搜索资源列表
SAR
- 对于不同传感器图像配准，由于成像特征不同，一直存在困难，该文档总结一些有用的不同方法的文献，适用于SAR和可将光配准-or different sensor image registration, due to the different imaging characteristics, there has been difficult, the document summarizes some useful method literature for SAR and optical regis
stitch
- 图像融合，通过特征提取进行配准，最终实现视频图像的拼接-Image fusion
PCA-SIFT
- 特征提取代码，提取pca_sift特征，用于图像特征提取，图像配准或匹配，可供做这方面研究的同学参考。-feature extraction image matching
tezhengkongjian
- 这个文件是图像配准中的几种特征空间的方法-This file is the method of image registration in several feature space
ImageProcessing
- 数字图像处理与识别。包括图像显示、增强、复原、编码、配准、分割、特征提取、图像识别等。-Digital image processing and recognition. Including image display, enhancement, restoration, coding, registration, segmentation, feature extraction, image recognition.
OpencvProject
- 目前网上用MSER做图像配准的代码资料较少，特上传此代码做学习交流。欢迎业内同仁共同讨论研究，本代码采用opencv自带的mser特征提取方法，并对该特征进行sift椭圆表达，在配准时使用ransac算法进行提纯。因为时间有限，未考虑LM光束法平差约束，日后进行添加。-MSER
PhaseCongruency
- 提取图像相位一致性特征，进行图像配准，内附实验图片-Image feature extraction phase coherence
registrate
- 很好的图像配准程序，适用于多种格式，简单，特征点请分散选取-Good image registration procedures applicable to a variety of formats, simple, decentralized please select feature points
Visual-CPP-
- 有MFC框架的图像处理代码，可以实现图像显示，图像增强，图像复原，图像变换，图像编码，图像配准，运动检测，特征提取，图像分割，图像识别等功能-There MFC framework of the image processing code, you can realize image display, image enhancement, image restoration, image transform, image coding, image registration, motion de
Image-mosaic-based-matlab
- 本代码采用的是利用MATLAB实现两幅图像的拼接，包括从读取两幅有共同特征点的图像、提取特征点、图像配准和图像整合等过程。采用取平均值法，达到有效的消除图像拼接缝隙、提高图像拼接质量的目的。-The averaging method of average which can achieve the aim that eliminate the image mosaic gap and improve the quality of the purpose of image stitching is
Multi-source-image-registration-
- 将常见的图像配准方法分为基于图像灰度的方法和基于图 像特征的方法两大类。 以此为分类基础， 对国内外现有的图像配准技术和方法进行了分析和评述， 并重点介绍了基于图像特征的配准方法。-The common method for image registration based on image gray into the methods and methods based on image features two categories. As a classification based
Research--infrared-and-visible-light
- 首先简述了图像配准 的一般方法,分为基于图像区域的配准方法和基于图像特征的配准方法, 重点述评了局部不变 特征方法中的 SI FT算法和 SURF算法 -The first outlines the general method of image registration is divided into regions based on image registration method and image-based registration method characteristic
The-wavelet-transform
- 利用小波变换来提取特征点，主要是通过小波系数的比较，提取关键点，再通过关键点匹配，实现图像配准。-Using wavelet transform to extract feature points, mainly through the comparison of wavelet coefficients, extract key points, and then through the critical point matching, to achieve image registration
image-mosaic
- 用于图像拼接，将两幅带有重叠区域的两幅图像，首先寻找它的SIFT特征点，然后根据它的特征点进行图像配准，最后再对图像进行拼接。-For image mosaic of two images, two images with overlapping area, first find the SIFT feature of it, then the image registration based on feature points of it, then the image mosaic.
DeformableRegistration2
- 图像配准中最有挑战的是图像包含不同的形态特征。这种情况下，直接比较灰度水平的方法是不可行的。交互信息的评估很好地克服了多模态配准的困难。-Some of the most challenging cases of image registration arise when images of different modal-ities are involved. In such cases, metrics based on direct comparison of gray level
IterativeClosestPoint1
- PointSet-to-PointSet配准是医学图像分析中的一个普遍问题。通常建立在点从图像中提 取出来并用于建立图像之间的空间通信。这种配准类型被看做是基于配准特征的最简单情 况。在一般情况下，到目前为止，基于配准的特征是我们介绍的更加有效的表示亮度的方法。然而，基于配准的特征产生了从图像中确定和提取特征的新问题，这也是一个很大的挑战。-PointSet-to-PointSet registration is a common problem in medical image ana
SIFT
- 用SIFT算法实现了刚性和非刚性图像的配准 并且效果非常理想 SIFT的特征点的提取 描述 和匹配的算法有注释-Nonrigid Registration Using Free-Form Deformation.
motionest
- 用于快速图像配准，利用SURF提取特征点。 -For fast image registration, Use SURF to Find Matching Features
meanshift
- 基于MEANSHIFT的图像分割技术 简单检测图像区域特征 可用于图像配准 -Image segmentation technology based MEANSHIFT simple image area detection feature can be used for image registration
registration-
- 这个是使用MATLAB实现的图像的配准，对于图像的特征点可以很好的找出来。-This is achieved using MATLAB image registration, the feature points of the image can be good to find out.