Journal of Kunming Metallurgy College ›› 2023, Vol. 39 ›› Issue (2): 90-.DOI: 10.3969/j.issn.1009-0479.2023.02.013
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SHI Hongliang
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Abstract: In order to improve the performance of pulse-coupled neural network ( PCNN) in image segmentation , a novel method which integrates root mean square of gray-scale threshold with PCNN, name-ly , root-mean-square of grayscale threshold PCNN ( RMS-PCNN) is proposed. In the simplified method.there is only one parameter to be determined. Furthermore, the PCNN threshold is computed only once sothat the image is segmented during an ignition process. Better performance and faster computation is dem-onstrated. The experimental results validate the effectively simplifed method on segmentation.
Key words: PCNN, image segmentation:, RMS-PCNN
CLC Number:
TP391
SHI Hongliang. A Novel Method for Image Segmentation Using Pulse Coupled NeuralNetwork Based on Root Mean Square of Grayscale Threshold[J]. Journal of Kunming Metallurgy College, 2023, 39(2): 90-.
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URL: http://kmyzxb.magtech.com.cn/EN/10.3969/j.issn.1009-0479.2023.02.013
http://kmyzxb.magtech.com.cn/EN/Y2023/V39/I2/90