distance labelsequential algorithmspixelpicture scanseven octagonal metricspicture processing/ B6140C Optical information, image and video signal processing C1250 Pattern recognition C1260 Information theoryBase
The distance transform is a crucial technique in binary image processing, assigning the distance to the nearest contour to each foreground pixel. In this extended version of our previous work, we enhance our method for computing the maximum distance transform (DT) value, now utilizing the ...
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The Euclidean distance D2 is the default metric in many common models of psychological similarity, including those based on multidimensional scaling (MDS; see Arabie, 1991; Borg et al., 2018). From an information-processing perspective, D2 is consistent with the idea that the difference between...
Given a two-dimensional (2D) binary image, EDM is a 2D array of the same size such that each element stores the Euclidean distance to the nearest black pixel. In the proposed GPU implementation, we have considered many programming issues of the GPU system such as coalesced access of global...
1.Secondly, palm print recognition based on the fuzzy similarity was proposed, after analyzing the characteristic of palm print image, the membership function was proposed to establish the similar palm print image matrix, and thenEuclidean distancewas used to identify the image.然后,提出了基于模糊相...
Nakano, "Imple- mentations of a parallel algorithm for computing euclidean distance map in multicore processors and GPUs," Interna- tional Journal of Networking and Computing, vol. 1, no. 2, pp. 260-276, July 2011.Man D, Uda K, Ueyama H, Ito Y, Nakano K. Implementations of a ...
OUTPUT: Single column vector, euclidV3D, with each row being the 3D distance between each position vector in the two point sets. E.g. euclid3D=[1.7321; 1.7321; 1.7321] USAGE: [euclidV3D] = euclideanV(x1, y1, z1, x2, y2, z2) Function avoids for loops and is thus faster than...
Hugo EmbrechtsDirk Roose Computer Vision and Image Understanding Jan 199631被引用 0笔记PDF 引用 收藏 开学季特惠,9月3日-11月30日,专业版用户每周AI豆3倍膨胀,快来领取吧!摘要原文 We present a parallel algorithm for the Euclidean distance transformation (EDT). It is a “divide-and-conquer” ...
Squared Euclidean Distance is a measure of dissimilarity between two objects in character space, calculated by squaring the differences in values for each character and summing them up. AI generated definition based on: New Approaches for the Generation and Analysis of Microbial Typing Data, 2001 ...