chepai

EM算法是最为经典的统计图像分割方法，代码基于matlab，使用EM算法实现图像分割,源代码加实例图像，非常好用(By using EM algrithm to realize the segementation of image)

遥感数字图像处理基础 遥感数字图像处理基础(yao gan shu zi tu xiang chu li ji chu)

说明：  K均值作为图像分割的经典算法，新手必学算法。利用K均值进行图像分割，关于分类个数可以进行人为设定。(As a classical algorithm for image segmentation, k-means is a must-learn algorithm for beginners. The k-means is used for image segmentation, and the number of classification can be set artificially.)

利用Mean-shift进行平滑处理，主要是对图像进行平滑的界面，MFC和OpenCV进行混合编程……(Mean-shift smoothing, image smooth interface, the MFC and OpenCV mixed programming ...)

高斯分布二维的数据的产生和画图函数，供数据仿真分析用(Two-dimensional Gaussian distribution of data generation and drawing functions, for simulation data analysis)

用lbp实现纹理特征提取，并分类说明: 一共有三个m文件，一个是lbp.m, 存放主要的lbp算法， 一个是getmapping,用以做算法的辅助函数， 一个是lbptest.m,存放着测试代码。 这三个文件需要放到同一个文件夹，并在文件夹中添加相应的图片， 具体的图片名字见lbptest.m的代码，运行lbptest.m可以查看结果。代码最后给出效果图 这三个文件是最传统的LBP方法，有256种。(With lbp achieve texture feature extraction and classification Description: A total of three m files, one is lbp.m, store the main lbp algorithm, One is getmapping, helper functions for doing arithmetic, One is lbptest.m, kept the test code. These three documents need to put the same folder, and add the appropriate folder, pictures, See lbptest.m specific name of the picture of the code, run lbptest.m can view the results. Finally renderings code These three documents are the most traditional LBP method, there are 256 kinds.)

指纹灰度图像的matlab代码，文件附带指纹图像(Gray-scale fingerprint image matlab code, documents attached to the fingerprint image)

利用卷积神经网络进行特征提取，并将卷积特征可视化(Feature extraction using convolutional neural networks and visualization of convolution features)

多光谱成像，压缩编码孔径成像，数据立方体获取，图像重建(multispectral CCA imaging)

本人用matlab自己做的图像分裂合并程序，主要对印章图像进行处理．(own image split the merger process, mainly to seal image processing.)