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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29569


    Title: Segmentation of planar curves into circular arcs and line segments
    Authors: Chen,JM;Ventura,JA;Wu,CH
    Contributors: 產業經濟研究所
    Keywords: AUTOMATED VISUAL INSPECTION;RECONSTRUCTION
    Date: 1996
    Issue Date: 2010-06-29 20:31:35 (UTC+8)
    Publisher: 中央大學
    Abstract: In many applications, like shape analysis, it is necessary to decompose an object contour into straight-line segments and circular arcs, because many man-made objects (especially machined parts) are composed of these two types of geometric entities. This paper presents a procedure for segmenting a planar curve into lines and arcs, in which the number of entities (or break points) of the curve is given. This procedure can be divided into two stages: (1) to obtain a starting set of break points, and determine the approximation functions (lines and arcs) for the data intervals that are separated by the break points; and (2) to adjust the break points until the error norm is locally minimized. The first stage is based on the detection of significant changes in curvature using the chain-code and differential chain-code techniques, and the second stage is an optimization curve/line fitting scheme. A computational comparison with a modified dynamic programming (MDP) approach shows that the proposed procedure obtains near optimal solutions (relative errors less than 1%) for all the test problems, and requires less than 1.2% of the computational time needed by the MDP approach.
    Relation: IMAGE AND VISION COMPUTING
    Appears in Collections:[產業經濟研究所] 期刊論文

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