A robust method for scale independent detection of curvature-based criticalities and intersections in line drawings

Date

2015-01-01

Author

Keles, Hacer Yalim
Tarı, Zehra Sibel

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A novel two-phase iterative method is proposed to identify curvature based criticalities and intersections in line drawings. The method is based on evaluating a field obtained from the image via diffusion using adaptively changing ellipse-shaped analysis windows. The deviation of the average field strength values within the analysis windows from that of an external reference field is used as a metric to evaluate the criticality of a region. The external reference field is computed from an image of a straight line. The experimental results depict that the method is effective in detecting curvature based criticalities and intersections, even for noisy and disconnected drawings as well as drawings drawn with a variety of brush characteristics, such as glass, ocean, ripple, scatter, stamp, strokes effects. Our method can be employed as a part of a design grammar interpreter.

Subject Keywords

Line drawings, Varying brush characteristics, Curvature, Intersection points, Computational design

URI

https://hdl.handle.net/11511/32695

Journal

PATTERN RECOGNITION

DOI

https://doi.org/10.1016/j.patcog.2014.07.005

Collections

Department of Computer Engineering, Article

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Citation Formats

H. Y. Keles and Z. S. Tarı, “A robust method for scale independent detection of curvature-based criticalities and intersections in line drawings,” PATTERN RECOGNITION, pp. 140–155, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32695.