中值滤波器的神经网络实现

Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Pub Date : 1989-06-01 DOI:10.1109/PACRIM.1989.48414

P. Shi, R. Ward

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引用次数: 3

摘要

提出了一种求非负整数数组中位数的并行神经网络。网络的处理时间等于5个神经元的时间延迟。无论数组中有多少个元素，这个值都是常数。这与传统的串行和并行实现形成对比，其中延迟时间随着阵列变大而增加。该网络使图像和视频图像的实时增强成为可能。

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A neural network implementation of the median filter

A parallel neural network for finding the median of an array of nonnegative integers is proposed. The processing time of the network is equal to the time delay of five neurons. This is constant irrespective of the number of elements in the array. This is in contrast with the conventional serial and parallel implementations where the delay time increases as the array gets larger. The proposed network makes the real-time enhancement of images and video pictures possible.<>

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Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing

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