26 October 1983 Segmentation Of Images Using Minimum Spanning Trees
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Proceedings Volume 0397, Applications of Digital Image Processing V; (1983); doi: 10.1117/12.935297
Event: 1983 International Technical Conference/Europe, 1983, Geneva, Switzerland
Abstract
A new image segmentation technique based on minimum spanning trees is proposed. The motivation for using minimum spanning trees is their apparent ability of Gestalt clustering, thus relating the segmentation algorithm to Gestalt principles of perceptual organization. Several examples of segmentation using the new algorithm demonstrate the closeness between the results and human perception. The new algorithm is extremely flexible in accomodating different objectives and criteria of segmentation.
© (1983) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Minsoo Suk, Tai Hoon Cho, "Segmentation Of Images Using Minimum Spanning Trees", Proc. SPIE 0397, Applications of Digital Image Processing V, (26 October 1983); doi: 10.1117/12.935297; https://doi.org/10.1117/12.935297
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KEYWORDS
Image segmentation

Image processing algorithms and systems

Computing systems

Machine vision

Computer engineering

Computer simulations

Electrical engineering

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