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http://dx.doi.org/10.5573/ieek.2013.50.7.216

Image Thresholding Based on Within-Class Standard Deviation  

Sung, Jung-Min (School of Electronics Engineering, Kyungpook national university)
Ha, Ho-Gun (School of Electronics Engineering, Kyungpook national university)
Choi, Bong-Yeol (School of Electronics Engineering, Kyungpook national university)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.50, no.7, 2013 , pp. 216-224 More about this Journal
Abstract
The within-class variance of Otsu's method is moderate but improper in expressing class statistical distributions. Otsu's method uses a variance to represent the distribution of each class. The variance utilizes a distance square from the mean to a data. This process is not proper in denoting a real class statistical distribution because of the distance square. In this paper, to express more exact class statistical distributions, the within-class standard deviation as a criterion for threshold selection is proposed and then the optimal threshold is determined by minimizing it. In order to have validity, it is shown through the experimental results that the proposed method was more superior to the counterparts.
Keywords
영상 분할;스레쉬홀딩;Otsu 방법;표준편차;
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