Paper
1 June 1992 Morphological transformations of image sequences: a lattice theory approach
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Abstract
We present a unifying approach for the morphological processing of image sequences. The mathematical tool that we choose to work with is lattice theory. Lattice theory allows us to introduce two different, in general, approaches to the problem of morphologically processing image sequences. The first approach formalizes and generalizes the vector approach suggested by Wilson. The second approach is new and extends the vector ideas, proposed by Astola, Haavisto, and Neuvo, regarding median filtering.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John Ioannis Goutsias "Morphological transformations of image sequences: a lattice theory approach", Proc. SPIE 1769, Image Algebra and Morphological Image Processing III, (1 June 1992); https://doi.org/10.1117/12.60651
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Cited by 1 scholarly publication.
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KEYWORDS
Lithium

Image processing

Image analysis

Mathematical morphology

Silicon

Digital filtering

Einsteinium

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