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
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;
Conference_Titel :
Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on
Conference_Location :
Bari
Print_ISBN :
978-1-4244-9336-4
DOI :
10.1109/MeMeA.2011.5966741