fenshuiling

详细说明：几个关于图像灰度变换的程序。包括图像反色，图像的对数灰度变换，指数灰度变换，线性灰度变换，灰度切割，图像平均降噪。 (Several of the image gray-scale transformation process. Including anti-color image, the image of the number of gray level transformation, index gray-scale transformation, linear gray level transformation, gray cut, the average image noise.)

说明：  基于BP神经网络的鼠标手势识别算法与实验程序GestureStudy(BP neural network based on the mouse gesture recognition algorithm and experimental procedures GestureStudy)

说明：  基于C#的模糊雾化处理。 高斯雾化 C #-based processing of fuzzy atomization. Gaussian Atomization(C#-based processing of fuzzy atomization. Gaussian atomization C#-based processing of fuzzy atomization. Gaussian Atomization)

说明：  ENVI+C#二次开发环境搭建 主机操作系统：Windows10_x64 C#编辑器：Microsoft Visual Studio 2012 Ultimate ENVI5.3 SP1 win64+IDL8.5(ENVI+C#secondary development environment construction operating system:Windows10_x64 IDE:Microsoft Visual Studio 2012 Ultimate ENVI5.3 SP1 win64+IDL8.5)

Image processing using sobel operator

sift图像处理的一个测试的代码，他是用C++写的 用到了opencv中的一些函数(sift image processing as a test of the code, he wrote with C++ uses some of the opencv function)

选择合适的样本特征点，然后可以将特征导入svm进行分类(After the image processing, the main information is obtained by PCA transform, and then the feature of texture information selection is put forward)

基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法源代码IMAGE DENOISING USING BAYES THRESHOLDING OF WAVELET COEFFICIENTS (Based on Bayesian (BAYES) Wavelet thresholding (WAVELET) image denoising algorithm source code IMAGE DENOISING USING BAYES THRESHOLDING OF WAVELET COEFFICIENTS)

Sobel算子就是一种基于方向导数掩模求卷积的方法。通过边缘检测算子可以检测到每个像素的领域并对灰度变化率进行量化，也包括方向的确定。该代码是基于sobel算法的检测程序。(Sobel operator is a directional derivative mask and convolution methods. To each pixel and gray level in the field rate of change can be detected through the edge detection operator to quantify, including direction. The code is based on sobel algorithm testing procedures.)

利用小波熵自适应去噪并求出各层熵值（绝对值表示） 及权重，自写论文(Using wavelet entropy adaptive de-noising and the obtained layers entropy (absolute value) and weight, since writing papers)