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一种基于特征点的二维碎片匹配算法
引用本文:许刚,梁磊.一种基于特征点的二维碎片匹配算法[J].科学技术与工程,2014,14(5):129-132.
作者姓名:许刚  梁磊
作者单位:华北电力大学电气与电子工程学院,华北电力大学电气与电子工程学院
基金项目:中央高校基本科研业务费专项资金资助(13XS01) Supported by “the Fundamental Research Funds for the Central Universities(13XS01)”
摘    要:提出了一种基于特征点的二维碎片轮廓匹配算法,有效地减少了匹配过程中的计算量。先对图像轮廓进行提取和去噪,计算轮廓曲线的曲率后选取特征点。接着计算特征片段的弧长与弦长比值,作为曲线特征进行匹配。实例表明,该方法提高计算的效率和匹配的成功率。

关 键 词:二维碎片  特征点  曲率  弧长  弦长  轮廓匹配
收稿时间:2013/9/24 0:00:00
修稿时间:2013/9/24 0:00:00

A method for two-dimensional fragments matching based on feature points
xu gang and.A method for two-dimensional fragments matching based on feature points[J].Science Technology and Engineering,2014,14(5):129-132.
Authors:xu gang and
Abstract:For effectively reducing the amount of computation during the matching process, a method for two-dimensional fragments matching based on feature points is presented. The main idea of this method was effectively select the feature points by calculating the curvature after extract and de-noising the contour curve of the fragment. The ratio between arch length and chord length of the feature segment was used as a key to contour matching. Experimental result shows that this method improves computing efficiency and success rate of the matching.
Keywords:two-dimensional fragment  feature point  curvature  arch length  chord length  contour matching
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