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http://dx.doi.org/10.5391/JKIIS.2011.21.5.543

Image Thresholding based on the Entropy Using Variance of the Gray Levels  

Kwon, Soon-H. (영남대학교 전기공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.21, no.5, 2011 , pp. 543-548 More about this Journal
Abstract
Entropy measuring the richness in details of the image is generally obtained by using the histogram of gray levels in an image, and has been widely used as an index for thresholding of the image. In this paper, we propose an entropy-based thresholding method, where the entropy is obtained not by the histogram but by the variance of the gray levels, to binalize a given image. The effectiveness of the proposed method is demonstrated by thresholding experiments on nine test images and comparison with conventional two thresholding methods, that is, Otsu method and entropy-based method using the histogram.
Keywords
Image thresholding; Histogram; Variance; Entropy;
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Times Cited By KSCI : 2  (Citation Analysis)
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