PCNN IMPLEMENTATION AND APPLICATIONS IN IMAGE PROCESSING
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TP391

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    Abstract:

    The PCNN implementation and applications in image processing were discussed, For the specific implementation of PCNNs, a PCNN was forced to be a single pass network. And simplified model, look-up threshold table, and integer operation were used to decrease the time complexity. The time-index image and fingerprint time series were introduced into PCNNs, and a PCNN was combined with the traditional techniques of image processing for automatic image processing, e.g. image enhancement, edge detection, image segmentation and feature extraction, by the time-index image. The applied conditions are derived for perfect image processing, and a practical estimation of the linking coefficient is proposed, which helps to determine PCNN parameters directly.

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Fang Yong;Qi FeiHu;Pei BingZhe. PCNN IMPLEMENTATION AND APPLICATIONS IN IMAGE PROCESSING[J]. Journal of Infrared and Millimeter Waves,2005,24(4):291~295

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History
  • Received:August 11,2004
  • Revised:August 11,2004
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