Image classification and processing using modified parallel-ACTIT

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@InProceedings{Ando:2009:ieeeSMC,

• author = "Jun Ando and Tomoharu Nagao",
• title = "Image classification and processing using modified parallel-ACTIT",
• booktitle = "IEEE International Conference on Systems, Man and Cybernetics, SMC 2009",
• year = "2009",
• month = oct,
• pages = "1787--1791",
• keywords = "genetic algorithms, genetic programming, automatic construction of tree-structural image transformation, image classification, image recognition, modified parallel-ACTIT, training image sets, image classification, tree data structures",
• DOI = "doi:10.1109/ICSMC.2009.5346894",
• ISSN = "1062-922X",
• abstract = "Image processing and recognition technologies are required to solve various problems. We have already proposed the system which automatically constructs image processing with Genetic Programming (GP), Automatic Construction of Tree-structural Image Transformation (ACTIT). However, it is necessary that training image sets are properly classified in advance if they have various characteristics. In this paper, we propose Modified Parallel-ACTIT which automatically classifies training image sets into several subpopulations. And it optimizes tree-structural image transformation for each training image sets in each subpopulations. We show experimentally that Modified Parallel-ACTIT is more effective in comparison with ordinary ACTIT.",
• notes = "Also known as \cite{5346894}",

}

Genetic Programming entries for Jun Ando Tomoharu Nagao

Citations