Fast and accurate border detection in dermoscopy images using statistical region merging Conference Paper


Authors: Celebi, M. E.; Kingravi, H. A.; Lee, J.; Van Stoecker, W.; Malters, J. M.; Iyatomi, H.; Aslandogan, Y. A.; Moss, R.; Marghoob, A. A.
Editors: Pluim, J. P. W.; Reinhardt, J. M.
Title: Fast and accurate border detection in dermoscopy images using statistical region merging
Conference Title: Medical Imaging 2007: Image Processing
Abstract: As a result of advances in skin imaging technology and the development of suitable image processing techniques during the last decade, there has been a significant increase of interest in the computer-aided diagnosis of melanoma. Automated border detection is one of the most important steps in this procedure, since the accuracy of the subsequent steps crucially depends on it. In this paper, a fast and unsupervised approach to border detection in dermoscopy images of pigmented skin lesions based on the Statistical Region Merging algorithm is presented. The method is tested on a set of 90 dermoscopy images. The border detection error is quantified by a metric in which a set of dermatologist- determined borders is used as the ground-truth. The proposed method is compared to six state-of-the-art automated methods (optimized histogram thresholding, orientation-sensitive fuzzy c-means, gradient vector flow snakes, dermatologist-like tumor extraction algorithm, meanshift clustering, and the modified JSEG method) and borders determined by a second dermatologist. The results demonstrate that the presented method achieves both fast and accurate border detection in dermoscopy images.
Keywords: melanoma; dermoscopy; algorithms; segmentation; image processing; dermatology; optimization; imaging techniques; skin lesion; border detection; computer-aided diagnosis; statistical region merging; computer aided diagnosis; statistical methods
Journal Title Proceedings of SPIE
Volume: 6512
Conference Dates: 2007 Feb 18-20
Conference Location: San Diego, CA
ISBN: 0277-786X
Publisher: SPIE  
Date Published: 2007-01-01
Start Page: 65123V
Language: English
DOI: 10.1117/12.709073
PROVIDER: scopus
DOI/URL:
Notes: --- - Progress in Biomedical Optics and Imaging - Proceedings of SPIE - Progr. Biomed. Opt. Imaging Proc. SPIE - "Conference code: 70570" - "Article No. 65123V" - "Cited By (since 1996): 3" - "Export Date: 17 November 2011" - "Sponsors: SPIE" - 18 February 2007 through 20 February 2007 - "Source: Scopus"
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  1. Ashfaq A Marghoob
    534 Marghoob