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Boundary extraction in images using a clustering algorithm
Belim S.V., Kutlunin P.E.

 

F.M. Dostoevskiy Omsk State University

 

DOI: 10.18287/0134-2452-2015-39-1-119-124

Full text of article: Russian language.

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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.

Citation:
Belim SV, Kutlunin PE. Boundary extraction in images using a clustering algorithm. Computer Optics 2015; 39(1): 119-124. DOI: 10.18287/0134-2452-2015-39-1-119-124.

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