Paper
16 June 1995 Distance-morphological transformations of digital images
Author Affiliations +
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Valery V. Starovoitov "Distance-morphological transformations of digital images", Proc. SPIE 2488, Visual Information Processing IV, (16 June 1995); https://doi.org/10.1117/12.211994
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KEYWORDS
Image processing

Mathematical morphology

Image analysis

Binary data

Evolutionary algorithms

Selenium

Digital filtering

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