Evaluation of Segmentation Techniques Using Region Size and Boundary Information

Authors:
D. P. Dogra;A. K. Majumdar;S. Sural
Affiliations:
Department of Computer Sc. & Engineering, Indian Institute of Technology, Kharagpur, India 721302;Department of Computer Sc. & Engineering, Indian Institute of Technology, Kharagpur, India 721302;School of Information Technology, Indian Institute of Technology, Kharagpur, India 721302
Venue:
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Year:
2009

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Abstract

Image segmentation quality evaluation is a key element when comparing segmentation algorithms. In computer vision, unsupervised segmentation algorithms, although of great interest, often suffer from lack of a well-defined measure to evaluate. This paper presents a novel idea for evaluating such algorithms. A measure is proposed to evaluate four well referred segmentation algorithms. The metric proposed in this work is composed of both size and boundary of segments. When compared with some of the existing techniques, it is found that the proposed scheme can approximate the segmentation error in a better way.