are invariant to rotation and translation of image content. This designed based on an image segmentation algorithm based on the JND (Just Noticeable Difference) histogram with the Genetic Algorithm. Histogram of the given color image is computed using the JND color model. This samples each of the three axes of color space so that just enough number of visually different color bins (each bin containing visually similar colors) are obtained without compromising the visual image content. The number of histogram bins is further reduced using agglomeration successively. This merges similar histogram bins together based on a specific threshold in terms of JND. The performance of the proposed algorithm is evaluated on criteria namely PSNR and Genetic Algorithm.

Reference Paper: Color Image Segmentation Based on JNDColor Histogram
Author’s Name: Kishor Bhoyar and Omprakash Kakde
Source: IJIP
Year:2010

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