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Proceedings Paper

Distance-morphological transformations of digital images
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Paper Abstract

Digital mathematical morphology (MM) and the distance transform (DT) have many points of intersection. The DT combines numerical features and object shapes. Usual application of mathematical morphology uses distance transforms based on the trivial city-block or chessboard metrics like digital representation of continuous ball. In this paper we concern structuring element as oriented neighborhood structures (ONSs) defined in the digital space; wider class of digital metrics and nonmetric functions defined on these NSs. We show that basic morphological operations may be performed by a thresholding of results of local propagations based on this class of digital functions. Such approach simplifies a description of some structuring elements and some operations of image analysis.

Paper Details

Date Published: 16 June 1995
PDF: 10 pages
Proc. SPIE 2488, Visual Information Processing IV, (16 June 1995); doi: 10.1117/12.211994
Show Author Affiliations
Valery V. Starovoitov, Institute of Engineering Cybernetics (Belarus)

Published in SPIE Proceedings Vol. 2488:
Visual Information Processing IV
Friedrich O. Huck; Richard D. Juday, Editor(s)

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