IMAGE SEGMENTATION TECHNIQUES AND GENETIC ALGORITHM
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 4
Abstract
Image Segmentation is a decomposition of scene into its components. It is a key step in analysis. Edge, point, line, boundary texture and region detection are the various forms of image segmentation. Various technologies for image segmentation are there like thresholding, cluster based, edge based, region based and watershed segmentation. Two of the main image segmentation techniques thresholding and region growing are highly in use for image segmentation. Image segmentation by region growing method is robust fast and very easy to implement, but it suffers from: the thresholding problem, initialization, and sensitivity to noise. OTSU method of thresholding is also used for image segmentation but it also suffers from thresholding problems. Genetic algorithms are particular methods for optimizing functions; they have a great ability to find the global optimum of a problem. Here I proposed a genetic algorithm which provides the better solution than region growing and OTSU methods for the image segmentation. In proposed algorithm we will see that we get better peak signal to noise ratio and maximum absolute error comparatively than region growing and OTSU.
Authors and Affiliations
Dinesh Maru , Brijesh Shah
Keywords
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