Research Article

To Enhancement in Zang and Sang Thinning Algorithm to Improve Thinning Rate using Fuzzy Logic

by  Ravaljodh Singh, Lalita Bhutani
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 150 - Issue 11
Published: Sep 2016
Authors: Ravaljodh Singh, Lalita Bhutani
10.5120/ijca2016911492
PDF

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 

                        @article{ 10.5120/ijca2016911492,
                        author  = { Ravaljodh Singh,Lalita Bhutani },
                        title   = { To Enhancement in Zang and Sang Thinning Algorithm to Improve Thinning Rate using Fuzzy Logic },
                        journal = { International Journal of Computer Applications },
                        year    = { 2016 },
                        volume  = { 150 },
                        number  = { 11 },
                        pages   = { 1-6 },
                        doi     = { 10.5120/ijca2016911492 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2016
                        %A Ravaljodh Singh
                        %A Lalita Bhutani
                        %T To Enhancement in Zang and Sang Thinning Algorithm to Improve Thinning Rate using Fuzzy Logic%T 
                        %J International Journal of Computer Applications
                        %V 150
                        %N 11
                        %P 1-6
                        %R 10.5120/ijca2016911492
                        %I Foundation of Computer Science (FCS), NY, USA
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.

References
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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Skeletonization Thinning of the image PSNR and MSE.

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