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- W2353988531 abstract "In order to use pulse coupled neural networks (PCNN) for precise automatic image segmentation, we propose an improved PCNN model. We first establish a connection weight matrix based on the image local gray correlation and on the Euclid distance. We then used the minimum variance ratio criterion to automatically determine PCNN cycle times, and achieve automatic image segmentation. The simulation results show that this method can automatically determine the number of iterations PCNN, and that it is highly feasible and better segmentation effect." @default.
- W2353988531 created "2016-06-24" @default.
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- W2353988531 date "2014-10-31" @default.
- W2353988531 modified "2023-09-27" @default.
- W2353988531 title "Automatic Image Segmentation with PCNN Algorithm Based on Grayscale Correlation" @default.
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- W2353988531 doi "https://doi.org/10.14257/ijsip.2014.7.5.22" @default.
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