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A Weight Sequence Distance Function
University of Debrecen, Department of Computer Science, Debrecen Hungary .ORCID-id: 0000-0002-9494-6440
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Avdelningen för visuell information och interaktion. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Bildanalys och människa-datorinteraktion.
Universit ́ de Nantes, IRCCyN UMR CNRS 6597, Nantes, France.
2013 (engelsk)Inngår i: : Mathematical Morphology and Its Applications to Signal and Image Processing / [ed] Cris L. Luengo Hendriks, Gunilla Borgefors, Robin Strand, Springer Berlin/Heidelberg, 2013, s. 292-301Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In this paper, a family of weighted neighborhood sequence distance functions defined on the square grid is presented. With this distance function, the allowed weight between any two adjacent pixels along a path is given by a weight sequence. We build on our previous results, where only two or three unique weights are considered, and present a framework that allows any number of weights. We show that the rotational dependency can be very low when as few as three or four unique weights are used. An algorithm for computing the distance transform (DT) that can be used for image processing applications is also presented.

sted, utgiver, år, opplag, sider
Springer Berlin/Heidelberg, 2013. s. 292-301
Serie
Lecture Notes in Computer Science ; 7883
HSV kategori
Forskningsprogram
Datoriserad bildanalys; Datoriserad bildbehandling
Identifikatorer
URN: urn:nbn:se:uu:diva-210999DOI: 10.1007/978-3-642-38294-9_25OAI: oai:DiVA.org:uu-210999DiVA, id: diva2:665117
Konferanse
11th International Symposium on Mathematical Morphology, ISMM 2013, May 27-29 2013, Uppsala
Tilgjengelig fra: 2013-11-19 Laget: 2013-11-19 Sist oppdatert: 2018-01-11

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