搜索资源列表
Hausdorff_Distance
- 提出了利用小波分解建立多分辨率图像锥和Hausdorff距离的医学图像配准方法。先利用小波方法建立多分辨率图像锥, 然后根据梯度向量幅度提取分层图像的特征点, 利用Hausdorff距离进行特征点集的匹配。该方法提高了配准的速度和精度, 而且具有鲁棒性。-Image registration is the matching processing in which two or more images match from the same scene derived from different
sift-match
- SIFT特征点检测，配准、匹配，代码经验证可用-sift match ransac appendimages
mosaic
- matlab编写的基于特征点的图像配准的代码，希望对大家有用-matlab feature point-based image registration code, written in the hope that useful
GUIpionjie
- 图像拼接的MATLAB的GUI界面，包括特征点提取，图像配准，图像拼接等过程。-Image stitching MATLAB GUI interface, including feature extraction, image registration, image stitching process.
sift_MATLAB
- 基于SIFT的图像配准程序 SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力-Hot and difficult of the current research areas of domestic and foreign feature point matching based the SIFT image registration pro
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
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
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.
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
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.
test
- 利用OpenCV实现两幅图像特征点描述配准问题-using OpenCV library to match two image s feature.
registration
- 基于联合相似测度的SAR图像边缘点特征配准方法-Based on a similar measure joint SAR image edge point feature registration method
harris
- 基于harris角点检测的图像配准方法，角点作为图像上的特征点,包含有重要的信息。-Image registration method based on harris corner detection, corner as feature points on the image, contains important information.
sift
- 提取SIFT特征点，配准拼接的代码，能运行-detect sift features
image-matching-using-surf-and-ransac
- 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 descr iptor, then according to the results, the coars
SIFT
- sift可对两幅图像进行对齐，配准，找出对应的特征点，画线，对进行拼接-Sift the two images aligned to registration, find out the corresponding feature points, line drawing, for stitching
harris
- 使用特征点来代表图像的内容，运动目标跟踪，物体识别，图像配准，全景图像拼接，三维重建-The use of feature points to represent the content of the image, moving object tracking, object recognition, image registration, image mosaics, 3D reconstruction