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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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A Novel Method for Image Segmentation Using Pulse Coupled NeuralNetwork Based on Root Mean Square of Grayscale Threshold

SHI Hongliang   

  1. ( Faculty of Electrical and Mechanical Engineering, Kunming Metallurgy College , Kunming 650033, China)
  • Received:2023-02-13 Online:2023-04-30 Published:2023-11-15

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

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