Digital assessment of facial acne vulgaris

Acne affects 85 of adolescents at some time during their lives. Dermatologists use manual methods such as direct visual assessment and ordinary flash photography to assess the acne. However, these manual methods are time consuming and may result in intra-observer and inter-observer variations, even...

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Main Authors: Malik, A.S., Ramli, R., Hani, A.F.M., Salih, Y., Yap, F.B.-B., Nisar, H.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.32192 /
Published: Institute of Electrical and Electronics Engineers Inc. 2014
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905717229&doi=10.1109%2fI2MTC.2014.6860804&partnerID=40&md5=a0c1a386a45c07a6503f749b888e2a9a
http://eprints.utp.edu.my/32192/
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id utp-eprints.32192
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spelling utp-eprints.321922022-03-29T05:01:10Z Digital assessment of facial acne vulgaris Malik, A.S. Ramli, R. Hani, A.F.M. Salih, Y. Yap, F.B.-B. Nisar, H. Acne affects 85 of adolescents at some time during their lives. Dermatologists use manual methods such as direct visual assessment and ordinary flash photography to assess the acne. However, these manual methods are time consuming and may result in intra-observer and inter-observer variations, even by experienced dermatologists. The objective of this research is to develop a computational imaging method for automated acne grading. The first step in the proposed method is pre-processing which involves lighting compensation. The CIE La b* color space is used to measure any dissimilarity between skin colors. Acne segmentation has been performed using automated modified K-means clustering algorithm and support vector machines (SVM) classifier. Color and diameter are the main features extracted to classify acne blobs into different acne classes; papule, pustule, nodule or cyst. Finally, the severity level is determined such as mild, moderate, severe and very severe. © 2014 IEEE. Institute of Electrical and Electronics Engineers Inc. 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905717229&doi=10.1109%2fI2MTC.2014.6860804&partnerID=40&md5=a0c1a386a45c07a6503f749b888e2a9a Malik, A.S. and Ramli, R. and Hani, A.F.M. and Salih, Y. and Yap, F.B.-B. and Nisar, H. (2014) Digital assessment of facial acne vulgaris. In: UNSPECIFIED. http://eprints.utp.edu.my/32192/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Acne affects 85 of adolescents at some time during their lives. Dermatologists use manual methods such as direct visual assessment and ordinary flash photography to assess the acne. However, these manual methods are time consuming and may result in intra-observer and inter-observer variations, even by experienced dermatologists. The objective of this research is to develop a computational imaging method for automated acne grading. The first step in the proposed method is pre-processing which involves lighting compensation. The CIE La b* color space is used to measure any dissimilarity between skin colors. Acne segmentation has been performed using automated modified K-means clustering algorithm and support vector machines (SVM) classifier. Color and diameter are the main features extracted to classify acne blobs into different acne classes; papule, pustule, nodule or cyst. Finally, the severity level is determined such as mild, moderate, severe and very severe. © 2014 IEEE.
format Conference or Workshop Item
author Malik, A.S.
Ramli, R.
Hani, A.F.M.
Salih, Y.
Yap, F.B.-B.
Nisar, H.
spellingShingle Malik, A.S.
Ramli, R.
Hani, A.F.M.
Salih, Y.
Yap, F.B.-B.
Nisar, H.
Digital assessment of facial acne vulgaris
author_sort Malik, A.S.
title Digital assessment of facial acne vulgaris
title_short Digital assessment of facial acne vulgaris
title_full Digital assessment of facial acne vulgaris
title_fullStr Digital assessment of facial acne vulgaris
title_full_unstemmed Digital assessment of facial acne vulgaris
title_sort digital assessment of facial acne vulgaris
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905717229&doi=10.1109%2fI2MTC.2014.6860804&partnerID=40&md5=a0c1a386a45c07a6503f749b888e2a9a
http://eprints.utp.edu.my/32192/
_version_ 1741197699339780096
score 11.62408

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