Deblurring-Images

基于SURF算法的图像拼接程序，执行效率高于SIFT算法(Executive efficient than SIFT algorithm based on the the SURF algorithm of image stitching procedure)

说明：  本设计是基于MATLAB GUI界面的特效处理系统。配一篇配套论文。探讨了包括色彩调整、代数运算、几何运算、滤镜效果、艺术效果、扭曲效果和风格化七个模块的处理。色彩平衡可以按照特定要求改变图像中每个像素的亮度值；代数运算可以对两幅图象进行代数运算；几何运算可以对图象进行简单的形状处理；滤镜效果是针对相临像素间的关系来处理每个像素，达到一种特殊的效果。艺术效果是可以将图象加工成精美的“艺术品” ；扭曲效果可以对图像进行变形处理；风格化属于破坏性滤镜，通过置换像素生成绘画或印象派的效果。(This design is a special effect processing system based on Matlab GUI interface. With a supporting paper. This paper discusses the processing of seven modules, including color adjustment, algebra operation, geometry operation, filter effect, art effect, distortion effect and stylization. Color balance can change the brightness value of each pixel in the image according to specific requirements; algebraic operation can carry out algebraic operation on two images; geometric operation can carry out simple shape processing on the image; filter effect is to process each pixel according to the relationship between adjacent pixels to achieve a special effect. The artistic effect is that the image can be processed into exquisite "artwork"; the distortion effect can be used to transform the image; the stylization belongs to the destructive filter, and the effect of painting or impressionism can be generated by replacing pixels.)

说明：  NDVI最大值合成法批量计算Python代码(Python Code for Batch Computing by NDVI Maximum Composition Method)

说明：  一份HDR rendering的code。绝对非常好，是从公司里面偷偷拿出来的(HDR rendering of a code. Definitely very good, is from the company secretly come inside)

图像工程作业3：基于视词袋模型的场景识别 (Scene recognition with bag of words)(Image Engineering Job 3: Scene Recognition Based visual bag of words (Scene recognition with bag of words))

织物疵点检测和识别系统.采用2中方法，有gui界面，支持实际纺织物的检测(Fabric defect detection and identification systems. Using 2 methods, gui interface, support for the detection of the actual textile)

用Matlab来实现PCA，并分别求出图像在第一、二、三主分量上的投影。(Using Matlab to implement PCA, and images were obtained in the first, second and third principal component on the projection.)

说明：  n个点电荷电场线的matlab仿真 分别有1个 2个等（可以通过改变程序数字来得到相应的仿真结果）(Matlab simulation of N-point charge electric field lines)

基于分水岭自动选取种子的区域生长来进行彩色图像分割(Automatically selected based on the watershed to the seed region growing for color image segmentation)

说明：  使用python语言实现多张图像的拼接，并且处理拼接之后的裂缝和黑边。(Use python language to achieve splicing of multiple images, and deal with cracks and black edges after splicing.)