GSO-matlab

小波变换去噪和轮廓波变换去噪，两种方法比较，通过psnr来评价(wavelet and contourlet，image denoise)

利用matlabde实现双目立体视觉中，对应图像对的深度信息的获取 （区域匹配算法实现）。(Use of matlab binocular stereo vision, corresponding to the depth of the image information )

基于Curvelet变换的样本块图像修复算法提高现有样本块修复算法性能。首先利用Curvelet 变换估计待修复图像的4方向特征．然后利用颜色信息与方向信息共同衡量样本块间的相似度，在此基础上构造颜色-方向结构稀疏度函数．(Based on the sample block transform image restoration algorithm Curvelet enhance existing sample block repair algorithm performance. Firstly Curvelet transform estimated to be repaired 4 directional characteristics of the image. Then use the color information and direction information together measure the similarity between the sample block, constructed on the basis of color- direction sparsity structure function.)

用于图像检测的正态分布计算的c代码实现，现在将这个函数写在头文件中了(Normally distributed computing for image detection of the c code, this function will now be written in the header file in the)

说明：  图像处理小工具箱，包括中值滤波，高斯滤波，均值滤波，canny边缘提取等小程序(Image processing toolbox, including median filter, gaussian filter, mean filter, canny edge extraction and other small procedures)

说明：  在ENVI中利用此程序可将多光谱影像拆分为单个波段。(In ENVI, multi-spectral images can be divided into single bands by using this program.)

读取一24位彩色图像，计算其以下图像特征： 1）灰度直方图 2）颜色直方图（RGB3个通道） 3）方向梯度直方图（HOG，将图像分成4*4 16个块，8个梯度方向） (Read a 24-bit color images, calculate the following image features: 1) Histogram 2) color histogram (RGB3 channels) 3) histogram of oriented gradients (HOG, the image is divided into 4* 4 16 blocks, 8 gradient directions))

图像的几何变换，基于VC++的MFC的。旋转、放大、缩小等(Image geometric transformation, based on the VC++ the MFC. Rotate, zoom in, zoom out, etc.)

马尔可夫（MRF）图像分割MATLAB源码,有30几个函数。Markov随机场的例子程序,对于初学MRF的人很有用,能得到直观的印象(Markov (MRF) image segmentation MATLAB source code, 30 a number of functions. Markov random field example of the procedure, for beginner person MRF useful that they can get a visual impression)

用Matlab实现的Canny边缘检测算法，压缩文件中附有一张实验图片(Using Matlab realize the Canny edge detection algorithm, compressed file attached to an experimental image)