Directional decomposition of line-drawing images based on self-dilated line kernels

Gady Agam; Its'hak Dinstein

doi:10.1117/12.323267

2 October 1998 Directional decomposition of line-drawing images based on self-dilated line kernels

Gady Agam, Its'hak Dinstein

Proceedings Volume 3454, Vision Geometry VII; (1998) https://doi.org/10.1117/12.323267
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

Directional decomposition of maps and line-drawing images has the advantage of stressing directional information, and so may assist in the analysis of such images. In this paper, a method is described for directional decomposition of maps and line-drawing images into an arbitrary number of directional edge planes, where the range of directions that is included in each directional edge plane may be determined individually. The proposed approach is based on self dilated line kernels, which are generated by dilating discrete periodic line segments by themselves. These kernels are then used by regulated morphological operations, that extend the fitting interpretation of the ordinary morphological operations, in order to obtain the required decomposition. The paper describes necessary propositions of the proposed approach, and represents examples of their use for the application of line-drawings analysis.

Citation Download Citation

Gady Agam and Its'hak Dinstein "Directional decomposition of line-drawing images based on self-dilated line kernels", Proc. SPIE 3454, Vision Geometry VII, (2 October 1998); https://doi.org/10.1117/12.323267

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