Toward a generic evaluation of image segmentation

• Type: Article in International Scientific Journal
• Date: 2005

Authors

Cardoso, JS (Author) FCUP; Corte Real, L (Author) FEUP

Journal

Title: IEEE Transactions on Image Processing

Vol. 14 No. 11

Pages: 1773-1782

ISSN: 1057-7149

Publisher: IEEE

Indexing

ISI Web of Knowledge - 121 Citations

Scopus - 151 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Technology > Computer technology > Image processing

Other information

Authenticus ID: P-000-0PJ

DOI: 10.1109/tip.2005.854491

Abstract (EN): Image segmentation plays a major role in a broad range of applications. Evaluating the adequacy of a segmentation algorithm for a given application is a requisite both to allow the appropriate selection of segmentation algorithms as well as to tune their parameters for optimal performance. However, objective segmentation quality evaluation is far from being a solved problem. In this paper, a generic framework for segmentation evaluation is introduced after a brief review of previous work. A metric based on the distance between segmentation partitions is proposed to overcome some of the limitations of existing approaches. Symmetric and asymmetric distance metric alternatives are presented to meet the specificities of a wide class of applications. Experimental results confirm the potential of the proposed measures.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10