Title :
Generation of feature detectors for texture discrimination by genetic search
Author :
Bala, J.W. ; De Jong, K.
Author_Institution :
Center for Artificial Intelligence, George Mason Univ., Fairfax, VA, USA
Abstract :
A genetic-algorithm-based methodology for learning a set of feature detectors for texture discrimination is presented. This methodology is incorporated into a vision system that learns to classify noisy examples of different texture classes by evolving populations of simple and texture-specific local spatial feature detectors. The results of preliminary work confirm the utility of the genetic algorithm in solving problems within the specified domain
Keywords :
computerised pattern recognition; computerised picture processing; genetic algorithms; learning systems; search problems; feature detectors; genetic search; genetic-algorithm-based methodology; noisy examples; texture classes; texture discrimination; texture-specific local spatial feature detectors; vision system; Artificial intelligence; Computer vision; Detectors; Feature extraction; Genetic algorithms; Image texture analysis; Learning; Machine vision; Pattern recognition; Prototypes;
Conference_Titel :
Tools for Artificial Intelligence, 1990.,Proceedings of the 2nd International IEEE Conference on
Conference_Location :
Herndon, VA
Print_ISBN :
0-8186-2084-6
DOI :
10.1109/TAI.1990.130443
