Distance Measures for Image Segmentation Evaluation

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

monteiro, fc (Author) Other; monteiro, fc (Author) Other; campilho, ac (Author) FEUP

Conference proceedings International

Title: NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2012), VOLS A AND B

Pages: 794-797

International Conference of Numerical Analysis and Applied Mathematics (ICNAAM)

Kos, GREECE, SEP 19-25, 2012

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 2 Citations

Other information

Authenticus ID: P-002-EXC

DOI: 10.1063/1.4756257

Abstract (EN): In this paper we present a study of evaluation measures that enable the quantification of the quality of an image segmentation result. Despite significant advances in image segmentation techniques, evaluation of these techniques thus far has been largely subjective. Typically, the effectiveness of a new algorithm is demonstrated only by the presentation of a few segmented images and is otherwise left to subjective evaluation by the reader. Such an evaluation criterion can be useful for different applications: the comparison of segmentation results, the automatic choice of the best fitted parameters of a segmentation method for a given image, or the definition of new segmentation methods by optimization. We first present the state of art of distance evaluation measures, and then, we compare several evaluation criteria.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4