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This article is cited in 15 scientific papers (total in 15 papers)
IMAGE PROCESSING, PATTERN RECOGNITION
Boundary extraction in images using a clustering algorithm
S. V. Belim, P. E. Kutlunin F.M. Dostoevskiy Omsk State University
Abstract:
The article suggests an algorithm of boundary extraction based on image clustering. In the process of clustering, the image is decomposed into simply connected regions based on pixel color. Edges of the regions are considered as the boundaries. The proposed approach allows obtaining well-defined boundaries without blurring. The algorithm is highly resistant to impulse noise.
Keywords:
boundary extraction, edge detection in an image.
Received: 19.01.2015
Citation:
S. V. Belim, P. E. Kutlunin, “Boundary extraction in images using a clustering algorithm”, Computer Optics, 39:1 (2015), 119–124
Linking options:
https://www.mathnet.ru/eng/co65 https://www.mathnet.ru/eng/co/v39/i1/p119
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