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To Enhancement in Zang and Sang Thinning Algorithm to Improve Thinning Rate using Fuzzy Logic
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 150 - Number 11 |
| Year of Publication: 2016 |
| Authors: Ravaljodh Singh, Lalita Bhutani |
10.5120/ijca2016911492
|
Ravaljodh Singh, Lalita Bhutani . To Enhancement in Zang and Sang Thinning Algorithm to Improve Thinning Rate using Fuzzy Logic. International Journal of Computer Applications. 150, 11 ( Sep 2016), 1-6. DOI=10.5120/ijca2016911492
Abstract
The main concept in this paper is that to produce clear pixels of from an image which can be shown clearly. Many methods have been introduced in this area, but in this paper a new method has been proposed which is worked on the basis of skeletonization. In this method different parameters have been used and these are the performance evaluation of proposed technique in comparison with existing algorithms such as execution time, thinning rate, number of connected components, PSNR, MSE etc.
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