非重叠厚椭圆检测的尺度空间Radon变换

A. Goumeidane, D. Ziou, Nafaa Nacereddine
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引用次数: 3

摘要

结合椭圆的多尺度Hessian和尺度空间Radon变换(SSRT)的优点,提出了一种新的椭圆结构检测方法。前者的优点是双重的:突出显示定义图像中存在的椭圆的线条,并减少这些椭圆在SSRT空间中的搜索空间,这将丢弃假的SSRT最大值。SSRT的后续应用反过来又可以减轻计算负荷,并且可以很好地检测非线状的厚椭圆。在合成图像和真实图像上进行的实验表明,与椭圆Radon变换相比,该方法具有较好的厚椭圆检测效果,且计算量较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scale Space Radon Transform for Non Overlapping Thick Ellipses Detection
This paper presents a new elliptical structure detection method, combining the advantages of the multiscale Hessian, and the scale space Radon transform (SSRT) for an ellipse. The advantage of the former is twofold: highlighting the lines defining the ellipses present in the image and reducing the search space for these ellipses in the SSRT space, which will discard the false SSRT maxima. The subsequent application of the SSRT permits, in turn, to alleviate the computation load and to obtain, moreover, a good detection of thick ellipses when they are not threadlike. Experiments carried out on synthetic and real images have shown good detection of thick ellipses, with low computational overhead compared to the Elliptical Radon transform.
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