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Coarse-to-Fine Strategy for Ellipse Center Location

机译:椭圆中心位置的粗到细策略

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摘要

In the practical application of machine vision,highly precise ellipse center location is the key to measurement accuracy of the system.In this paper,we propose a robust and efficient method of ellipse center location in various noise effects.The proposed method exploits a coarse-to-fine strategy,the tangents near a contour vote in a Hough voting space,followed by mean shift method for the candidate ellipse center,and the pixel-level ellipse center is gotten by Hessian determinant.Finally interpolation method is used to obtain subpixel center coordinates for ellipse feature.Experimental results reveal our approach has a good location performance and the location error is less than 0.12 pixels.
机译:在机器视觉的实际应用中,高精度的椭圆中心定位是系统测量精度的关键。本文提出了一种鲁棒高效的椭圆中心定位在各种噪声影响下的方法。细化策略,在Hough投票空间中轮廓投票附近的切线,然后通过均值平移法获得候选椭圆中心,并通过Hessian行列式获得像素级椭圆中心。最后采用插值法获得子像素中心实验结果表明,该方法具有良好的定位性能,定位误差小于0.12像素。

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