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		<citationkey>ZampirolliLott:2000:ClDiTr</citationkey>
		<author>Zampirolli, Francisco de Assis,</author>
		<author>Lottufo, Roberto de Alencar,</author>
		<title>Classification of the distance transformation algorithms under the mathematical morphology approach</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)</conferencename>
		<year>2000</year>
		<editor>Carvalho, Paulo Cezar Pinto,</editor>
		<editor>Walter, Marcelo,</editor>
		<date>October</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Gramado, RS, Brazil</conferencelocation>
		<keywords>image processing,distance transformation algorithm classification,mathematical morphology,binary image,distance metric,parallel algorithms,sequential raster algorithms,propagation algorithms,computer architectures, image processing.</keywords>
		<abstract>The distance transform (DT) is a morphological erosion of the binary image by a given structuring function, that dictates the distance metric in the transformation. There are many known algorithms and structuring function decompositions to efficiently implement a morphological erosion. Most of the erosion algorithms are classified as parallel, sequential raster (and anti-raster), and propagation. Based on this classification and decomposition, we review and classify most of the DT algorithms reported in the literature. As a result of this study, we have contributed not only to better classify and understand the diversity of the DT algorithms in the literature, but also to create a collection of efficient erosion algorithms suitable to different computer architectures.</abstract>
		<pages>292-299</pages>
		<notes>The conference was held in Gramado, RS, Brazil, from October 17 to 20.</notes>
		<organization>SBC - Brazilian Computer Society</organization>
		<tertiarytype>Full Paper</tertiarytype>
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		<targetfile>292-299.pdf</targetfile>
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