Edge detection by curve fitting

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摘要

Edge detection is formulated as a curve fitting problem. First, high-gradient pixels are grouped into elongated regions and then a curve is fitted to each. The curve fitting method used in this work does not require solving a system of equations, and therefore is fast. Examples of edge detection by curve fitting on synthetic and real images are presented, and results obtained are compared with those determined by the Laplacian of Gaussian operator.

论文关键词:computer vision,image segmentation,edge detection,curve fitting,rational Gaussian curve,minimum-spanning tree

论文评审过程:Received 3 June 1994, Revised 23 August 1994, Available online 16 December 1999.

论文官网地址:https://doi.org/10.1016/0262-8856(95)90837-X