一种基于条件骨架的拐点检测方法
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Supported by the National Natural Science Foundation of China under Grant No.69973018 (国家自然科学基金); the Natural Science Foundation of Hubei Province of China under Grant No.99J009 (湖北省自然科学基金)


A Novel Method for Corner Detection Based on Conditional Skeleton
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    摘要:

    把原始图像看成一个多边形,则形态条件骨架的延长线一定通过多边形的顶点,通过检测条件骨架中最大圆盘半径为零的点来获得凸点的拐点,并由它的补图来获得凹点的拐点.全部拐点由原图及补图的拐点进行逻辑异或操作获得并可去掉离散化后产生的网格拐点.此方法定位精度高、速度快,易于硬件实现和并行处理.由于先用较大圆盘做初步检测,可以降低噪声干扰.利用两种新的大圆盘,此方法可推广到灰度图像的拐点检测.

    Abstract:

    A source image is regarded as a polygon, and the extended line of the morphologic conditional skeleton must cross the vertex of a polygon. The convex corners can be obtained through detecting the zero radius of the maximum plate on morphologic skeleton. All the results of corner detection are given by logical hetero or operation between two corner sets of source image and its supplemental image. In addition to the pseudo lattice, corners which are generated by discrete sampling can also be eliminated.This method has very high value in exactly locating the corner,can reduce the computational cost,only requires simple hardware equipment,and is convenient for parallel processing.Because of using large plate to detect corner,this method is good for noise filtering and can be popularized to gray images by using two kinds of large plate.

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刘文予,李华,朱光喜.一种基于条件骨架的拐点检测方法.软件学报,2001,12(11):1595-1600

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