eprintid: 1722
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/17/22
datestamp: 2023-11-09 15:49:53
lastmod: 2023-11-09 15:49:53
status_changed: 2023-11-09 15:41:13
type: conference_item
metadata_visibility: show
creators_name: Huamyun, J.
creators_name: Malik, A.S.
title: Multispectral and thermal images for acne vulgaris classification
ispublished: pub
keywords: Acne vulgaris; Color CCD; Multi-spectral; Multispectral imaging; Sensor technologies; Thermal images, Classification (of information); Infrared imaging; Sustainable development, Sensors
note: cited By 4; Conference of 3rd National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds, NPC 2011 ; Conference Date: 19 September 2011 Through 20 September 2011; Conference Code:88531
abstract: While measuring the severity of acne vulgaris, it is necessary to classify the lesion types. The classification of these lesions is done by differentiating between the features of each acne lesion. All of these features are not noticeable through RGB color CCD sensor. In this report, we propose that with the use of additional sensor technology, those features may become evident, i.e. Multispectral and thermal images. We have also discussed our hypothesis about the use multispectral and thermal images in this scenario and have supported our points based on literature. © 2011 IEEE.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857068453&doi=10.1109%2fNatPC.2011.6136336&partnerID=40&md5=c93b9200f0690e369019c35218c64e94
id_number: 10.1109/NatPC.2011.6136336
full_text_status: none
publication: 2011 National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds, NPC 2011
place_of_pub: Perak
refereed: TRUE
isbn: 9781457718847
citation:   Huamyun, J. and Malik, A.S.  (2011) Multispectral and thermal images for acne vulgaris classification.  In: UNSPECIFIED.