processing image brightne

包括图像的灰度变换，laplacian锐化，中值滤波，加权中值滤波，自适应滤波，添加噪声以及图像的平滑和反色处理，图像处理效果良好-Including images of gray-scale transformation, laplacian sharpening, median filtering, the weighted median filter, adaptive filter, add noise and image smoothing and anti-color processing, image processing results

《几何偏微分方程应用于图像处理》中P_M方程的显式实现方案-"geometric partial differential equations used in image processing," P_M equation Explicit Implementation

我编写的教学用的图象处理实验指导书和VC源码，详细内容看指导书。此外辅助程序可以把一个彩色图象转变为灰度图象，因为实验内容主要是处理灰度图象的；并且辅助程序是基于Windows C编程的，可以籍此更多了解windows编程的核心机理。-I prepared teaching image processing experimental guide books and VC source, the details look to guide books. In addition auxiliary procedures can be a color image into gray-scale images, mainly because the experiments deal with gray-scale images and auxiliary procedure is based on the Windows C programming, you can take to learn more about the core of windows programming mechanism.

用VTK与VC++混合编程实现对山地形等值线的绘制，内含人脑数据-with VTK and VC mixed programming the mountain terrain contour mapping, data containing the human brain

实现图像的点运算，包括阈值变换，灰度拉伸，灰度均衡等-Realize image point computation, including the threshold transform, gray stretch, gray balance, etc.

用Visual C++编写的小波表换，小波除噪程序，可以显示信噪比，我的本科毕业设计，吐血推荐-prepared using Visual C table for the wavelet, wavelet denoising procedures can demonstrate SNR, I graduated from the undergraduate Design, hematemesis Suggest

：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.

数字图像 图形处理 利用c++ 旋转的源代码-digital image processing using graphics c rotating source code

对图像进行遥感伪彩色处理的源代码，编译后的可执行文件须带参数运行-of remote sensing images pseudo-color processing of source code, the compiled executable file parameters required to bring Operation

purebasic编写的图像处理程序，国内罕见-purebasic prepared image processing procedures, the domestic rare