Detecting L-, T-, and X-junctions from low-order image derivatives

Toshiki Iso; Masahiko Shizawa

doi:10.1117/12.157875

22 October 1993 Detecting L-, T-, and X-junctions from low-order image derivatives

Toshiki Iso, Masahiko Shizawa

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157875
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

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.

Citation Download Citation

Toshiki Iso and Masahiko Shizawa "Detecting L-, T-, and X-junctions from low-order image derivatives", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157875

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