搜索资源列表
ImageMatch
- 图像配准时对取自不同时间、不同传感器、不同视角的同一场景的两幅或多幅图像匹配的过程，该系统通过手动选取特征点，实现图像的配准功能-Image taken from the time of the different sensors, different perspectives of the same scene or two pieces of the image matching process, the system by manually selected feature points,
IMGReg
- 图像配准程序，需要自己选择特征点，效果还行-Image registration procedures, the need to choose feature points, the effect also line
Harris_conner_detection
- Harris_conner_detection，用MATLAB实现Harris角点检测算子的源码，用于特征点提取及图像配准等。-Harris_conner_detection, use MATLAB to achieve Harris corner detection operator of the source code for the feature point extraction and image registration and so on.
disp_fig
- 采用通过提取图像的边缘特征对两幅图像配准，并采用双线性插值算法来提高配准精度。用于两幅图像间变化不大的配准。-Adopted through the extraction of image edge characteristics of two image registration, using bilinear interpolation algorithm to improve registration accuracy. Between two images for little chan
Multi2modalityMedicalImageRegistration
- 关于医学图像配准的一篇论文，轮廓特征点、最大互信息、多模态-Medical Image Registration on a paper, the outline of the characteristics of points, maximum mutual information, multi-modal
IMGReg
- 基于VC++实现基于特征的图像配准,并将两幅图像拼接,合成一幅图像.-VC++ implementation based on Feature-based image registration, and two image mosaic, composite image.
duoguangputuxiangpeizhun
- 本文针对多光谱图像配准中不同光谱图像间存在较大的灰度差异、同一景 物在不同波段表现的特征也各不相同等问题，提出了基于互信息相似性测度的 多光谱图像配准算法。-In this paper, multi-spectral image registration between images in different spectral gray there is a big difference, the same scene in different performance character
IRandvisbletuxiangpeizhun
- 针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即: 使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗 配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基 于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合. -For visible light and infrared images of the characteris
pinjie
- 在待配准的图象上，选取适当3个特征点，用于图象拼接-In question on the registration of images, select the appropriate three feature points for image splicing
11111111kkdkfkas
- 基于轮廓特征的SAR图像自动配准,介绍算法原理和步骤，可以作为研究参考-Based on the outline of the characteristics of the SAR image automatic registration, and the steps introduced algorithm can be used as reference
200913141250
- 一种基于特征的SAR图像自动配准方法，介绍原理和方法，可以作为图像匹配研究的参考文献-Based on the characteristics of the SAR image automatic registration method to introduce the principles and methods, image matching can be used as study references
cornerdetect
- 图像中的角点包含大量的信息，在计算机视觉中扮演重要角色，在许多应用中角点用作特征点，例如图像配准、运动目标跟踪等。鉴于此，学者们提出很多角点检测方法。例如Hans EMoravec在1977年提出的Movavec算法，Chris Harris和Mike Stephens于1988年提出的Harris算法，以及MirosavTrai．kovic和MarkHedley提出的Trajkovic算法等“卅。角点检测的另一个途径是计算轮廓的曲率函数，因为角点是曲率函数的最大值，因此很容易通过阈值的方法检测
IMGReg
- 这个程序主要用于图像配准，程序实现了基于特征的图像配准-This procedure is mainly used for image registration, the program achieved the feature-based image registration
Registration
- 提出一种新的基于分支结构特征的视网膜图像配准方法，此算法可降低误匹配的点。能够应用到其他图像配准中，形成良好的等级结构。-Feature-Based Retinal ImageRegistration Using Bifurcation Structures
xiangmu
- 实现基于点特征的多源遥感图像 配准技术，并实现了拼接。可以参见我的论文《基于点特征的多源遥感图像 配准技术》-A point-based approach to multi-source remote sensing image registration
Based_on_the_characteristics_of_an_edge_subpixel_p
- 提出了基于边缘特征的亚像素投影配准算法,法引入新的图像相似性评价函数 — 均方误差函数(Mean Sequare Er ron ,MSE)-Proposed sub-pixel edge features based projection matching algorithm, France and the introduction of a new image similarity evaluation function- the mean square error function (Mea
自动的基于特征的图像配准程序
- 这是一个版自动的基于特征的图像配准程序,需要手工选取特征点,程序将自动找到匹配的特征点,进行配准-This is a version of automated feature-based image registration procedures, require manual selection of feature points, the program will automatically find the matching feature points, for registration
IMGReg
- 图像配准，一个半自动的基于特征的图像配准程序。在程序中，需要手工选取特征点，程序将自动寻找到相匹配的特征点，然后自动计算仿射变换参数，并将两幅图像进行拼接，合成一幅图像。-Image registration, a semi-automatic feature-based image registration process. In the process, the need to manually select the feature points, the program will auto
vfxhw2
- 图像拼接源码实现，包括多频率图像融合，sift特征点配准算法-Image Stitching source implementation, including multi-frequency image fusion, sift feature points matching algorithm
cx6
- 用Hausdorff距离对两角点集进行配准，得到点集间的仿射变换，从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征，与直接选用边缘来配准的方法相比较，大大减小计算量。-Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. T