Paper
21 March 2000 Form distance transform based implementation of morphological filter
Bingcheng Li, Rene J. Villalobos
Author Affiliations +
Abstract
Erosion and dilation are two basic morphological filters and have been widely used in both academic and industrial fields. When they are used in industry, such as automated visual inspection, their implementation cost especially for large masks is a challenging issue. In this paper, we propose a FDT (form distance transform) method for implementing erosion and dilation for some regular shapes. In this proposed method, the implementation of erosion and dilation is first converted into the computation of its FDT. Then a propagation technique is used to compute the FDT. The computational cost of the new method is independent of mask sizes. In contrast of the direct implementation, if the pixel number in a morphological mask is N, the proposed method reduces the implementation cost from O(N) to O(1).
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bingcheng Li and Rene J. Villalobos "Form distance transform based implementation of morphological filter", Proc. SPIE 3966, Machine Vision Applications in Industrial Inspection VIII, (21 March 2000); https://doi.org/10.1117/12.380088
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Cited by 1 scholarly publication.
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KEYWORDS
Binary data

Image filtering

Machine vision

Image analysis

Pattern recognition

Computer vision technology

Image processing

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