基于距离、角度、模板的角点检测算法
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    摘要:

    提出了一种基于距离、角度序列极值和距离模板匹配的角点检测算法。此算法不但与 基于灰度和基于曲率的方法截然不同,而且克服了他们的缺点。首先利用距离、角度序列极值检测得到明显转折部位的角点,然后根据距离模板匹配获得转折平稳部位的角点,最后经过伪角点删除,得到最终结果。仿真实验表明,该算法通过对序列极值判断支撑区域及模板大小的控制,抑制了数字化误差及噪声的影响,可以有效地实现二维图像的角点检测与定位,具有较高的精度,是一种实用、有效的角点探测算法。

    Abstract:

    A corner detection algorithm based on extrema of a distance sequence and a angel sequence is p roposed,which is distinct from other app roaches based on curvature and intensity, and also overcomes some defects of them. Firstly, extrema detection of a distance sequence and anangel sequence are app lied to find corners of apparently turning parts, and then corners of gently turning parts are obtained by distance temp late marching. At last, the final result is gained after deleting false corners. Experiments show that this algorithm restrains influences of the quantization error and noise by controlling sizes of the distance temp late and supporting region of extrema in sequences, and it has high precision and stability of the corner detection of 2D image and location. It is a p ractical, effective corner detection algorithm.

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杨海峰 侯朝桢.基于距离、角度、模板的角点检测算法[J].激光与红外,2005,35(7):
.[J]. LASER & INFRARED,2005,35(7):

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  • 在线发布日期: 2005-10-12
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