{"version":1,"kind":"Article","sha256":"","slug":"308","location":"","dependencies":[],"doi":"10.54294/mxk35j","frontmatter":{"title":"ITK Implementation Of The Minimum Error Image Thresholding Algorithm","abstract":"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.","license":"You are licensing your work to Kitware Inc. under the\nCreative Commons Attribution License Version 3.0.\n\nKitware Inc. agrees to the following:\n\nKitware is free\n * to copy, distribute, display, and perform the work\n * to make derivative works\n * to make commercial use of the work\n\nUnder the following conditions:\n\\\"by Attribution\\\" - Kitware must attribute the work in the manner specified by the author or licensor.\n\n * For any reuse or distribution, they must make clear to others the license terms of this work.\n * Any of these conditions can be waived if they get permission from the copyright holder.\n\nYour fair use and other rights are in no way affected by the above.\n\nThis is a human-readable summary of the Legal Code (the full license) available at\nhttp://creativecommons.org/licenses/by/3.0/legalcode","keywords":["Minimum error thresholding","Otsu thresholding"],"authors":[{"name":"Al-Kofahi, Yousef","email":"yousef.kofahi@gmail.com","affiliations":["CompuCyte Corporation"],"corresponding":true}],"date_submitted":"2008-12-03 19:59:24","external_publication_id":308,"revision_cids":["bafkreib66426ys3cq67q7dm7njisf6gepx5qp37nkoogpmiyeep5ogpday"],"github":"https://github.com/midas-journal/midas-journal-308.git"},"mdast":{"type":"root"},"downloads":[{"url":"https://pub.desci.com/ipfs/bafkreidxfoje576ydg3rz6gvoetjsvktquiphtojxusmazz5tgdmyngnle","title":"root/code/src/CMakeLists.txt","filename":"CMakeLists.txt","extra":{"size_bytes":1029,"type":"file"}},{"url":"https://pub.desci.com/ipfs/bafkreicpjkaglju2lkndnrqpybal2h6qtwmti3joy2offbcwcckz6mg5pi","title":"root/code/src/Test_Image_2D.tif","filename":"Test_Image_2D.tif","extra":{"size_bytes":90294,"type":"file"}},{"url":"https://pub.desci.com/ipfs/bafkreicup6et4dea3wjrhhnhygqq2zcj76gvnz2nps4b7rpo7adpvqn2zy","title":"root/code/src/Test_Image_3D.pic","filename":"Test_Image_3D.pic","extra":{"size_bytes":675076,"type":"file"}},{"url":"https://pub.desci.com/ipfs/bafkreifidjiihumfkc6kfsfxz4uuskr4rkbx2dfxcc2mjxoctz7htnjjsa","title":"root/code/src/itkMinErrorThresholdImageCalculator.h","filename":"itkMinErrorThresholdImageCalculator.h","extra":{"size_bytes":4812,"type":"file"}},{"url":"https://pub.desci.com/ipfs/bafkreihmlxbfvfy7xchfd2gfg7wt3jq5ctkyvatdaiaojou6mmrk2c2yii","title":"root/code/src/itkMinErrorThresholdImageCalculator.txx","filename":"itkMinErrorThresholdImageCalculator.txx","extra":{"size_bytes":8545,"type":"file"}},{"url":"https://pub.desci.com/ipfs/bafkreiaqq7rqeede4arr3x36ozambwdz22du5giz3qsyiimnzxm6gsxyfe","title":"root/code/src/itkMinErrorThresholdImageFilter.h","filename":"itkMinErrorThresholdImageFilter.h","extra":{"size_bytes":5502,"type":"file"}},{"url":"https://pub.desci.com/ipfs/bafkreig6tdllqaacf35oyx2k7mgdeu6hekf2cjjvlne6pmp53tsqxlavwm","title":"root/code/src/itkMinErrorThresholdImageFilter.txx","filename":"itkMinErrorThresholdImageFilter.txx","extra":{"size_bytes":4388,"type":"file"}},{"url":"https://pub.desci.com/ipfs/bafkreiafukhvcyc7gy375ngm5b73gd73w5aldstriaso6crr53dlrkgzgu","title":"root/code/src/itkMinErrorThresholdImageFilterTest.cxx","filename":"itkMinErrorThresholdImageFilterTest.cxx","extra":{"size_bytes":3258,"type":"file"}},{"url":"https://ipfs.desci.com/ipfs/bafkreig7rawahbqcbuh3m5shb7dcg2t3dt3ke2asshp624x7gcmha6rhha","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":3488,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreigvisxr3oa67jbeqtkndyjqwzaslrkhyqkf7gpnn4e6p5pgm3ydey","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":162042,"type":"file"}}],"references":{"cite":{"order":["ref1","ref2"]},"data":{"ref1":{"label":"ref1","enumerator":"1","url":"https://doi.org/10.1142/s0218001491000260","html":"Image model, Poisson distribution and object extraction+International Journal of Pattern Recognition Artificial Intelligence+5+439+483+1991+Mehmet Sezgin+Bulent Sankur+J. Kittler+J. Illingworth+J.C. Dainty+R. Image Show+Science+N.R. Pal+S.K. Pal"},"ref2":{"label":"ref2","enumerator":"2","url":"https://doi.org/10.1109/tsmc.1979.4310076","html":"A threshold selection method from gray level histograms+IEEE Transactions on Systems, Man and Cybernetics+9+1+62+66+1979+N. Otsu"}}}}