relation: https://khub.utp.edu.my/scholars/1686/
title: Identification of acne lesions, scars and normal skin for acne vulgaris cases
creator: Ramli, R.
creator: Malik, A.S.
creator: Hani, A.F.M.
creator: Yap, F.B.-B.
description: Acne affects 85 of adolescents at some time during their lives. There are various causes for acne including genetic, hormonal, sebaceous activity, bacteria, climate, chemical and psychological. Till now, dermatologists use manual methods such as direct visual assessment and ordinary flash photography to assess the acne. These methods are very time consuming and tedious. To address these issues, researchers in recent years have proposed computational imaging methods for aiding in the acne diagnosis. This paper proposes an algorithm to identify acne lesions, scars and normal skin features from photographs taken by Digital Single-Lens Reflex (DSLR) cameras. The images are converted from RGB to CIELAB color space, thresholded to three clusters and segmented using minimum Euclidean distance. The segmentation results from randomly selected images show sensitivity and specificity of greater than 80. © 2011 IEEE.
date: 2011
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Ramli, R. and Malik, A.S. and Hani, A.F.M. and Yap, F.B.-B.  (2011) Identification of acne lesions, scars and normal skin for acne vulgaris cases.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857074377&doi=10.1109%2fNatPC.2011.6136340&partnerID=40&md5=3512271908f6028b2693d2d9f44effc1
relation: 10.1109/NatPC.2011.6136340
identifier: 10.1109/NatPC.2011.6136340