A Weight Sequence Distance Function
2013 (English)In: : Mathematical Morphology and Its Applications to Signal and Image Processing / [ed] Cris L. Luengo Hendriks, Gunilla Borgefors, Robin Strand, Springer Berlin/Heidelberg, 2013, 292-301 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2013. 292-301 p.
, Lecture Notes in Computer Science, 7883
Other Computer and Information Science
Research subject Computerized Image Analysis; Computerized Image Processing
IdentifiersURN: urn:nbn:se:uu:diva-210999DOI: 10.1007/978-3-642-38294-9_25OAI: oai:DiVA.org:uu-210999DiVA: diva2:665117
11th International Symposium on Mathematical Morphology, ISMM 2013, May 27-29 2013, Uppsala