Hypergraph-edge-detection

道路提取，设置初始的点，输入图像，snake 模型(Road extraction, set the initial point, input image, snake model)

说明：  图形界面计算psnr和ssim，直接输入原始图像和处理后的图像的psnr和ssim值，分别在Y通道和RGB通道(The graphical interface calculates PSNR and ssim, and directly inputs the PSNR and SSIM values of the original image and the processed image in Y channel and RGB channel, respectively)

将一副图像进行压缩并重现，使用dct测量矩阵，高斯随机矩阵，omp恢复算法(A pair of images were compressed and reproduce, using DCT measurement matrix, Gauss random matrix, OMP recovery algorithm)

基于mind相似性度量的图像配准，配准精度很高。效果不错。(Mind based on similarity measure of image registration, the registration precision is high. The result is right.)

首先通过多分辨率分解法提取高频边缘，然后分别对每层的高频边缘进行非线性插值得到新的高频边缘，接着对高频边缘进行高通滤波得到等强后的高频边缘，最后对增强后的高频边缘进行修正。再在对增强的图像进行对比度拉伸，从而达到增强的目的！(First of all, through the extraction of multi-resolution decomposition of high-frequency edge, and then were on the edge of each high-frequency non-linear interpolation to be the new high-frequency edge, and then the edge of the high-frequency high-pass filter to be strong, such as after the high-frequency edge, and finally on the brink of enhanced high-frequency be amended. Again in contrast enhanced image stretching, so as to achieve the purpose of enhancing!)

遗传算法与FCM算法相结合实现图像分割，分割精度较好，速度较快(A combination of genetic algorithm and FCM algorithm to achieve image segmentation, segmentation accuracy is better, faster)

说明：  计算机图形学ppt， 介绍计算机图形学基础(Computer graphics ppt, introduced the basis of computer graphics)

该压缩包里包括了一幅图像的位平面解，即一幅灰度图像可以分成八个位平面。利用它可以转化到彩取色图像中去，很有用处的。(The bag includes a compressed image bit-plane solution, that is, a gray image can be divided into eight bit-plane. Use it can be transformed into the color check color images, and useful.)

读取avi视频，并进行帧间差分法运算，检测运动目标(Read the avi video, and make inter-frame difference method for computing, moving target detection)

灰度图像质量评价，以matlab为平台，介绍了几种关于灰度图像算法的质量，以数据结果来说明图像的质量。(Gray image quality evaluation, in order to matlab as a platform to introduce several gray image algorithm on the quality of data to illustrate the results of image quality.)