eprintid: 3653
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/36/53
datestamp: 2023-11-09 15:51:55
lastmod: 2023-11-09 15:51:55
status_changed: 2023-11-09 15:47:19
type: article
metadata_visibility: show
creators_name: Humayun, J.
creators_name: Malik, A.S.
creators_name: Kamel, N.
creators_name: Yap, F.B.B.
title: Segmentation of acne vulgaris lesion based on spectral models of RGB pixels
ispublished: pub
note: cited By 0
abstract: A novel segmentation algorithm has been developed for acne vulgaris lesion. Instead of applying conventional color-spaces, mapping of RGB color pixels to visible electromagnetic spectrum is performed as it provides finer discrimination between shades of red brown and purple. RGB color of the image is approximately mapped to the equivalent visible spectrum from 380 nm to 720 nm with the steps of 1 nm. Average spectral models for different class of colors are first selected from various images. The algorithm classifies the lesion and non-lesion pixels based on Mahalanobis distance from the spectral models. Candidate pixel is labeled as an entity whose spectral model is least distant. © 2013 American Scientific Publishers All rights reserved. All rights reserved.
date: 2013
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876829970&doi=10.1166%2fasl.2013.4471&partnerID=40&md5=2e37e7ca58f21ca380617462d0385651
id_number: 10.1166/asl.2013.4471
full_text_status: none
publication: Advanced Science Letters
volume: 19
number: 5
pagerange: 1463-1466
refereed: TRUE
issn: 19366612
citation:   Humayun, J. and Malik, A.S. and Kamel, N. and Yap, F.B.B.  (2013) Segmentation of acne vulgaris lesion based on spectral models of RGB pixels.  Advanced Science Letters, 19 (5).  pp. 1463-1466.  ISSN 19366612