一种遗传-模糊神经网络图像滤波器

提出了一种新的模糊神经网络与遗传算法相结合的非线性图像滤波器 ,通过有效的编码方案 ,遗传算法可以在很短的进化代数内完成对网络参数的学习。包含于网络中的模糊推理有效地恢复了受污染的像素点 ,同时并不降低原始图像的品质。仿真实验表明 ,该滤波器对冲击噪声有很好的滤除效果 ,明显地优于传统的图像滤波器

A GA Fuzzy Neural Network Image Filter

A new nonlinear image filter using fuzzy neural network based on genetic algorithm is proposed.The learning of network parameters is performed by genetic algorithm with the efficient binary encoding scheme.In the following,fuzzy reasoning embedded in the network aims at restoring noisy pixels without degrading the quality of fine details.It is shown by simulation that the filter is very effective in removing impulse noise and significantly superior conventional filters.