Investigation of image feature extraction by a genetic algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Brumby:1999:SPIE,

• author = "Steven P. Brumby and James Theiler and Simon J. Perkins and Neal Harvey and John J. Szymanski and Jeffrey J. Bloch and Melanie Mitchell",
• title = "Investigation of image feature extraction by a genetic algorithm",
• booktitle = "Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation II, Proceedings of SPIE",
• year = "1999",
• editor = "Bruno Bosacchi and David B. Fogel and James C. Bezdek",
• volume = "3812",
• pages = "24--31",
• month = "19-20 " # jul,
• keywords = "genetic algorithms, genetic programming, Evolutionary computation, image analysis, multi-spectral analysis",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.8210",
• URL = "http://web.cecs.pdx.edu/~mm/spie3812.pdf",
• DOI = "doi:10.1117/12.367697",
• size = "8 pages",
• abstract = "We describe the implementation and performance of a genetic algorithm (GA) 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.",
• notes = "Fixed length but includes NOP to give variable length http://www.spie.org/web/meetings/programs/sd99/confs/3812.html Los Alamos National Lab; Santa Fe Institute [3812-03]",

}

Genetic Programming entries for Steven P Brumby James Theiler Simon Perkins Neal R Harvey John J Szymanski Jeffrey J Bloch Melanie Mitchell

Citations