Efficient evolutionary image processing using genetic programming: Reducing computation time for generating feature images of the Automatically Construction of Tree-Structural Image Transformation (ACTIT)

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{Bai:2010:ISDA,

• author = "Haiying Bai and Noriko Yata and Tomoharu Nagao",
• title = "Efficient evolutionary image processing using genetic programming: Reducing computation time for generating feature images of the Automatically Construction of Tree-Structural Image Transformation (ACTIT)",
• booktitle = "10th International Conference on Intelligent Systems Design and Applications (ISDA 2010)",
• year = "2010",
• month = nov # " 29-" # dec # " 1",
• pages = "302--307",
• abstract = "Using well-established techniques of Genetic Programming (GP), we automatically optimise image feature filters over several inputs and within transformation images, improving the Automatic Construction of Tree-Structural Image Transformation (ACTIT) system. Our objective is to also produce optimal solutions in substantially less computation time than require for generating features of ACTIT. We improved the algorithm feature filters in the process through GP, which are expressed by trees in Automatic Construction of Tree-Structural Image Transformation, to reduce computation time. Through our experimentation, we show that our new approach is accurate and requires less computation time by maintaining the feature images in conjunction with the original images.",
• keywords = "genetic algorithms, genetic programming, ACTIT, automatically construction of tree-structural image transformation, evolutionary image processing, image feature filters, transformation images, image processing",
• DOI = "doi:10.1109/ISDA.2010.5687249",
• notes = "Grad. Sch. of Environ. & Inf. Sci., Yokohama Nat. Univ., Yokohama, Japan. Also known as \cite{5687249}",

}

Genetic Programming entries for Hai Ying Bai Noriko Yata Tomoharu Nagao

Citations