基于遗传算法的模糊图像增强效果的研究
首发时间:2010-04-06
摘要:为了将模糊图像直接转化为比较清晰的图像,本研究选择图像像素灰度的相对等级作为模糊特征,运用模糊数学的概念,对图像进行模糊映射,建立图像的模糊特征平面,采用模糊变换的方法进行增强处理。采用遗传算法自动选择最佳的模糊参数,经模糊数学运算,用于模糊图像的增强。实验结果表明采用基于遗传算法的图像模糊增强算法,可以根据不同的图像自动选择最佳的模糊参数,图像质量得到了改善,突出图像的细节,有效地实现了图像的增强效果。
For information in English, please click here
A study of Fuzzy Image Enhancement Based on Genetic Algorithm
Abstract:In order to achieve the image fuzzy enhancement, with the citation of fuzzy mathematics, image fuzzy enhancement is to select the relative gray level of image pixel as fuzzy features, and establish the fuzzy characteristics plane of the image by fuzzy mapping, and achieve the enhancement of image by fuzzy transformation. The results of experiment show that, the best fuzzy parameter of different images are automatically selected by the method, and it can improve the quality of images, prominent the details of images, and effectively realize the enhancement of images。
Keywords: Image enhancement Fuzzy mathematics Genetic algorithm
论文图表:
引用
No.4157852107612705****
同行评议
共计0人参与
勘误表
基于遗传算法的模糊图像增强效果的研究
评论
全部评论0/1000