imageevaluation

图像拼接及柱面全景图生成算法研究 图像拼接及柱面全景图生成算法研究(Image mosaicing and cylinder panorama generation algorithm is studied)

BM3D去噪算法的实现和相关文档，很好的去噪算法(Image and video denoising by sparse 3D transform-domain collaborative filtering Block-matching and 3D filtering (BM3D) algorithm )

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)

说明：  classic goldstein filter by matlab for interferogram phase noise filtering(classic goldstein filter by matlab)

求解图像的穆勒矩阵及其极分解矩阵，还有矩阵分析参数(Muller matrix and polar factorization matrix for solving image)

说明：  SAR图像变化检测代码，基于差异图和比值图融合的(SAR image change detection code, based on the ratio of different maps and map integration)

混合高斯模型使用K（基本为3到5个） 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。通观整个高斯模型，他主要是有方差和均值两个参数决定，,对均值和方差的学习,采取不同的学习机制,将直接影响到模型的稳定性、精确性和收敛性。由于我们是对运动目标的背景提取建模，因此需要对高斯模型中方差和均值两个参数实时更新。为提高模型的学习能力,改进方法对均值和方差的更新采用不同的学习率 为提高在繁忙的场景下,大而慢的运动目标的检测效果,引入权值均值的概念,建立背景图像并实时更新,然后结合权值、权值均值和背景图像对像素点进行前景和背景的分类。(Gaussian mixture model using K (essentially 3-5) Gaussian model to characterize the features of each pixel in the image, in the image of the new frame for updated Gaussian mixture model, with each pixel in the image with a Gaussian mixture current model matching, if successful, determined that the point of the background points, otherwise the former attraction. Throughout the entire Gaussian model, he mainly has two parameters determine the variance and the mean, the mean and variance of the study, to take a different learning mechanism, will directly affect the stability, accuracy and convergence model. Since we are moving object extraction of the background modeling, so the need for the Gaussian model variance and mean two parameters real-time updates. In order to improve the learning ability of the model, an improved method for updating the mean and variance of different learning rates to improve in the busy scene, large and slow moving object detection results, the introduction of)

两个掌纹识别的MATLAB程序，非常有用(Are two palmprint identification MATLAB program, very useful)

说明：  地形分块下的匹配导航算法仿真程序，算法包括最优分块算法和匹配定位算法的仿真(Simulation program of matching navigation algorithm under terrain block, including the simulation of optimal block algorithm and matching positioning algorithm)

本书是计算机视觉编程的权威实践指南,依赖 Python 语言讲解了基础理论与算法,并通过 大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、 立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。(This book is an authoritative guide to computer vision programming, which explains basic theories and algorithms based on the Python language.A large number of examples carefully analyze object recognition, content based image search, optical character recognition, optical flow, tracking, 3D reconstruction,Stereoscopic imaging, augmented reality, attitude estimation, panoramic creation, image segmentation, noise reduction, image grouping and other techniques.)