Solving Image Thresholding Problem Using Hybrid Algorithm IJTSRD


Thresholding is a reputed image segmentationtechnique used to obtain binary image from the gray levelimage. In this paper, histogram based bi’“level and multi-levelsegmentation is proposed using Improved Particle SwarmOptimization (PSO) and Enhanced Bacterial ForagingOptimization (EBFO) based hybrid algorithm. The optimalthresholds for input images are attained by maximizing Otsu’sbetween class variance function. The performance of proposedmethod is demonstrated on four benchmark images andcompared with the existing PSO and BFO algorithms. Anassessment between HA, PSO, and BFO is carried usingprevailing parameters such as objective function, convergence rate, PSNR, and DSSIM.

By Syed Shareefunnisa | M Bhargavi”Solving Image Thresholding Problem Using Hybrid Algorithm”

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017,

URL: http://www.ijtsrd.com/papers/ijtsrd7021.pdf

http://www.ijtsrd.com/engineering/computer-engineering/7021/solving-image-thresholding-problem-using-hybrid-algorithm/syed-shareefunnisa-

call for paper Computer Engineering, international journal Computer Engineering, ugc approved journals Computer Engineering




Solving Image Thresholding Problem Using Hybrid Algorithm IJTSRD IEEE PAPER





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