Boundary extraction in images using a clustering algorithm
Sergey Victorovich Belim, P. Kutlunin · Computer Optics · 2015
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.