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Advanced_extracting_algorithm_for_edge_feature_poi

于 2010-05-12 发布 文件大小:284KB
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  : 对一种基于图像几何重心的特征点提取算法进行了改进 改进后的算法可以提取任何边缘线上凹凸处的特征点 其基本 思想是,首先提取图像的边缘轮廓线,计算封闭边缘线和非封闭边缘线的几何重心 然后以重心为极点,对边缘点极坐标化,形成 幅角-极径曲线,在该曲线上寻找局部极大极小值点 最后根据局部非极大(小)抑制原则对极大(小)值点进行取舍获得特征点 模 拟结果表明算法计算简单 稳定性好 该方法提取的特征点能准确地反映目标的形状,对目标的识别 跟踪以及三维表面重建等都 具有重要的价值(This paper modifiesakindoffeatureextractingalgorithmbasedonimageedge.First, imageedgeoutlineisextracted. Second, geometricgravitycenterofedgeoutlineiscalculated.Third, argument-polarradiuscurveofpolarcoordinatesystemwhose poleisgeometricgravityisformed, andmaximumandminimumvaluepointsaresearched.Atlast, featurepointsareobtainedby selectingmaximum (minimum) valuepointsaccordingtolocalnon-maximum (minimum) depressionprinciple.Theresultindicates thatthealgorithmissimpleanditsstabilityisgood.Itisimportantforobjectrecognitionandthree-dimensionreconstruction.)

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改进的边缘特征点提取算法[1].pdf

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