搜索资源列表
ImageProcessing
- 实现图像处理的诸多操作,如图像增强,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-To achieve a lot of image processing operations such as image enhancement, image restoration, image transform, image coding, image registration, motion detection, feature extraction, image se
15435121
- 基于特征的图像配准算法研究,一篇文献,对于学习配准的人来说有很大的帮助-Feature-based image registration algorithm, a literature study and registration for people who are very helpful
AutomaticImageStitching
- 用基于特征的方法进行了配准,接着进行拼接,能够自动实现拼接,速度较快。-With feature-based registration methods, followed by splicing, can automatically stitching, faster.
zhiyudian-tuxiangpeizhu
- 基于点的matlab图像配准.提出一种基于小波系数的特征索引算法,实现了图像特征点对的快速搜索和两幅图像之间的匹配-Based on the point of matlab Image Registration. Presents a feature based on wavelet coefficients indexing algorithm to realize the image feature points on the fast search and matching between
Visual.Assist.X.v10.5.1715.0
- 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 different spectral image there is a big difference in gray scale, the same scene in different bands performance char
LMS11
- 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 different spectral image there is a big difference in gray scale, the same scene in different bands performance char
ARMA222
- 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 different spectral image there is a big difference in gray scale, the same scene in different bands performance char
MosaicKit
- 图像匹配,配准...手动选择特征点后可以进行最优配准-image match
final_cu
- 粗配准。通过寻找特征点和计算胡氏矩的方法对衣服图像进行粗配准。-rough registration.
1
- 本文就针对大型场景的这些特点,提出了新的基于特征的自动配准算法。-The main work of this thesis is to deal with the range data registration problem for large-scale scenes. On the basis of analysis of properties of real scenes, we propose a new automatic feature-based registration alg
studyharris
- 角点是图像的重要局部特征,通过处理图像的角点可大大减少图像处 理过程中的计算量.角点检测在图像特征提取、图像配准、超分辨率重建等方面都有 重要的应用 根据实现方法不同可将角点检测的方法分为三大类.指出角点检测技术 的研究和发展方向. -study harris
IMGReg
- 选择特征点,对图像进行仿射变换,然后配准-Select feature points, an affine transformation of the image, then registration
Feaorithm
- 基于特征点的合成孔径雷达复图像自动配准算法-Feature points based on synthetic aperture radar complex automatic image registration algorithm
ImageProcessing
- VC++数字图象获取,处理及实践应用: 分别讨论了位图及图像类的概念、图像获取、图像增强、图像复原、正交变换、压缩编码、图像配准、运动检测、特征提取、图像分割及识别的相关知识。基本涵概了从图像获取到图像处理的各个领域,并结合Visual C++,给出了相应的算法和完整的源代码。-VC++ digital image acquisition, processing and practical applications: the bitmap are discussed and the con
pointExtraction
- 文件中的是图像配准过程中常用的几种提取特征点的方法-Several common methods of extracting keypoits in the process of image registration
Voting-strategy
- 本文提出了一种由粗到细的图像配准方法。该方法首先由多尺度Harris角点检测 算法提取出参考图像和目标图像的特征角点-This paper presents a coarse-to-fine image registration methods. In this method, the multi-scale Harris corner detection algorithm to extract the reference image and the target image featur
randomized-contour-matching
- 一种对部分重叠的图像进行快速配准的方法,该方法是基于轮廓特征的随机匹配算法-Some overlapping images of a fast registration method, the method is based on random Matching Contour Feature
Feature-based-image-registration
- 基于特征的图像配准研究,研究了基于区域特征和特征点的图像配准方法,给出了配准步骤-Feature-based image registration
image-registration-
- 一篇很好的基于特征点的图像配准算法研究论文,很有参考意义!-A good feature points based image registration algorithm research papers, meaning a good reference!
image-processing
- 数字图像处理,包括显示,配准,复原,运动检测,特征提取,模板匹配等功能-Digital image processing, including display, registration, restoration, motion detection, feature extraction, template matching and other functions