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Proceedings Paper

Detecting L-, T-, and X-junctions from low-order image derivatives
Author(s): Toshiki Iso; Masahiko Shizawa
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Paper Abstract

The proposed one-shot algorithm requires only first- and second-order image derivatives in local neighborhoods to detect multiple orientations and to classify L-, T-, X-junctions. This algorithm has two stages. The first stage detects multiple orientations with a parametrized filter based on the principle of superposition, and the second stage classifies L-, T-, X- junctions with first-order image derivatives in local areas in order to evaluate the borders. The computational cost is therefore low, and the method is robust against noise. The algorithm provided successful results for artificial images and real images.

Paper Details

Date Published: 22 October 1993
PDF: 13 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.157875
Show Author Affiliations
Toshiki Iso, ATR Human Information Processing Labs. (Japan)
Masahiko Shizawa, ATR Human Information Processing Labs. (Japan)


Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

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