caa a22 4500 469051396 CHVBK 20180323132831.0 cr unu---uuuuu 170328e19921201xx s 000 0 eng 10.1007/BF01213529 doi (NATIONALLICENCE)springer-10.1007/BF01213529 Paglieroni David 707 Leahy St., 94061, Redwood City, CA aut A unified distance transform algorithm and architecture [Elektronische Daten] [David Paglieroni] Standard distance transform algorithms produce approximate results and are unsuitable for real-time implementation since they require massive parallelism. A new unified algorithm that computes distance and related nearest feature transforms concurrently for arbitrary bit maps based on any distance function from a broad class is presented. The algorithm has an efficient implementation on serial processors and a unified transform architecture is proposed for feasible real-time performance based on parallel row followed by parallel column scanning. Its importance lies in that it supports real-time performance and a broader set of machine vision applications than the standard approach. Springer-Verlag New York Inc, 1992 nearest feature transform nationallicence distance transform nationallicence spread bit map nationallicence iterative parallel algorithm nationallicence sequential local algorithm nationallicence unified transform algorithm nationallicence Machine Vision and Applications Springer-Verlag 5/1(1992-12-01), 47-55 0932-8092 5:1<47 1992 5 138 https://doi.org/10.1007/BF01213529 text/html Onlinezugriff via DOI 1 brief-communication jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF01213529 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Paglieroni David 707 Leahy St., 94061, Redwood City, CA aut NATIONALLICENCE 773 0- Machine Vision and Applications Springer-Verlag 5/1(1992-12-01), 47-55 0932-8092 5:1<47 1992 5 138 Metadata rights reserved Springer special CC-BY-NC licence nationallicence SWISSBIB 469051396 BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer