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Merging Segmentation Capabilities of Independent Classifiers

by Sidra Gul, Laiq Hassan, Kashif Ahmad, Kamal Haider
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 78 - Number 3
Year of Publication: 2013
Authors: Sidra Gul, Laiq Hassan, Kashif Ahmad, Kamal Haider
10.5120/13468-0304

Sidra Gul, Laiq Hassan, Kashif Ahmad, Kamal Haider . Merging Segmentation Capabilities of Independent Classifiers. International Journal of Computer Applications. 78, 3 ( September 2013), 12-16. DOI=10.5120/13468-0304

@article{ 10.5120/13468-0304,
author = { Sidra Gul, Laiq Hassan, Kashif Ahmad, Kamal Haider },
title = { Merging Segmentation Capabilities of Independent Classifiers },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 78 },
number = { 3 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume78/number3/13468-0304/ },
doi = { 10.5120/13468-0304 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:50:38.842840+05:30
%A Sidra Gul
%A Laiq Hassan
%A Kashif Ahmad
%A Kamal Haider
%T Merging Segmentation Capabilities of Independent Classifiers
%J International Journal of Computer Applications
%@ 0975-8887
%V 78
%N 3
%P 12-16
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the modern era of computer and technology, images and videos play a vital role. Therefore, there is always a need for robust skin detection system in order to cope with the intolerable and objectionable contents. In this paper, an efficient method has been implemented for skin detection, which detects the skin in different images under different environmental conditions. We have used the two machine learning approaches i. e. Random Forests and Multilayer perceptron for skin detection. We have also then combined the results of these two approaches used. We have used total of 554 images in our experiments.

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Index Terms

Computer Science
Information Sciences

Keywords

Random Forests Multilayer Perceptron color spaces bitwise operators merging

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