文件名称:Genetic-algorithms-
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本文主要介绍遗传算法的基本理论，叙述遗传算法在图像增强的的主要应用，即将原始图像变得更加清晰，特征变得更加明显。
现今关于图像增强的算法有很多，而这些算法大多是基于退化函数或者点扩展函数的知识进行图像处理的。当图像出现模糊或噪声影响大时，设计出的图像清晰化的效果肯定不够理想，因此有必要对图像进行增强处理。于是，可利用到遗传算法这种成熟稳定的仿生物进化的全局寻优算法，进行图像增强，由于遗传算法控制参数少、自适应度高，将选择该方法对图像退化分别进行不同的清晰化处理. 这样既增强了图像的对比度,又克服了传统直方图均衡化处理所造成的灰度级损失等缺点。
通过实验去表明，遗传算法从全局寻优的角度出发，能够较为精确地估计退化系统函数。和传统的线性增强、直方图均衡进行比较。实验结果表明该方法能改善原图像视觉效果，便于之后的图像分析。
-This paper mainly introduces the basic theory of genetic algorithm, genetic algorithm (ga) in the main application of image enhancement, the original image is more clear, characteristic becomes more obvious.
Today about the image enhancement algorithm are many, and most of these algorithms is based on the degradation function or the knowledge of the point spread function of image processing. When the image appears fuzzy or noise influence, designed the image clarity of effect must not ideal, therefore it is necessary to enhance the image. Then, genetic algorithm is available to the mature and stable evolution of the global optimization algorithm, for image enhancement, due to less genetic algorithm control parameters, since the high fitness, will choose the method of image degradation, respectively, to manipulate the different motivation. It can enhance the image contrast, and overcome the traditional histogram equalization processing grayscale loss caused by the faults.
Throug
现今关于图像增强的算法有很多，而这些算法大多是基于退化函数或者点扩展函数的知识进行图像处理的。当图像出现模糊或噪声影响大时，设计出的图像清晰化的效果肯定不够理想，因此有必要对图像进行增强处理。于是，可利用到遗传算法这种成熟稳定的仿生物进化的全局寻优算法，进行图像增强，由于遗传算法控制参数少、自适应度高，将选择该方法对图像退化分别进行不同的清晰化处理. 这样既增强了图像的对比度,又克服了传统直方图均衡化处理所造成的灰度级损失等缺点。
通过实验去表明，遗传算法从全局寻优的角度出发，能够较为精确地估计退化系统函数。和传统的线性增强、直方图均衡进行比较。实验结果表明该方法能改善原图像视觉效果，便于之后的图像分析。
-This paper mainly introduces the basic theory of genetic algorithm, genetic algorithm (ga) in the main application of image enhancement, the original image is more clear, characteristic becomes more obvious.
Today about the image enhancement algorithm are many, and most of these algorithms is based on the degradation function or the knowledge of the point spread function of image processing. When the image appears fuzzy or noise influence, designed the image clarity of effect must not ideal, therefore it is necessary to enhance the image. Then, genetic algorithm is available to the mature and stable evolution of the global optimization algorithm, for image enhancement, due to less genetic algorithm control parameters, since the high fitness, will choose the method of image degradation, respectively, to manipulate the different motivation. It can enhance the image contrast, and overcome the traditional histogram equalization processing grayscale loss caused by the faults.
Throug
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下载文件列表
Genetic algorithms in the application of image enhancement/
Genetic algorithms in the application of image enhancement/GA算法实现程序/
Genetic algorithms in the application of image enhancement/GA算法实现程序/evaluate_image_opt.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/f.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/ga_image_opt.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/image.bmp
Genetic algorithms in the application of image enhancement/GA算法实现程序/image_optimization.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/imevaluate.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/init_ga.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/mutate.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/myint.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/sunlightopenpic.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/upgate.m
Genetic algorithms in the application of image enhancement/gx.png
Genetic algorithms in the application of image enhancement/image.jpg
Genetic algorithms in the application of image enhancement/拉普拉斯.m
Genetic algorithms in the application of image enhancement/直方图均衡化.m
Genetic algorithms in the application of image enhancement/遗传算法在图像增强中的应用.dotx
Genetic algorithms in the application of image enhancement/遗传算法在图像增强中的应用.pdf
Genetic algorithms in the application of image enhancement/GA算法实现程序/
Genetic algorithms in the application of image enhancement/GA算法实现程序/evaluate_image_opt.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/f.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/ga_image_opt.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/image.bmp
Genetic algorithms in the application of image enhancement/GA算法实现程序/image_optimization.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/imevaluate.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/init_ga.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/mutate.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/myint.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/sunlightopenpic.m
Genetic algorithms in the application of image enhancement/GA算法实现程序/upgate.m
Genetic algorithms in the application of image enhancement/gx.png
Genetic algorithms in the application of image enhancement/image.jpg
Genetic algorithms in the application of image enhancement/拉普拉斯.m
Genetic algorithms in the application of image enhancement/直方图均衡化.m
Genetic algorithms in the application of image enhancement/遗传算法在图像增强中的应用.dotx
Genetic algorithms in the application of image enhancement/遗传算法在图像增强中的应用.pdf
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