BP-Classification

用均值滤波、中值滤波、维纳滤波法给加高斯噪声的图像去噪(Using the mean filter, median filter, Wiener filter to add the Gaussian noise image denoising)

图像融合评价程序，通过均值，标准偏差，熵，梯度，相关系数，光谱扭曲度等多个指标对融合图像进行评价比较。(image fusion evaluation procedures, the mean, standard deviation, entropy, gradient, and the correlation coefficient. spectral distortion degree of integration of various indicators to evaluate the comparative images.)

说明：  用python实现傅里叶的快速变换，实现与传统傅里叶变换不同的快速傅里叶变换，也使用了一些图形界面设计(Using Python to realize the fast Fourier transform, which is different from the traditional Fourier transform, and also using some graphic interface design)

我自己做的一个bmp文件进行24位真彩转256灰度和二进制的程序，并能用sobel算法，识别物体的边界。 (I myself make a bmp file for 24-bit true color to 256 gray-scale and binary procedures and sobel algorithm can be used to identify object boundaries.)

一个很好的PCA程序。它可用于数据的降维，消噪及特征提取。(A good PCA procedures. It can be used for data dimensionality reduction, de-noising and feature extraction.)

这个是INSAR图像处理的matlab工具箱，里面包含了很多有用的函数，对我们非常有帮助。(This is the INSAR image processing toolbox, which contains many useful functions, very helpful to us.)

彩色图像处理 格式转化rgb2hsi，hsi2rgb 冈萨雷斯(AN M-function fro converting from RGB TO HSI, HSI to RGB)

检测皮肤代码。主要包括图像读入，大小变换，格式转换，图像滤波，颜色空间转换，皮肤模型，去除少像素连同区域以及膨胀作用(face detection based on skin model)

无线传感器网络，泛洪算法。每一轮次每个节点向中心节点发送数据。最后的生成图像为节点的死亡数。(Wireless sensor networks, the flooding algorithm. Each round, each node sends data to the central node. The final generated image is the node numbers of death.)

能够很好的实现车牌定位的matlab源程序.但是不能实现车牌字符分割(Able to realize a very good source matlab plate positioning. But not license plate character segmentation)