Circle recognition through a 2D Hough Transform and radius histogramming

被引:181
|
作者
Ioannou, D
Huda, W
Laine, AF
机构
[1] Columbia Univ, Ctr Biomed Engn, New York, NY 10027 USA
[2] Univ Florida, Dept Nucl Engn Sci, Gainesville, FL 32611 USA
[3] Univ Florida, Dept Radiol, Gainesville, FL 32611 USA
关键词
Hough Transform; circle detection; digitization errors; radius histogramming; filtering;
D O I
10.1016/S0262-8856(98)00090-0
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a two-step algorithm for the recognition of circles. The first step uses a 2D Hough Transform for the detection of the centres of the circles and the second step validates their existence by radius histogramming. The 2D Hough Transform technique makes use of the property that every chord of a circle passes through its centre. We present results of experiments with synthetic data demonstrating that our method is more robust to noise than standard gradient based methods. The promise of the method is demonstrated with its application on a natural image and on a digitized mammogram. (C) 1999 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:15 / 26
页数:12
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