Paper
1 June 1992 Automatic generation of morphological sequences
Michael A. Zmuda, Louis A. Tamburino, Mateen M. Rizki
Author Affiliations +
Abstract
Morphological sequences (algorithms or programs) are generated using an evolutionary approach. A population of morphological sequences is manipulated and expanded in discrete steps. At each time-step two tasks are initiated--program discovery and program construction. The discovery phase searches for short morphological sequences which extract novel features. Program composition utilizes these sequences, which are partial solutions, to form increasingly effective sequences. The composition phase selects pairs of sequences and combines them into extended sequences which capture spatial relationships. The enhanced population serves as the basis for another phase of discovery and composition. Several demonstrations illustrate the system's ability to synthesize and integrate feature extraction routines.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael A. Zmuda, Louis A. Tamburino, and Mateen M. Rizki "Automatic generation of morphological sequences", Proc. SPIE 1769, Image Algebra and Morphological Image Processing III, (1 June 1992); https://doi.org/10.1117/12.60636
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Cited by 10 scholarly publications.
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KEYWORDS
Silicon

Image processing

Detection and tracking algorithms

Information operations

Chemical elements

Composites

Feature extraction

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