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- W2469679852 abstract "In order to get a efficient color image segmentation, in RGB space, with the advantages of Pulse-coupled neural network(PCNN) and the genetic algorithm in automatic optimization, this paper puts forward a new methods of color image segmentation based on genetic algorithm and PCNN. Connection matrix properties more in line with the bionics of PCNN, with the maximum number of between-class variance criterion function for the fitness function of genetic algorithms to achieve the automation of PCNN model parameters selection, Computer simulation show that it greatly reduced the need to set the parameters, reduced the manual tuning time and improved the efficiency of the segmentation, it has a good color image segmentation." @default.
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- W2469679852 date "2012-04-06" @default.
- W2469679852 modified "2023-09-24" @default.
- W2469679852 title "Automatic Color Image Segmentation Based on PCNN" @default.
- W2469679852 doi "https://doi.org/10.1109/iceice.2012.934" @default.
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