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Circle recognition through a 2D Hough Transform and radius histogramming

机译:通过2D Hough变换和半径直方图进行圆识别

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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.
机译:我们提出了一种用于识别圆的两步算法。第一步使用2D Hough变换检测圆心,第二步通过半径直方图验证其存在。 2D Hough变换技术利用了圆的每个弦通过其中心的特性。我们用合成数据给出了实验结果,表明我们的方法比基于标准梯度的方法对噪声的鲁棒性更高。该方法的前景在自然图像和数字化乳房X线照片上得到了证明。

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