Evaluation of Image Segmentation Techniques


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 2, No. 4, pp. 524-534, Jul. 1995
10.3745/KIPSTE.1995.2.4.524,   PDF Download:

Abstract

Image segmentation is a process of partitioning of an image into different regions that have similar properties. It is an old and difficult problem. They have developed many image segmentation systems and have studied to evaluate the existing segmentation systems. However, evaluation of image segmentation systems is very difficult in nature. In this paper, we propose the evaluation criteria that evaluate image segmentation systems automatically. In order to overcome the drawbacks of using only a single evaluation criterion, we have incorporated four evaluation criterea, that is, boundary difference, boundary consistency, region uniformity, and region difference. As the experimental results show, our evaluation criteria performs very well.


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Cite this article
[IEEE Style]
L. S. Ki and K. H. Sun, "Evaluation of Image Segmentation Techniques," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 2, no. 4, pp. 524-534, 1995. DOI: 10.3745/KIPSTE.1995.2.4.524.

[ACM Style]
Lee Sung Ki and Kim Hyo Sun. 1995. Evaluation of Image Segmentation Techniques. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 2, 4, (1995), 524-534. DOI: 10.3745/KIPSTE.1995.2.4.524.