Description: 采用快速傅立叶变换（fft) 对图像进行配准的标准程序（matlab语言）-Using fast Fourier transform (fft) of the image registration of the standard procedures (matlab language) Platform: |
Size: 7168 |
Author:王兴广 |
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Description: 基于SIFT的图像配准，这只是基中的一部分，想知道其他的请稍候-SIFT-based image registration, this is only part of the base, would like to know the other please wait Platform: |
Size: 1874944 |
Author:kaiven |
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Description: 使用互信息进行2D图像自动配准源代码,应用平均互信息-The use of mutual information for automatic registration 2D image source code, the application of the average mutual information Platform: |
Size: 231424 |
Author:fh |
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Description: 基于最大互信息的图像配准算法源程序
用matlab编写的-Based on the maximum mutual information image registration algorithm using matlab source prepared Platform: |
Size: 580608 |
Author:wangdenuan |
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Description: 提出了一种优化的图像配准算法。首先把图像中的兴趣点及其角度信息提取出来，利用互信息准则，得到需要的配对点，得到两幅或多幅图像的拼接自然的完整图像, 实验表明，该算法是有效的。-An optimized image registration algorithm. First of all, the image of interest points and their point of view of information extracted, using the criteria of mutual information they need to match point, the two or multiple images of the integrity of the natural splicing images, experiments show that the method is effective. Platform: |
Size: 120832 |
Author:zhangjia |
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Description: 图像配准，利用互信息进行图像配准，主要针对旋转和平移-Image registration using mutual information for image registration, the main response to rotation and translation Platform: |
Size: 75776 |
Author:hfy |
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Description: 这是一篇对于SIFT算法应用于非刚性图像配准的论文，相当不错-This is one for the SIFT algorithm is applied to non-rigid image registration of papers, quite good Platform: |
Size: 453632 |
Author:黄显武 |
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Description: 基于边缘检测的图像配准程序，希望对大家有帮助。-Based on Edge Detection image registration procedures, in the hope that everyone has to help. Platform: |
Size: 1024 |
Author:fanfan |
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Description: The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.-The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented. Platform: |
Size: 98304 |
Author:Harry |
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Description: In computer vision, sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in different coordinate systems. Image registration is the process of transforming the different sets of data into one coordinate system. Registration is necessary in order to be able to compare or integrate the data obtained from different measurements. Image registration is the process of transforming the different sets of data into one coordinate system. To be precise it involves finding transformations that relate spatial information conveyed in one image to that in another or in physical space. Image registration is performed on a series of at least two images, where one of these images is the reference image to which all the others will be registered. The other images are referred to as target images. Platform: |
Size: 683008 |
Author:Harry |
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Description: 利用互信息对图像进行配准，使用的是matlab自带的优化工具箱-image registration using mutunal information ,this is good method,though it s so simple Platform: |
Size: 167936 |
Author:wangwei |
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Description: 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 Platform: |
Size: 252928 |
Author:青 |
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Description: haar小波变换 在图像配准中可以使用 进而进行基于小波金字塔的模板交互匹配-haar wavelet transform in image registration can be used to carry out based on wavelet pyramid interactive template matching Platform: |
Size: 157696 |
Author:王华 |
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Description: 基于边缘特征的图像配准算法源码
基于边缘特征的图像配准算法是将不同时间、不同的传感器（成像设备）或不同条件下（天候、照度、摄像位置和角度等）获取的同一场景的两幅或多幅图像根据其边缘特征进行匹配、叠加的处理，最终生成一幅全景图像的方法。该方法具有抗噪性强，匹配速度快，误匹配率低，适用于多种类型的图像等优点，主要可以运用于以下领域：
（1）军事研究领域，如飞行器辅助导航系绞、武器投射系统的末制导以及寻地等应用研究；
（2）医学图像分析，如数字剪影血管造影DSA血管造影术、肿瘤检测、白内障检测、CT、MRI、 PET、 SPECT图像结构信息融合；
（3）模式识别，如特征识别、波形分析、签名证实、目标物运动跟踪、序列图像分析等；
（4）计算机视觉，可用于目标定位、自动质量控制等；
（5）遥感数据分析，多电磁波段图像信息融合，如多谱段的等场景分类、定位和识别定义好的或已知特征的场景、自然资源监控、核生长监控、市区增长检测等。
本算法实现使用VC++6.0为开发环境，目前只支持灰度图像，感兴趣的朋友可以进一步扩展。-Image registration is a fundamental problem in image processing, which is a process to match two or more images of the same scene taken at different times, from different viewpoints, or by different sensors. Image registration is an important technique for a great variety of applications such as medical image analysis, computer vision, remote image data analysis, image information fusion, and the recovery of the 3–D characteristics of a scene. Platform: |
Size: 141312 |
Author:YYK |
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Description: 关于图像配准中的交叉相关的实现，可以直接调用。-About Image Registration in the implementation of cross-correlation can be directly called. Platform: |
Size: 5120 |
Author:sai |
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