VOTING BASED IMAGE BINARIZATION

Costin-Anton Boiangiu (), Mihai Simion (), Vlad Lionte () and Zaharescu Mihai ()
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Costin-Anton Boiangiu: "Politehnica" University of Bucharest, 060042 Bucharest, Romania
Mihai Simion: "Politehnica" University of Bucharest, 060042 Bucharest, Romania
Vlad Lionte: "Politehnica" University of Bucharest, 060042 Bucharest, Romania
Zaharescu Mihai: "Politehnica" University of Bucharest, 060042 Bucharest, Romania

Journal of Information Systems & Operations Management, 2014, vol. 8, issue 2, 343-351

Abstract: In the literature there are a wide variety of algorithms for image binarization, the difference between them being the method that identifies the pixel threshold value. They can be split into two classes: algorithms that use a single threshold for the entire image (and tend to identify a few large objects) and algorithms that do the processing in localities (and tend to identify many small items).

Keywords: binarization; voting; black and white conversion; image interpretation (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:8:y:2014:i:2:p:343-351

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