基于鲁棒一致性的边缘检测

Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Pub Date : 1992-06-15 DOI:10.1109/CVPR.1992.223210

D. Mintz

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引用次数: 26

摘要

提出了一种鲁棒的边缘检测算法。该算法同时检测屋顶型和阶梯型边缘。如果在试图确定像素是否位于不连续上的不同进程之间存在共识，则将像素声明为边缘像素。鲁棒方法用于估计像素邻域窗口的局部拟合，并从每个拟合中累积投票。鲁棒估计的使用允许将任何可能包含不连续点的窗口转换为在不连续点位置包含阶跃边缘的二值窗口。常规方法用于检测该阶跃边缘。

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Robust consensus based edge detection

A robust algorithm for edge detection is presented. The algorithm detects both roof- and step-type edges. A pixel is declared as an edge pixel if there is a consensus between different processes that try to determine if the pixel lies on a discontinuity. Robust methods are used to estimate local fits to windows in the pixel's neighborhood and accumulate votes from each fit. The use of robust estimators allows the transformation of any window possibly containing a discontinuity to a binary window containing a step edge in the location of the discontinuity. Conventional methods are used to detect this step edge.<>

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Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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