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Proceedings Paper

A novel edge-based criterion for determining the number of thresholds for multilevel image thresholding
Author(s): Nadim Jahangir; Chin-Kuan Ho; Junaidi Abdullah
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Paper Abstract

In order to determine the appropriate number of thresholds that a grey-level image should be thresholded by so that the resulting image preserves as much information as possible from the original image using the least possible bits, we propose in this paper, a novel criterion for multilevel image thresholding. The criterion is a weighted sum of within-class variance and the number of edge pixels in the thresholded image. To determine the appropriate number of thresholds, an image has to be thresholded iteratively with increasing number of thresholds by any standard thresholding method and the solution that minimizes the proposed criterion is chosen as the appropriate solution. We also present an efficient technique to compute the number of edge pixels. Experiments on a variety of real-world images show that the proposed criterion gives visually more consistent results compared to the most widely used automatic thresholding criterion proposed by Yen et al. (1995).

Paper Details

Date Published: 8 June 2012
PDF: 5 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83344M (8 June 2012); doi: 10.1117/12.976299
Show Author Affiliations
Nadim Jahangir, Multimedia Univ. (Malaysia)
Chin-Kuan Ho, Multimedia Univ. (Malaysia)
Junaidi Abdullah, Multimedia Univ. (Malaysia)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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