DocumentCode :
2108859
Title :
Psoriasis segmentation through chromatic regions and Geometric Active Contours
Author :
Bogo, Federica ; Samory, M. ; Fortina, A. Belloni ; Piaserico, S. ; Peserico, E.
Author_Institution :
Dip. Ing. Inf., Univ. Padova, Padua, Italy
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
5388
Lastpage :
5391
Abstract :
We present a novel approach to the segmentation of psoriasis lesions in “full body” digital photographs potentially involving dozens or even hundreds of separate lesions. Our algorithm first isolates a set of zones that certainly correspond to lesional plaques based on chromatic information, and then expands these zones to achieve an accurate segmentation of plaques through a Geometric Active Contours method. The variability in segmentation between our algorithm and different human operators appears comparable to the variability between human operators.
Keywords :
diseases; image segmentation; medical image processing; photography; Geometric Active Contours method; chromatic region; full body digital photograph; lesions; psoriasis segmentation; Active contours; Humans; Image color analysis; Image segmentation; Lesions; Robustness; Skin; Algorithms; Humans; Psoriasis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6347212
Filename :
6347212
Link To Document :
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