目的:探讨小波分析在医学图像增强方面的应用价值.方法;采用MATLAB 6.5对512×512的CT图像进行实验,依据医学图像特点改进了图像子带小波增强算法,并将结果与常规的图像增强算法进行对比.结果及结论:实验证明:改进的图像子带小波算法可以增强图像的细节特征,并且适合人的视觉特性,提升了医学图像的清晰度,可有效避免平坦区域噪声过度增强的问题.通过实验证明文中采用方法有一定的实践价值和意义.%Objective: The study is to probe the practical value of wavelet analysis in the field of medical image enhancement. Methods: The experiment employs MATLAB 6.5 to analyse 512×512 CT image, based on the feature of medical CT image, improved the Image Sub-Band Enhancement Algorithm based on wavelet analysis,and contrasted with normal image enhancement. Results&Conclusions: The experiment proved that the improved algorithm enhance the detailed feature of the image, conform to the property of human vision, improve the clarity of the image, and effectively avoid the over-enhancement of the noise in the flatness area. The result of the experiment indicates that the method possesses a certain practical value.
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