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Proceedings Paper

Detection of junction in images
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Paper Abstract

This paper proposes a junction detection method that detects junctions as those points where edges join or intersect. The edges that form a junction are searched in a square neighbourhood, and the subtended angles among them are calculated by using edge orientations. Local edge orientation at a pixel is estimated by utilizing those edge points close to the pixel. Based on the subtended angles, the pixel is determined to be a junction candidate or not. Each actual junction is accurately localized by suppressing the candidates of non-minimum orientation difference. The proposed method analyzes real cases of extracted edges, and estimates the change of orientations of edge segments in digital fields. The experimental results show that the proposed algorithm can robustly detect junctions in digital images.

Paper Details

Date Published: 27 February 2007
PDF: 10 pages
Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 649705 (27 February 2007); doi: 10.1117/12.704342
Show Author Affiliations
Yong Li, Univ. of Notre Dame (United States)
Robert L. Stevenson, Univ. of Notre Dame (United States)
Jiading Gai, Univ. of Notre Dame (United States)


Published in SPIE Proceedings Vol. 6497:
Image Processing: Algorithms and Systems V
Jaakko T. Astola; Karen O. Egiazarian; Edward R. Dougherty, Editor(s)

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