Generating feature detectors with discovery algorithms

Traditional techniques for extracting features from images are highly structured processes which require human experts to convert their intuition and experience into algorithms that solve problems such as image classification, target recognition, or assembly line inspection. Intelligent systems such as rule-based expert systems have been used to assist in the development process; however, these approaches still require significant human intervention to achieve acceptable results. This paper describes a system called MORPH which synthesizes complex feature extraction routines using only classification information provided by the image analyst. This system generates a multiplicity of very accurate solutions for several classification tasks