ModuleforImageRebuilt

通过直线拟合进行钻石角度的测量，包括二值化，边缘检测，直线拟合最后进行数学算法进行角度测量(Measurement of Diamond Angle by Linear Fitting)

去雾处理，可以生成深度图和去雾后的图像 用matlab实现(To fog treatment, can generate a depth map and to fog the image after the realization of using matlab)

三维重构的程序，包括角点检测，匹配，F矩阵的计算等(Three-dimensional reconstruction procedures, including corner detection, matching, F matrix calculation)

数字全息图聚焦评价函数,当图像聚焦时，评价函数值会达到最大值(the auto-focusing evaluation function of the digital hologram)

对于存在块效应图像进行质量评价 matlab程序 比较适合初学者(For the existence of blocking matlab image quality evaluation procedures are more suitable for beginners)

用于SAR图像的相干斑抑制，内有增强Lee滤波，增强Kuan滤波，增强GammaMap滤波算法，还有等效视数，边缘保持指数的求法(For speckle suppression of SAR images, there are enhanced Lee filtering, enhanced Kuan filtering, enhanced GammaMap filtering algorithm, and the calculation of ENL and EPI.)

说明：  运动图像的目标检测，用的是MATLAB软件实现的(The object detection of moving image is realized by MATLAB software)

说明：  裁剪图像为固定大小，非常简单，只需要设定图像裁剪起始位置以及图像裁剪大小即可，非常方便。(It is very simple to crop the image to a fixed size. It is very convenient to set the starting position and size of the image clipping)

这是一款适用于初学者的应用程序,它可以帮助我们处理图形图像(This is a beginner for the application, it can help us to deal with graphic images)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )