randomly generated number and the probability of achieving algorithm is to use a...

这是一个用C实现的梯度锐化的源代码，希望给大家有点用处-This is a used C gradient sharpening realize the source code, want to give everyone a bit useless

利用阴影恢复技术重建二维数字图像到三维深度数据的重建-Use of the shadow of the resumption of technical reconstruction of two-dimensional digital image to the three-dimensional reconstruction of the depth of data

此程序用于中值滤波 采用了一定的算法 滤波效果比较好-medium

学习图像处理中活动轮廓方法的一个DEMO，很有启发-Learning image processing method of active contour a DEMO, very enlightening

实现cov2的功能，方便学习，而且可以自己修改-Achieve cov2 features, easy to learn, and can modify their own

对图像进行垂直镜像处理的源代码，在VC++6.0环境下编译通过。-right vertical mirror images of the source code, the VC 6.0 compiler through the environment.

图形变换和消隐，matlab guide编写-graphics transformation and blanking, Matlab guide prepared

速度非常块，效果接近blsgsm。堪称去噪的又一突破。 OWT SURE-LET SOFTWARE FOR MATLAB ******************************** Florian Luisier, Thierry Blu and Michael Unser Biomedical Imaging group Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland. March 2007 This software implements the algorithm described in: [1] F. Luisier, T. Blu, M. Unser, "A New SURE Approach to Image Denoising: Interscale Orthonormal Wavelet Thresholding," IEEE Transactions on Image Processing, vol. 16, no. 3, pp. 593-606, March 2007. -Very block, the effect close to blsgsm. Denoising can be another breakthrough. OWT SURE-LET SOFTWARE FOR MATLAB******************************** Florian Luisier, Thierry Blu and Michael UnserBiomedical Imaging group Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland.March 2007This software implements the algorithm described in: [1] F. Luisier, T. Blu, M. Unser,

opencv中的图像跟踪算法，能很好的追踪视频图像中的运动物体。是很不错的跟踪算法，适合初学者反复研究。-opencv image tracking algorithm, can be a very good video images to track the moving object. Is a very good tracking algorithm, suitable for beginners repeated study.

基于kmeans的图像分割算法，首先得到图像，再确定分类，并计算各分类的均值，从而得到各个像素的分类。-Kmeans-based image segmentation algorithm, first of all get the image, and then determine the classification, and calculate the various categories mean, and thus obtain the classification of each pixel.