Paper
9 November 1993 Nonlinear decision boundaries from the use of complex constraints in synthetic discriminant function filters
Bhagavatula Vijaya Kumar, James D. Brasher, Charles F. Hester
Author Affiliations +
Abstract
Conventional Synthetic Discriminant Function (SDF) filter formulations employ the same real correlation output (at origin) for all input training images from the same class, but this leads to poor discrimination. However, this can be overcome by using complex correlation constraints in the SDF filter design. In this paper, we characterize the recognition sets for such SDF filters.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bhagavatula Vijaya Kumar, James D. Brasher, and Charles F. Hester "Nonlinear decision boundaries from the use of complex constraints in synthetic discriminant function filters", Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); https://doi.org/10.1117/12.163627
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image filtering

Nonlinear filtering

Chemical elements

Image segmentation

Visualization

Computer engineering

Distortion

Back to Top