3105130

双目匹配计算视差，生成深度图。（前提是用自己标定好的摄像头拍的图片，导入内外参数然后进行立体匹配）(Binocular matching calculates parallax and generates depth map.(The premise is to take a picture with your own calibrated camera, import internal and external parameters, and then stereo matching))

使用Harris角点检测方法进行图像特征点提取,NCC描述的方法进行粗匹配,再使用RANSAC算法进行精匹配。(Using the Harris corner detection method to extract the feature points of the image, the NCC description method performs rough matching, and then uses the RANSAC algorithm for fine matching)

处理图像，利用提出高频的方法，把图像中的裂纹提取出来。能比较好的把背景图像和裂纹分割开来。(Processing images, the use of the proposed high-frequency method of the cracks in the image extracted. Good background image and crack separated.)

这是我花了很多时间收集的有关sift-pca资料哦，里面也包括了sift-pca的MATLAB代码(This is what I spent a lot of time to collect information about the sift-pca Oh, which also includes a sift-pca MATLAB code)

说明：  在图像恢复技术中，总变分最小化是一种以保存图像细节为目标的规整化复原方法。本算法基于总变分最小化的思想，采取交替最小化的精确迭代策略来对图像和点扩展函数同时进行恢复。实验表明，该算法在噪声水平较高的情况下仍能对图像进行稳健的恢复。(Total variation image restoration techniques is a goal to save the image detail regularization recovery method. Algorithm based on total variation minimization thinking, take the alternating minimization accurate iteration strategy to simultaneously restore the image and point spread function. The experiments show that the algorithm in the case of high noise levels can still robust recovery image.)

对图像进行反转，这是图像传统的增强方法，是对像素点的增强。(Invert the image, which is the traditional method for enhancing an image, the pixel point is increased.)

有关pca算法方面的学习，有利于pca算法原理的实现(something related to the study of pca)

测距的相关内容以及采用三角测量的方法测量出来(Ranging content and the use of the triangulation method is measured)

基于meanshift算法的目标跟踪，主要是基于opencv车辆跟踪！！！程序当中进行简单的图像分割(Based on the meanshift algorithm of image segmentation and target tracking.)

说明：  基于L1范数的多帧图像超分辨率图像重建算法，在原有算法基础上改进，提高重建精度和效率。(Based on the L1 norm of the multi-frame image super-resolution image reconstruction algorithm, the improvement on the basis of the original algorithm to improve the reconstruction accuracy and efficiency.)