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ITK Implementation Of The Minimum Error Image Thresholding Algorithm

Al-Kofahi, Yousef
CompuCyte Corporation
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/1506
New: Prefer using the following doi: https://doi.org/10.54294/mxk35j
Published in The Insight Journal - 2008 July - December.
Submitted by Yousef Al-kofahi on 2008-12-03 19:59:24.

An implementation of the minimum error thresholding algorithm is presented. In this implementation, two versions of the minimum error thresholding algorithm are made available, one utilizing a Gaussian- and the other utilizing a Poisson- mixture model. Two ITK classes are created: The first one (MinErrorThresholdImageCalculator) is used to compute the threshold; the second (MinErrorThresholdImageFilter) is used as an image-thresholding filter. The results indicate code correctness and are comparable to those of Otsu’s thresholding algorithm.