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Subpixel distance maps and weighted distance transforms

机译:亚像素距离图和加权距离变换

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Abstract: rithm for computing the Euclidean distance from the boundary of a given digitized shape is presented. The distance is calculated with sub-pixel accuracy. The algorithm is based on an equal distance contour evolution process. The moving contour is embedded as a level set in a time varying function of higher dimension. This representation of the evolving contour makes possible the use of an accurate and stable numerical scheme, due to Osher and Sethian. !20
机译:摘要:提出了从给定数字化形状的边界计算欧几里得距离的算法。该距离以亚像素精度计算。该算法基于等距轮廓演化过程。将运动轮廓嵌入为高维时变函数中设置的级别。由于Osher和Sethian,这种不断发展的轮廓表示法使得可以使用精确而稳定的数值方案。 !20

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