Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/2300
Title: On-line segmentation of freehand sketches by knowledge-based nonlinear thresholding operations
Authors: Qin, SF
Wright, DK
Jordanov, IN
Keywords: Heurestic knowledge;On-line sketches;Curve segmentation and classification;Conceptual design
Issue Date: 2001
Publisher: Elsevier
Citation: Pattern Recognition 34(10): 1885-1893
Abstract: This paper describes an on-line procedure for segmenting freehand sketches into 2D primitives and smooth curves by knowledge-based nonlinear thresholding operations. Drawing position, direction, speed and acceleration information is used for establishing fuzzy knowledge and inferring user’s intention. The procedure can be divided into three stages: (1) obtaining corner points based on the fuzzy knowledge and adaptive thresholds, which includes detecting “obtuse” and “acute” corner points; (2) finding smooth join points, during which stage we use both curve linearity and curvature; and (3) classifying the sketches into the corresponding curves according to curve linearity and changes of curve convexity. The method is illustrated and tested with a number of sketches.
URI: http://bura.brunel.ac.uk/handle/2438/2300
ISSN: 0031-3203
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Dept of Design Research Papers



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