DocumentCode
2488123
Title
Adaptive segmentation of gray areas in dermoscopy images
Author
Sforza, Gianluca ; Castellano, Giovanna ; Stanley, R. Joe ; Stoecker, William V. ; Hagerty, Jason
Author_Institution
Comput. Sci. Dept., Univ. degli Studi Aldo Moro, Bari, Italy
fYear
2011
fDate
30-31 May 2011
Firstpage
628
Lastpage
631
Abstract
In this work, a dermoscopic image analysis technique is proposed. A novel approach, based on the detection of gray areas using image analysis techniques is explored. To this aim, a statistical histogram analysis is carried out using the HSB color space to derive the relationship between the skewness and the mean of the brightness color plane histogram. The derived framework is used for adaptive thresholding of gray area regions within a skin lesion image.
Keywords
biomedical optical imaging; image segmentation; medical image processing; skin; HSB color space; adaptive segmentation; brightness color plane histogram; dermoscopy images; gray area segmentation; skin lesion image; statistical histogram analysis; Brightness; Histograms; Image color analysis; Image segmentation; Lesions; Malignant tumors; Skin; medical imaging; melanoma; segmentation; skewed histogram; skin lesion detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on
Conference_Location
Bari
Print_ISBN
978-1-4244-9336-4
Type
conf
DOI
10.1109/MeMeA.2011.5966741
Filename
5966741
Link To Document