eprintid: 518
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/05/18
datestamp: 2023-11-09 15:48:39
lastmod: 2023-11-09 15:48:39
status_changed: 2023-11-09 15:22:39
type: conference_item
metadata_visibility: show
creators_name: Hani, A.F.M.
creators_name: Nugroho, H.
creators_name: Prakasa, E.
creators_name: Fitriyah, H.
creators_name: Affandi, A.M.
creators_name: Hussein, S.H.
title: 3D-based skin roughness measurement for lesion classification
ispublished: pub
keywords: 3-D image; 3D surface; Clinical experience; Descriptors; Height map; Lesion classification; Objective assessment; Skin lesion; Skin surfaces; Tactile characteristics, Damage detection; Dermatology; Industrial electronics; Mean square error; Surface properties; Surface roughness; Two dimensional, Three dimensional
note: cited By 0; Conference of 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 ; Conference Date: 4 October 2009 Through 6 October 2009; Conference Code:79286
abstract: Skin surface roughness can be changed due to skin lesion progression. The evaluation of the damage of the skin is assessed on the base of clinical experience of dermatologists. Currently, the assessment of skin surface is made by running a finger across the skin. It is found that this tactile evaluation may result in inter and intra variations. The objective of our research is to develop an objective assessment tool in evaluation skin roughness. Psoriasis is used as a sample of skin lesion that can change skin surface roughness as its extents develop. 3D surface images of 120 psoriasis lesions scanned from 29 patients are analysed in the study. The lesions are previously grouped into four categorises based on its tactile characteristics by dermatologists. The proposed method converts the 3D images into 2D height maps. The 2D height maps are then fitted and filtered using averaging filter. Finally, Mean Square Error (MSE) between the fitted and filtered 2D height maps are computed and utilized as skin roughness descriptors. Results show that the proposed method has been able to differentiate each lesion according to its group perfectly. © 2009 IEEE.
date: 2009
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-76449114845&doi=10.1109%2fISIEA.2009.5356494&partnerID=40&md5=0003032cbb1dedd9ed9d6288fa9d5356
id_number: 10.1109/ISIEA.2009.5356494
full_text_status: none
publication: 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings
volume: 1
place_of_pub: Kuala Lumpur
pagerange: 15-19
refereed: TRUE
isbn: 9781424446827
citation:   Hani, A.F.M. and Nugroho, H. and Prakasa, E. and Fitriyah, H. and Affandi, A.M. and Hussein, S.H.  (2009) 3D-based skin roughness measurement for lesion classification.  In: UNSPECIFIED.