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Rough Set based Natural Image Segmentation under Game Theory Framework


Dipali Jitiya , Marwadi Education Foundation Group of institutions, Rajkot, Gujarat


Image segmentation, Rough set Theory, Game Theory, Image processing


The Since past few decades, image segmentation has been successfully applied to number of applications. When different image segmentation techniques are applied to an image, they produce different results especially if images are obtained under different conditions and have different attributes. Each technique works on a specific concept, such that it is important to decide as to which image segmentation technique should for a given application domain. On combining the strengths of individual segmentation techniques, the resulting integrated method yields better results thus enhancing the synergy of the individual methods alone. This work improves the segmentation technique of combining results of different methods using the concept of game theory. This is achieved through Nash equilibrium along with various similarity distance measures. Using game theory the problem is divided into modules which are considered as players. The number of modules depends on number of techniques to be integrated. The modules work in parallel and interactive manner. The effectiveness of the technique will be demonstrated by simulation results on different sets of test images.

Other Details

Paper ID: IJSRDV1I3012
Published in: Volume : 1, Issue : 3
Publication Date: 01/06/2013
Page(s): 448-452

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