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Proceedings Paper

Adaptive design of logical structure filters
Author(s): Yidong Chen; Edward R. Dougherty
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Paper Abstract

A binary granulometry is formed as a union of parameterized openings. It induces a reconstructive granulometry by passing image components it does not fully eliminate. Reconstructive granulometries have historically been formed as unions of reconstructive parameterized openings. The theory has been extended to the new class of logical structure filters (LSF). These are unions of intersections of both reconstructive and complementary reconstructive openings. Reconstructive granulometries form the special class of disjunctive LSFs. This paper covers adaptive methods to design parameterized LSFs. A systematic formulation of adaptive transitions is given and applications are provided.

Paper Details

Date Published: 24 September 1998
PDF: 9 pages
Proc. SPIE 3457, Mathematical Modeling and Estimation Techniques in Computer Vision, (24 September 1998); doi: 10.1117/12.323456
Show Author Affiliations
Yidong Chen, National Human Genome Research Institute/NIH (United States)
Edward R. Dougherty, Texas A&M Univ. (United States)


Published in SPIE Proceedings Vol. 3457:
Mathematical Modeling and Estimation Techniques in Computer Vision
Francoise J. Preteux; Jennifer L. Davidson; Edward R. Dougherty, Editor(s)

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