Abstract
In this paper, we compare two different definitions of distance transform for gray level images: The Gray Weighted Distance Transform (GWDT), and the Weighted Distance Transform On Curved Space (WDTOCS). We show through theoretical and experimental comparisons the differences, the strengths and the weaknesses of these two distances. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Fouard, C., & Gedda, M. (2006). An objective comparison between gray weighted distance transforms and weighted distance transforms on curved spaces. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4245 LNCS, pp. 259–270). Springer Verlag. https://doi.org/10.1007/11907350_22
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