Evolving Novel Image Features Using Genetic Programming-Based Image Transforms

Created by W.Langdon from gp-bibliography.bib Revision:1.7964

@InProceedings{Kowaliw:2009:cec,

• author = "Taras Kowaliw and Wolfgang Banzhaf and Nawwaf Kharma and Simon Harding",
• title = "Evolving Novel Image Features Using Genetic Programming-Based Image Transforms",
• booktitle = "2009 IEEE Congress on Evolutionary Computation",
• year = "2009",
• editor = "Andy Tyrrell",
• pages = "2502--2507",
• address = "Trondheim, Norway",
• month = "18-21 " # may,
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• isbn13 = "978-1-4244-2959-2",
• file = "P085.pdf",
• DOI = "doi:10.1109/CEC.2009.4983255",
• abstract = "In this paper, we use Genetic Programming (GP) to define a set of transforms on the space of grey scale images. The motivation is to allow an evolutionary algorithm means of transforming a set of image patterns into a more classifiable form. To this end, we introduce the notion of a Transformbased Evolvable Feature (TEF), a moment value extracted from a GP-transformed image, used in a classification task. Unlike many previous approaches, the TEF allows the whole image space to be searched and augmented. TEFs are instantiated through Cartesian Genetic Programming, and applied to a medical image classification task, that of detecting muscular dystrophy-indicating inclusions in cell images. It is shown that the inclusion of a single TEF allows for significantly superior classification relative to predefined features alone.",
• keywords = "genetic algorithms, genetic programming, Cartesian Genetic Programming",
• notes = "CEC 2009 - A joint meeting of the IEEE, the EPS and the IET. IEEE Catalog Number: CFP09ICE-CDR",

}

Genetic Programming entries for Taras Kowaliw Wolfgang Banzhaf Nawwaf Kharma Simon Harding

Citations