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• W2095484611 abstract "Distance maps of binary images contain, for each pixel, the distance between that pixel and the pixel of value 0 closest to it. They are useful for a variety of machine-vision applications. This paper presents a simple and efficient algorithm for computing the Euclidean distance maps. The algorithm runs in O(N2) time for an N × N binary image, and it also works for other distances that appear in machine-vision applications, such as city block and chessboard. Its parallel version runs in O(N2/p) time with p(1 ≤ p ≤ N) processors." @default.
• W2095484611 created "2016-06-24" @default.
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• W2095484611 date "1996-01-01" @default.
• W2095484611 modified "2023-09-24" @default.
• W2095484611 title "An efficient algorithm for the euclidean distance transformation" @default.
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• W2095484611 doi "https://doi.org/10.1002/scj.4690270702" @default.
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