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The Gradient Product Transform: An Image Filter for Symmetry Detection

机译:梯度积变换:用于对称检测的图像滤波器

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The Gradient Product Transform (GPT) is an image filter that converts a grayscale image into a float image, such that points representing a point reflection symmetry center obtain a high score. Beside the symmetry score, it also yields an estimator for the size of the symmetry region around each point. Apart from describing the GPT, the article also explains its application for two use cases: detection of objects with a point reflection or C2m rotational symmetry, and the extraction of blood vessel skeletons from medical images. For the detection of symmetric objects, a score normalization procedure is suggested that allows to choose a fixed threshold for score values representing actual symmetries.
机译:梯度积变换(GPT)是一种图像过滤器,可将灰度图像转换为浮点图像,从而使代表点反射对称中心的点获得高分。除了对称性得分外,它还为每个点周围的对称性区域的大小提供了一个估计量。除了描述GPT之外,本文还解释了它在两个用例中的应用:具有点反射或C2m旋转对称性的对象检测,以及从医学图像中提取血管骨骼。对于对称对象的检测,建议使用分数归一化过程,该过程允许为代表实际对称性的分数值选择固定阈值。

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