slugEdge Detection using Memetic Algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2013, Vol 1, Issue 3
Abstract
Edge detection is one of the open issues in image processing. GA, inspired by biological evolution has been typically used for addressing this problem. MA, inspired by biological and / or social evolution, having been tried successfully for many optimization problems, is yet to be tried for this typical problem. Experimental results show the feasibility of the approach in identifying edges in an image. With suitable parameter values, the algorithm was able to successfully identify edges in the test image. It must be noted that the appropriate parameter values depend on the nature of the image, and thus, may vary per application. Experimental result shows that memetic algorithm is slightly superior for finding edges in comparison of genetic algorithm because search technique is incorporated in genetic algorithm and the solution space is better searched. Result indicates that memetic algorithm is extremely powerful technique for edge detection.
Authors and Affiliations
Shivani Rathi, Mr. Pawan Dahiya, Mr. Pradeep Kumar
Keywords
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