A VOTING-BASED IMAGE SEGMENTATION SYSTEM
Valentin Gabriel Mitrea (),
Mihai-Cristian Pîrvu (),
Mihai-Lucian Voncilă () and
Costin-Anton Boiangiu ()
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Valentin Gabriel Mitrea: Politehnica University of Bucharest, Bucharest, Romania
Mihai-Cristian Pîrvu: Politehnica University of Bucharest, Bucharest, Romania
Mihai-Lucian Voncilă: Politehnica University of Bucharest, Bucharest, Romania
Costin-Anton Boiangiu: Politehnica University of Bucharest, Bucharest, Romania
Journal of Information Systems & Operations Management, 2018, vol. 12, issue 2, 265-280
Abstract:
Image segmentation is an important topic in the field of Computer Vision and has numerous practical applications. It is often used as a preprocessing step for other higher level image processing algorithms such as: text analysis, object identification, feature extraction, etc. However, there is no image segmentation technique that can produce perfect results on any type of image. Numerous algorithms exist and each has its upsides and downsides depending on the input. This paper proposes two voting algorithms that combine the results of some well-known segmentation techniques into a final output which aims to be, in as many cases as possible, better than the individual segmentations.
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:12:y:2018:i:2:p:265-280
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