Multi-Scale Skin Sample Approach for Dynamic Skin Color Detection: An Analysis

Skin detection is an important step in many computer vision applications. It has been employed in face detection, hand gesture recognition, illicit image filtering, steganography and content based image retrieval. This is due to the skin colour that attractive feature in detecting the skin in colour...

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Main Authors:	Mohd Zamri, Osman, Mohd Aizaini, Maarof, Mohd Foad, Rohani, Kohbalan, Moorthy, Suryanti, Awang
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/19995/ http://umpir.ump.edu.my/id/eprint/19995/ http://umpir.ump.edu.my/id/eprint/19995/ http://umpir.ump.edu.my/id/eprint/19995/1/Multi-Scale%20Skin%20Sample%20Approach%20for%20Dynamic.pdf

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recordtype	eprints
spelling	ump-199952018-11-22T04:46:43Z http://umpir.ump.edu.my/id/eprint/19995/ Multi-Scale Skin Sample Approach for Dynamic Skin Color Detection: An Analysis Mohd Zamri, Osman Mohd Aizaini, Maarof Mohd Foad, Rohani Kohbalan, Moorthy Suryanti, Awang QA76 Computer software Skin detection is an important step in many computer vision applications. It has been employed in face detection, hand gesture recognition, illicit image filtering, steganography and content based image retrieval. This is due to the skin colour that attractive feature in detecting the skin in coloured image. In contrast, skin colour detection suffers in low accuracy due to colour properties between the real skin surface and the skin-like objects. Therefore, this paper proposes a dynamic skin colour detection using multi-scales online skin sampling approach. This dynamic skin colour detection involved two procedures for generating the dynamic threshold in colour spaces. Moreover, six colour spaces have been studied to find the best colour models for our proposed method. The first procedure is the online skin sampling that obtained directly from the face candidates to generate the dynamic threshold values of each studied colour spaces. Alongside with the first procedure, we obtained optimal scale for skin sample with 0.25, 0.2 reduction, Meanwhile, the second procedure known as skin pixel classification uses the dynamic threshold obtained from the first procedure to classify the skin in the image. We achieved a satisfactory result in term of precision, recall, accuracy and F1. The experimental result shows that the proposed dynamic skin colour detection achieved good performance via American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19995/1/Multi-Scale%20Skin%20Sample%20Approach%20for%20Dynamic.pdf Mohd Zamri, Osman and Mohd Aizaini, Maarof and Mohd Foad, Rohani and Kohbalan, Moorthy and Suryanti, Awang (2018) Multi-Scale Skin Sample Approach for Dynamic Skin Color Detection: An Analysis. Advanced Science Letters, 24 (10). pp. 7662-7667. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.12996 doi: 10.1166/asl.2018.12996
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Mohd Zamri, Osman Mohd Aizaini, Maarof Mohd Foad, Rohani Kohbalan, Moorthy Suryanti, Awang Multi-Scale Skin Sample Approach for Dynamic Skin Color Detection: An Analysis
description	Skin detection is an important step in many computer vision applications. It has been employed in face detection, hand gesture recognition, illicit image filtering, steganography and content based image retrieval. This is due to the skin colour that attractive feature in detecting the skin in coloured image. In contrast, skin colour detection suffers in low accuracy due to colour properties between the real skin surface and the skin-like objects. Therefore, this paper proposes a dynamic skin colour detection using multi-scales online skin sampling approach. This dynamic skin colour detection involved two procedures for generating the dynamic threshold in colour spaces. Moreover, six colour spaces have been studied to find the best colour models for our proposed method. The first procedure is the online skin sampling that obtained directly from the face candidates to generate the dynamic threshold values of each studied colour spaces. Alongside with the first procedure, we obtained optimal scale for skin sample with 0.25, 0.2 reduction, Meanwhile, the second procedure known as skin pixel classification uses the dynamic threshold obtained from the first procedure to classify the skin in the image. We achieved a satisfactory result in term of precision, recall, accuracy and F1. The experimental result shows that the proposed dynamic skin colour detection achieved good performance via
format	Article
author	Mohd Zamri, Osman Mohd Aizaini, Maarof Mohd Foad, Rohani Kohbalan, Moorthy Suryanti, Awang
author_facet	Mohd Zamri, Osman Mohd Aizaini, Maarof Mohd Foad, Rohani Kohbalan, Moorthy Suryanti, Awang
author_sort	Mohd Zamri, Osman
title	Multi-Scale Skin Sample Approach for Dynamic Skin Color Detection: An Analysis
title_short	Multi-Scale Skin Sample Approach for Dynamic Skin Color Detection: An Analysis
title_full	Multi-Scale Skin Sample Approach for Dynamic Skin Color Detection: An Analysis
title_fullStr	Multi-Scale Skin Sample Approach for Dynamic Skin Color Detection: An Analysis
title_full_unstemmed	Multi-Scale Skin Sample Approach for Dynamic Skin Color Detection: An Analysis
title_sort	multi-scale skin sample approach for dynamic skin color detection: an analysis
publisher	American Scientific Publisher
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/19995/ http://umpir.ump.edu.my/id/eprint/19995/ http://umpir.ump.edu.my/id/eprint/19995/ http://umpir.ump.edu.my/id/eprint/19995/1/Multi-Scale%20Skin%20Sample%20Approach%20for%20Dynamic.pdf
first_indexed	2023-09-18T22:28:39Z
last_indexed	2023-09-18T22:28:39Z
_version_	1777416137344024576

Multi-Scale Skin Sample Approach for Dynamic Skin Color Detection: An Analysis

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