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HYBRID ANN AND FIREWORKS ALGORITHM FOR REAL-TIME SOFTWARE RELIABILITY PREDICTION

Ivy Botchway Felix Larbi Aryeh Boniface Kayode Alese
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A Novel Threshold Technique and Fuzzy C-Means Algorithm for Segmentation of Wound

by Sirisha Konakala, Sudhakar Putheti
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 84 - Number 7
Year of Publication: 2013
Authors: Sirisha Konakala, Sudhakar Putheti
10.5120/14587-2822

Sirisha Konakala, Sudhakar Putheti . A Novel Threshold Technique and Fuzzy C-Means Algorithm for Segmentation of Wound. International Journal of Computer Applications. 84, 7 ( December 2013), 12-14. DOI=10.5120/14587-2822

@article{ 10.5120/14587-2822,
author = { Sirisha Konakala, Sudhakar Putheti },
title = { A Novel Threshold Technique and Fuzzy C-Means Algorithm for Segmentation of Wound },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 84 },
number = { 7 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 12-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume84/number7/14587-2822/ },
doi = { 10.5120/14587-2822 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:00:17.967063+05:30
%A Sirisha Konakala
%A Sudhakar Putheti
%T A Novel Threshold Technique and Fuzzy C-Means Algorithm for Segmentation of Wound
%J International Journal of Computer Applications
%@ 0975-8887
%V 84
%N 7
%P 12-14
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Skin color based wound region segmentation is proposed by using threshold segmentation and fuzzy-C means techniques. This letter gives wound on skin location should be precisely identified. These methods are identified the edge regions of the wound part that can help clinicians in their diagnosis. This letter describes the use of threshold values and FCM clustering algorithms for detection of wounds on the skin. In this letter This paper presents the application of fuzzy C-means clustering algorithm for skin color segmentation problem. This proposed method is able to take both the distributions of color space and the spatial interaction between surrounding pixels during clustering. This clustering algorithm have more advantages the result obtained from different wound images have been discussed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Skin Color segmentation Wound Detection FCM.

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