TY - CONF AV - none CY - Lyon KW - Image processing; Patient monitoring; Principal component analysis KW - Digital image analysis; Repigmentation progress; Vitiligo treatment KW - Skin KW - algorithm; article; colorimetry; computer assisted diagnosis; disease course; epiluminescence microscopy; evaluation study; human; image enhancement; information retrieval; methodology; pathophysiology; prognosis; reproducibility; sensitivity and specificity; skin pigmentation; treatment outcome; vitiligo KW - Algorithms; Colorimetry; Dermoscopy; Disease Progression; Humans; Image Enhancement; Image Interpretation KW - Computer-Assisted; Information Storage and Retrieval; Prognosis; Reproducibility of Results; Sensitivity and Specificity; Skin Pigmentation; Treatment Outcome; Vitiligo SP - 3442 ID - scholars197 TI - Determination of skin repigmentation progression N2 - In this paper, we describe an image processing scheme to analyze and determine areas of skin that have undergone repigmentation in particular, during the treatment of vitiligo. In vitiligo cases, areas of skin become pale or white due to the lack of skin pigment called melanin. Vitiligo treatment causes skin repigmentation resulting in a normal skin color. However, it is difficult to determine and quantify the amount of repigmentation visually during treatment because the repigmentation progress is slow and moreover changes in skin color can only be discerned over a longer time frame typically 6 months. Here, we develop a digital image analysis scheme that can identify and determine vitiligo skin areas and repigmentation progression on a shorter time period. The technique is based on principal component analysis and independent component analysis which converts the RGB skin image into a skin image that represent skin areas due to melanin and haemoglobin only, followed by segmentation process. Vitiligo skin lesions are identified as skin areas that lack melanin (non-melanin areas). In the initial studies of 4 patients, the method has been able to quantify repigmentation in vitiligo lesion. Hence it is now possible to determine repigmentation progression objectively and treatment efficacy on a shorter time cycle. © 2007 IEEE. N1 - cited By 25; Conference of 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 ; Conference Date: 23 August 2007 Through 26 August 2007; Conference Code:70818 SN - 05891019 Y1 - 2007/// EP - 3445 UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-57649199219&doi=10.1109%2fIEMBS.2007.4353071&partnerID=40&md5=6f0ef4c5d606b3c7ac4285a530b3e401 A1 - Nugroho, H. A1 - Ahmad Fadzil, M.H. A1 - Yap, V.V. A1 - Norashikin, S. A1 - Suraiya, H.H. ER -