Segmentation of acne lesions using K-means clustering

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Main Authors: Ramli, Roshaslinie, Malik, Aamir Saeed, Fadzil, A. F. M., Yap, Felix
Format: Article
Published: Springer 2011
Subjects:
Online Access:http://eprints.utp.edu.my/8494/1/2012-APESM-Roshaslinie.pdf
http://www.springer.com/biomed/journal/13246
http://eprints.utp.edu.my/8494/
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Institution: Universiti Teknologi Petronas
id my.utp.eprints.8494
record_format eprints
spelling my.utp.eprints.84942017-01-19T08:22:12Z Segmentation of acne lesions using K-means clustering Ramli, Roshaslinie Malik, Aamir Saeed Fadzil, A. F. M. Yap, Felix R Medicine (General) TK Electrical engineering. Electronics Nuclear engineering Springer 2011-12-01 Article PeerReviewed application/pdf http://eprints.utp.edu.my/8494/1/2012-APESM-Roshaslinie.pdf http://www.springer.com/biomed/journal/13246 Ramli, Roshaslinie and Malik, Aamir Saeed and Fadzil, A. F. M. and Yap, Felix (2011) Segmentation of acne lesions using K-means clustering. Australasian Physical and Engineering Sciences in Medicine, 34 (4). p. 592. ISSN 1879-5447 http://eprints.utp.edu.my/8494/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic R Medicine (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle R Medicine (General)
TK Electrical engineering. Electronics Nuclear engineering
Ramli, Roshaslinie
Malik, Aamir Saeed
Fadzil, A. F. M.
Yap, Felix
Segmentation of acne lesions using K-means clustering
format Article
author Ramli, Roshaslinie
Malik, Aamir Saeed
Fadzil, A. F. M.
Yap, Felix
author_facet Ramli, Roshaslinie
Malik, Aamir Saeed
Fadzil, A. F. M.
Yap, Felix
author_sort Ramli, Roshaslinie
title Segmentation of acne lesions using K-means clustering
title_short Segmentation of acne lesions using K-means clustering
title_full Segmentation of acne lesions using K-means clustering
title_fullStr Segmentation of acne lesions using K-means clustering
title_full_unstemmed Segmentation of acne lesions using K-means clustering
title_sort segmentation of acne lesions using k-means clustering
publisher Springer
publishDate 2011
url http://eprints.utp.edu.my/8494/1/2012-APESM-Roshaslinie.pdf
http://www.springer.com/biomed/journal/13246
http://eprints.utp.edu.my/8494/
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