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Reseach Article

Performance Comparison of ZS and GH Skeletonization Algorithms

by Ritika Luthra, Gulshan Goyal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 24
Year of Publication: 2015
Authors: Ritika Luthra, Gulshan Goyal
10.5120/21885-5138

Ritika Luthra, Gulshan Goyal . Performance Comparison of ZS and GH Skeletonization Algorithms. International Journal of Computer Applications. 121, 24 ( July 2015), 32-38. DOI=10.5120/21885-5138

@article{ 10.5120/21885-5138,
author = { Ritika Luthra, Gulshan Goyal },
title = { Performance Comparison of ZS and GH Skeletonization Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 24 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number24/21885-5138/ },
doi = { 10.5120/21885-5138 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:09:18.888381+05:30
%A Ritika Luthra
%A Gulshan Goyal
%T Performance Comparison of ZS and GH Skeletonization Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 24
%P 32-38
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Skeletonization is a crucial step in many digital image processing applications like medical imaging, pattern recognition, fingerprint classification etc. The skeleton expresses the structural connectivities of the main component of an object and is one pixel in width. Present paper covers the aspects of pixel deletion criteria in the skeletonization algorithms needed to preserve the connectivity, topology, sensitivity of the binary images. Performance of different skeletonization algorithms can be measured in terms of different parameters such as thinning rate, number of connected components, execution time etc. Present paper focuses on thinning rate, number of connected components, execution time on Zhang and Suen algorithm and Guo and Hall algorithm.

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Index Terms

Computer Science
Information Sciences

Keywords

Skeletonization Optical character Recognition ZS GH ZSM