To Propose an Improvement in Zhang-Suen Algorithm using Genetic Algorithm for Image Thinning
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International Journal of Computer & Organization Trends (IJCOT) |  |
| © 2016 by IJCOT Journal | ||
| Volume - 6 Issue - 4 |
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| Year of Publication : 2016 | ||
| Authors : Simrat Kaur Malik, Amrit Kaur | ||
| DOI : 10.14445/22492593/IJCOT-V34P312 |
Citation
Simrat Kaur Malik, Amrit Kaur"To Propose an Improvement in Zhang-Suen Algorithm using Genetic Algorithm for Image Thinning", International Journal of Computer & organization Trends (IJCOT), V6(4):4-8 Jul - Aug 2016, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
AbstractThinning is the preprocessing stage to make simple more elevated amount analysis and recognition for such applications like OCR. In this paper thinning and its different algorithm is depicted. It is inferred that there are a few loopholes in thinning algorithm. So there is a need to enhance thinning rate. The thinning algorithm’s performance has been analyzed in terms of PSNR value, MSE value and thinning rate. Genetic Algorithm has been used to solve a wide range of optimization problems. In this paper the genetic algorithm is used to enhance execution of the algorithm. Genetic algorithm begins parallel searching from autonomous purposes of pursuit space in which the arrangement learning is poor or not accessible. The arrangement relies on the communication of the surroundings and genetic operators. The simulation results demonstrate that the proposed algorithm performs better as far as PSNR, MSE and thinning rate.
References
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Keywords
Thinning, Zhang Suen, Skeletonization, Genetic algorithm.