TY  - JOUR
AV  - none
N2  - 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.
N1  - cited By 0
IS  - 5
TI  - Segmentation of acne vulgaris lesion based on spectral models of RGB pixels
ID  - scholars3653
SP  - 1463
Y1  - 2013///
SN  - 19366612
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876829970&doi=10.1166%2fasl.2013.4471&partnerID=40&md5=2e37e7ca58f21ca380617462d0385651
A1  - Humayun, J.
A1  - Malik, A.S.
A1  - Kamel, N.
A1  - Yap, F.B.B.
JF  - Advanced Science Letters
VL  - 19
EP  - 1466
ER  -