Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
530275 | Pattern Recognition | 2015 | 16 Pages |
•The method detects curvature based criticalities and intersections efficiently.•The method is effective for the noisy and disconnected line drawings.•The method is effective for line drawings with a variety of brush characteristics.•The method is utilized to represent shapes in a design grammar interpreter.•Features in varying scales can be detected in digital drawings.
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.