Segmentation of planar curves using local and global behaviour analysis | Zendy

Liu Cai | Zendy; J. Porrill | Zendy; Stephen Pollard | Zendy; J. E. W. Mayhew | Zendy; J. P. Frisby | Zendy

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Segmentation of planar curves using local and global behaviour analysis

Author(s) -

Liu Cai,

J. Porrill,

Stephen Pollard,

J. E. W. Mayhew,

J. P. Frisby

Publication year - 1990

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5244/c.4.44

Subject(s) - curvature , segmentation , polygonal chain , conic section , planar , regular polygon , image segmentation , artificial intelligence , convex curve , line segment , mathematics , shape analysis (program analysis) , pattern recognition (psychology) , classifier (uml) , medial axis , convex hull , geometry , computer science , convex body , computer graphics (images) , static analysis , programming language

In this paper a planar curve segmentation method based on the analysis of curvature and mean polygonal area is proposed. A rough segmentation of the curve is first produced by a high/low curvature classifier and then refined by a high/low/zero classifier and a knot/straight/convex/concave shape identifier so as to obtain a set of critical knots and shape descriptors for all segments. A straight line or conic approximation is then applied to each segment to generate a symbolic representation of the curve.

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