【摘要】 根据遗传算法可以搜索全局最优的特点,提出了一种基于遗传算法优化模糊隶属函数,从而对带有脉冲噪声的图像进行模糊中值滤波的方法。虽然模糊逻辑可以很好用于图像处理,但它的隶属函数很难准确的选取,通过遗传算法对已知样本图像进行学习,找到最优的隶属函数,然后用该隶属函数对需要处理的噪声图像进行滤波。实验表明,提出的方法可以很好地滤除图像中的脉冲噪声,自适应强。更多还原

【Abstract】 Since Genetic Algorithm(GA) is an efficient tool for search optimization and machine learning,the method is proposed to optimize the membership function by GA to filter the impulse noise of the image.Though the fuzzy logic can deal with digital image,its membership function is not easy to confirm.By learning to the sample images,GA can ascertain the optimum membership function.Using this membership function,fuzzy median filter can filter the impulse noise of other images satisfied.更多还原