ON IMAGE SEGMENTATION USING A COMBINATION OF FELZENSZWALB, SLIC AND WATERSHED METHODS

Alin-Florin Mihä‚ilä‚ (), Patricia-Steliana Penariu (), Giorgiana Violeta Vlä‚sceanu () and Marcel Prodan ()
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Alin-Florin Mihä‚ilä‚: Politehnica University of Bucharest, Bucharest, Romania
Patricia-Steliana Penariu: Politehnica University of Bucharest, Bucharest, Romania
Giorgiana Violeta Vlä‚sceanu: Politehnica University of Bucharest, Bucharest, Romania
Marcel Prodan: Politehnica University of Bucharest, Bucharest, Romania

Journal of Information Systems & Operations Management, 2020, vol. 14, issue 1, 121-129

Abstract: Image segmentation is an essential problem in Computer Vision and it is foundational to the development of next-generation information extraction methods, issued in problems of great interest, such as driving autonomous machines, text analysis, object identification, extracting information from images. Knowing that there are no perfect algorithms for image segmentation, this paper aims to achieve a method that combines the results of different algorithms through various voting schemes in the hope of getting better results.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:14:y:2020:i:1:p:121-129

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