Image Feature Extraction: Genie vs Conventional Supervised Classification Techniques
Neal R. Harvey, Steven P. Brumby, Simon James Perkins, James P. Theiler, John J. Szymanski, Reid B. Porter, Mark C. Galassi, A. Cody Young · 2001
We have developed an automated feature detection /classification system, called Genie (GENetic Imagery Exploitation), which has been designed to generate image processing pipelines for a variety of feature detection /classification tasks. Genie is a hybrid evolutionary algorithm that addresses the general problem of finding features of interest in multi-spectral remotely-sensed images. We describe our system in detail together with experiments involving comparisons of Genie with several conventional supervised classification techniques, for a number of classification tasks using multi-spectral remotely-sensed imagery. Keywords--- Supervised Classification, Genetic Programming, Image Processing, Evolutionary Algorithms, Multispectral Imagery, Remote Sensing.