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基于B样条模型的曲线特征点检测法

肖轶军 丁明跃 彭嘉雄

数据采集与处理2000,Vol.15Issue(4):422-425,4.
数据采集与处理2000,Vol.15Issue(4):422-425,4.

基于B样条模型的曲线特征点检测法

On Detection of Prominent Point Using B-Spline Model

肖轶军 1丁明跃 1彭嘉雄1

作者信息

  • 1. 华中科技大学模式识别与人工智能研究所图像信息处理与智能控制教育部重点实验室武汉,430074
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摘要

Abstract

A method to detect prominent points of digital curves is presented. It introduces a B-spline model to approximate the original curve so that the curvatures can be accurately estimated with the analytical expression and then the prominent points can be determined from the curvature distribution. Moreover the B-spline approximation makes its noise insensitive to detect the prominent points, due to its smoothness in the curve fitting which does not have shrinkage effects like Gaussian function convolution. Experimental results show the validity of this method.

关键词

特征点检测/曲率估计/B样条/曲线逼近

Key words

prominent points detection/curvature estimation/B-spline/curve approximation

分类

信息技术与安全科学

引用本文复制引用

肖轶军,丁明跃,彭嘉雄..基于B样条模型的曲线特征点检测法[J].数据采集与处理,2000,15(4):422-425,4.

基金项目

国家自然科学基金(编号:69775005)和国家教委跨世纪人才基金资助项目。 (编号:69775005)

数据采集与处理

OACSCDCSTPCD

1004-9037

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