A Wide Spread of Algorithms for Automatic Segmentation of Dermoscopic Images

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Ferreira, PM (Author) Other; Mendonca, T (Author) FCUP; Rocha, P (Author) FEUP

Conference proceedings International

Title: PATTERN RECOGNITION AND IMAGE ANALYSIS, IBPRIA 2013

Pages: 691-698

6th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)

Funchal, PORTUGAL, JUN 05-07, 2013

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 7 Citations

Other information

Authenticus ID: P-008-DFY

DOI: 10.1007/978-3-642-38628-2_70

Abstract (EN): Currently, there is a great interest in the development of computer-aided diagnosis (CAD) systems for dermoscopic images. The segmentation step is one of the most important ones, since its accuracy determines the eventual success or failure of a CAD system. In this paper, different kinds of algorithms for the automatic segmentation of skin lesions in dermoscopic images were implemented and evaluated, namely automatic thresholding, k-means, mean-shift, region growing, gradient vector flow (GVF), and watershed. The segmentation methods were evaluated with three distinct metrics, using as ground truth a database of 50 images manually segmented by an expert dermatologist. Among the implemented segmentation approaches, the GVF snake method achieved the best segmentation performance.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8