Academic Journal

Investigation of Image Feature Extraction by a Genetic Algorithm

Bibliographic Details
Title: Investigation of Image Feature Extraction by a Genetic Algorithm
Authors: Brumby, Steven P., Theiler, James P., Perkins, Simon J., Harvey, Neal R., Szymanski, John J., Bloch, Jeffrey J., Mitchell, Melanie
Source: Computer Science Faculty Publications and Presentations
Publisher Information: PDXScholar
Publication Year: 1999
Collection: Portland State University: PDXScholar
Subject Terms: Genetic algorithms, Remote sensing, Image processing -- Computer programs, Evolutionary computation, Computer Engineering, Theory and Algorithms
Description: We describe the implementation and performance of a genetic algorithm which generates image feature extraction algorithms for remote sensing applications. We describe our basis set of primitive image operators and present our chromosomal representation of a complete algorithm. Our initial application has been geospatial feature extraction using publicly available multi-spectral aerial-photography data sets. We present the preliminary results of our analysis of the efficiency of the classic genetic operations of crossover and mutation for our application, and discuss our choice of evolutionary control parameters. We exhibit some of our evolved algorithms, and discuss possible avenues for future progress.
Document Type: text
File Description: application/pdf
Language: unknown
Relation: https://pdxscholar.library.pdx.edu/compsci_fac/5; https://pdxscholar.library.pdx.edu/context/compsci_fac/article/1004/viewcontent/investigation_of_image_feature.pdf
Availability: https://pdxscholar.library.pdx.edu/compsci_fac/5
https://pdxscholar.library.pdx.edu/context/compsci_fac/article/1004/viewcontent/investigation_of_image_feature.pdf
Accession Number: edsbas.3B98C90
Database: BASE
Description
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