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Proceedings Paper

Segmentation Of Images Using Minimum Spanning Trees
Author(s): Minsoo Suk; Tai Hoon Cho
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Paper 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.

Paper Details

Date Published: 26 October 1983
PDF: 6 pages
Proc. SPIE 0397, Applications of Digital Image Processing V, (26 October 1983); doi: 10.1117/12.935297
Show Author Affiliations
Minsoo Suk, Korea Advanced Institute of Science and Technology (Korea)
Tai Hoon Cho, Korea Advanced Institute of Science and Technology (Korea)

Published in SPIE Proceedings Vol. 0397:
Applications of Digital Image Processing V
Andre J. Oosterlinck; Andrew G. Tescher, Editor(s)

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