Proceedings Article10.1109/ICSMC.2009.5346894
Image classification and processing using modified parallel-ACTIT
Jun Ando,Tomoharu Nagao +1 more
- 11 Oct 2009
- pp 1787-1791
TL;DR: Modified Parallel-ACTIT is proposed which automatically classifies training image sets into several subpopulations and it optimizes tree-structural image transformation for each training image set in each subpopulation.
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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.
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