deburle_cp_1

用C语言解决TSP问题的源程序是我大二选修数学建模课,课程结束后做大作业也就是选择一个题目,解决一个问题,我选择的是TSP()

说明：  基于场景的RLS的非均匀校正算法，不同均值滤波器比较。(Scene based RLS nonuniformity correction algorithm, different mean filter comparison.)

对两幅图像进行配准，分别提取两幅图像的surf特征点以及描述子，得到粗匹配结果，然后根据粗匹配结果，采用ransac方法计算基础矩阵，并去除误匹配点，得到较准确匹配结果(Two image registration, surf was extracted from the feature points in two images to get the coarse matching and descriptor, then according to the results, the coarse matching results, using RANSAC method to calculate the fundamental matrix, and eliminate the error matching, gain a more accurate matching results)

cvpr2012_oral On Multiple Foreground Cosegmentation(In this paper, we address a challenging image segmentation problem called multiple foreground cosegmentation (MFC), which concerns a realistic scenario in general Webuser photo sets where a finite number of K foregrounds of interest repeatedly occur over the entire photo set, but only an unknown subset of them is presented in each image. This contrasts the classical cosegmentation problem dealt with by most existing algorithms, which assume a much simpler but less realistic setting where the same set of foregrounds recurs in every image. We propose a novel optimization method for MFC, which makes no assumption on foreground configurations and does not suffer from the aforementioned limitation, while still leverages all the benefits of having co-occurring or (partially) recurring contents across images. Our method builds on an iterative scheme that alternates between a foreground modeling module and a region assignment module, both highly efficient and scalable. In part)

说明：  小波变化是对傅里叶变换和短时傅里叶变换的一个突破，其改变就在于，将无限长的三角函数基换成了有限长的会衰减的小波。(Wavelet transform is a breakthrough of Fourier transform and short-time Fourier transform. Its change lies in that the infinite trigonometric function base is replaced by the finite attenuation wavelet.)

本算法为经典的criminisi算法，直接可以用于图像修复，资料中含有测试图片，测试效果明显，可以直接运行。(It is the classic criminisi algorithm and can be directly used for image inpainting, the data contains test pictures, the test results are obvious, the code can be run directly.)

目前生成全息图主要有傅里叶和菲涅尔变换，此代码为利用菲涅尔变换将二维图片生成菲涅尔全息图，以达到图像加密的功能。(The current generated hologram mainly Fu Liye and Finel transform, the code for the use of Finel transform two-dimensional images generated Finel hologram, in order to achieve the function of image encryption.)

关于CCD相机的选型，帧率，幅宽，曝光时间(CCD CAMERA)

采用Graph Cut算法进行multiple-label的图像分割，算法很完整，非常适合初学者以及开发人员参考(multiple-label image segmentation using Graph Cut based algorithm, suitable for beginners and developers)

用于运动人体的图像特征提取，提取的特征包括，高宽比，速度，紧密度，灰度共生矩阵，hu矩，主成分分析，离散余弦变化，图像的预处理等。(Image feature extraction for moving human body includes features such as aspect ratio, speed, tightness, gray level co-occurrence matrix, Hu moments, principal component analysis, discrete cosine transform, image preprocessing and so on.)