san-zhen-cha-fen

说明：  《数字图像处理与机器视觉:Visual C++与Matlab实现》5 图像分割,霍夫变换,Hough变换直线检测的Matlab实现(&quot Digital image processing and machine vision: Visual C++ and Matlab to achieve&quot 5 image segmentation, Hough transform, Hough transform line detection of the Matlab implementation)

使用马尔可夫随机场进行图像分割，包括标记场、特征场建模和参数估计等，程序可运行。(image segmentation Using Markov random field , including label Field, features field modeling and parameter estimation, the program can run.)

数字图像处理中的滤波和傅里叶压缩，包括理想低通滤波器，巴特沃茨高通滤波器，高斯带通滤波器，高斯带阻滤波器，FFT图像压缩。附原图像和处理后的图像截图。(Digital image processing in filtering and Fourier compression, including the design of an ideal low-pass filter, design Batewoci high-pass filter, bandpass filter design Gaussian, Gaussian band stop filter, FFT image compression. Attached to the original image and processed image capture.)

红外和可见光图像配准和融合算法，采用仿射变换(Registration and fusion of infrared and visible images)

遥感影像可以用TIFF文件表示，为了读取遥感影像，可以使用python读取TIFF文件并进行重排(Remote sensing images can be represented by TIFF files. In order to read remote sensing images, TIFF files can be read and reshapeed by using Python)

说明：  使用matlab搭建神经网络，从单目图像中估计深度值(Using matlab to build a neural network to estimate depth from monocular images)

说明：  对一副已经给出的图像进行中值滤波处理，利用罗伯特算子、索伯尔算子、canny算子、拉普拉斯算子，分别进行边缘检测。 具体见说明文档。(A given image is processed by median filter. Robert operator, Sobel operator, Canny operator and Laplace operator are used for edge detection. See the instruction document for details.)

基于SIFT+Kmeans+LDA的图片分类器的实现源码。 博文参考：http://www.cnblogs.com/freedomshe/archive/2012/04/24/2468747.html(The pictures classifier based on SIFT, Kmeans and LDA. Blog Reference: http://www.cnblogs.com/freedomshe/archive/2012/04/24/2468747.html)

图像去噪，去除图像的噪点 图像去噪，去除图像的噪点(Image Denoising)

在VS2012平台上利用C++语言和opencv实现对图像的分块，并保存分块图像(Using the C++ language and OpenCV to block the image on the VS2012 platform and save the block image)