Paper
1 November 1990 Importance of band-pass operators for automatic algorithm generation systems
Robert C. Vogt III
Author Affiliations +
Abstract
This paper defines several classes of morphological band-pass operations and discusses their importance with respect to the problem of automatically generating recognition algorithms. It is argued that for reasons of analytical efficiency the band-pass operators are better candidates for primitives in an automatic programming system than are the more basic morphological or image algebraic operators from which they are customarily derived. The bandpass operators are more powerful and compact they make the algorithm development process much easier and they avoid making redundant measurements on images for different but closely related operations. The classes of morphological band-pass operators defined in the paper include those based on erosion and opening of binary images which classify pixels in terms of size or distance as well as others based on dilation closing conditional erosion and conditional dilation along with some of their grey-level counterparts. In addition attention is drawn to a more parsimonious definition for the residues of extensive morphology operations (both binary and grey) which allows them to retain the extensive property and to retain symmetry with their anti-extensive counterparts in contrast to the more common definitions that are currently in use. It is shown that the alternative definitions of these operators are essential for defining band-pass operators for them which in turn is crucial to their employment in automatic algorithm generation systems.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert C. Vogt III "Importance of band-pass operators for automatic algorithm generation systems", Proc. SPIE 1350, Image Algebra and Morphological Image Processing, (1 November 1990); https://doi.org/10.1117/12.23579
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Cited by 1 scholarly publication.
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KEYWORDS
Algorithm development

Image processing

Nanoimprint lithography

Binary data

Particles

Visualization

Detection and tracking algorithms

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