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ICIP
2006
IEEE

New Results on Efficient Optimal Multilevel Image Thresholding

15 years 1 months ago
New Results on Efficient Optimal Multilevel Image Thresholding
Image thresholding is one of the most common image processing operations, since almost all image processing schemes need some sort of separation of the pixels into different classes. In order to find the thresholds, almost all methods analyze the histogram of the image. In most cases, the optimal thresholds are found by either minimazing or maximazing an objective function, which depends on the positions of the thresholds. We identify two classes of objective functions for which the optimal thresholds can be found by algorithms with low time complexity. We show, that for example the method proposed by Otsu [1] and other well known methods have objective functions belonging to these classes. By implementing the algorithms in ANSI C and comparing their execution times, we can make a quantitative statement about their performance.
Martin Luessi, Marco Eichmann, Guido M. Schuster,
Added 22 Oct 2009
Updated 22 Oct 2009
Type Conference
Year 2006
Where ICIP
Authors Martin Luessi, Marco Eichmann, Guido M. Schuster, Aggelos K. Katsaggelos
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