Description: 图像的相关系数是衡量两幅图像的相关程度的，本代码直接通过选定区域计算出相关系数！-image correlation coefficient is a measure of two images of the code directly through selected regional correlation coefficient calculated! Platform: |
Size: 30720 |
Author:宫华泽 |
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Description: 这是一个基于灰度相关进行影像匹配的小程序，基于matlab编写-This is a gray correlation based on the image matching small procedures, based on the preparation of Matlab Platform: |
Size: 316416 |
Author:李巧枝 |
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Description: MATCHBYCORRELATION - match image feature points by correlation.Function generates putative matches between previously detected feature points in two images by looking for points that are maximally correlated with each other within windows surrounding each point. Only points that correlate most strongly with each other in *both* directions are returned. This is a simple-minded N^2 comparison. -MATCHBYCORRELATION- match image feature points by correlation.Function generates putative matches between previously detected feature points in two images by looking for points that are maximally correlated with each other within windows surrounding each point. Only points that correlate most strongly with each other in* both* directions are returned. This is a simple-minded N ^ 2 comparison. Platform: |
Size: 3072 |
Author:wugang |
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Description: 采用基于灰度相关性对两幅图像进行配准，适用于图像间灰度变化不大的情况。-Based on gray-scale correlation of two image registration for gray-scale change between images is not the case. Platform: |
Size: 17408 |
Author:jiaojiao |
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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: 简单的模板程序配准，匹配的效果基本上可以满足一般的要求。实用，简单。-two functions used to implement template matching. the program finds the template image inside the target image using correlation. Platform: |
Size: 9216 |
Author:wangwei |
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Description: ZNCC Normalized cross correlation
m = zncc(w1, w2)
Compute the zero-mean normalized cross-correlation between the two
equally sized image patches w1 and w2. Result is in the range -1 to 1, with
1 indicating identical pixel patterns.-ZNCC Normalized cross correlation
m = zncc(w1, w2)
Compute the zero-mean normalized cross-correlation between the two
equally sized image patches w1 and w2. Result is in the range-1 to 1, with
1 indicating identical pixel patterns. Platform: |
Size: 1024 |
Author:mahmoud |
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Description: CCA的代码，将两张图片做典型相关分析，输入参数分别为：输入图像1，输入图像2，行，列，通道1，通道2，输出矩阵。-CCA' s code, two pictures to do canonical correlation analysis, input parameters are as follows: the input image 1, the input image 2, row, column, channel 1, channel 2, the output matrix. Platform: |
Size: 2048 |
Author:annie |
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Description: 基于灰度的两幅图像配准算法，两个程序，可以实现相关系数和PFC算法-Based on Gray' s two image registration algorithm, the two procedures, the correlation coefficient can be achieved and the PFC algorithm Platform: |
Size: 196608 |
Author:xzl |
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Description: 求两幅多波段影像的相关系数，并且能实现影像的多波段读取-Seek more than two-band image of the correlation coefficient, and can realize multi-band image to read Platform: |
Size: 1024 |
Author:john |
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Description: 两个源文件进行最小冗余和最大相关特征选择，主要用于图像特征选择里面-Two source files and the maximum correlation minimum redundancy feature selection, which is mainly used for image feature selection Platform: |
Size: 3072 |
Author:huan |
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Description: Template Matching. Two functions used to implement template matching. The program finds the template image inside the target image using correlation. Platform: |
Size: 55296 |
Author:driftinwind |
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Description: IDL开发的求取两幅图像相关系数的程序，用于影像融合质量评价-IDL to strike a developed procedures for the correlation coefficient of two images for image fusion quality evaluation Platform: |
Size: 1024 |
Author:tianfeng |
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Description: 本程序的功能是根据两幅相邻图像的相关系数来进行影像的匹配-The program' s functionality is based on two adjacent images of the correlation coefficient for image matching Platform: |
Size: 6359040 |
Author:王杰 |
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Description: Actual applications require specifi c methods to reduce the infl uence of the
correlation to distortions that appear when input images differ from their
reference model. When the distortion model can be described analytically
(such as in-plane rotation, scaling, etc.), specifi c methods give invariant
outputs to those particular distortions but reduces signifi cantly the fi eld of
practical applications. To overcome those limitations, we have fi rst proposed
the ASFS algorithm that allows to include a set of distorted images
in order to decrease the sensitivity of the correlation to nonanalytically
described distortions. Based on the ASFS algorithm, we have developed a
nonlinear two-step architecture Platform: |
Size: 7735296 |
Author:nahla |
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Description: 归一化互相关图像配准
有时一幅图像是另一幅图像的子图像，可以利用归一化互相关通过移动一幅图像来是两幅图像配准。-Normalized cross-correlation image registration Sometimes an image is another image of the sub-image, by moving an image using the normalized cross-correlation to two image registration. Platform: |
Size: 1024 |
Author:陈静 |
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Description: 图像拼接(image mosaic)技术是将一组相互间重叠部分的图像序列进行空间匹配对准,经重采样合成后形成一幅包含各图像序列信息的宽视角场景的、完整的、高清晰的新图像的技术。图像拼接在摄影测量学、计算机视觉、遥感图像处理、医学图像分析、计算机图形学等领域有着广泛的应用价值。 一般来说,图像拼接的过程由图像获取,图像配准,图像合成三步骤组成,其中图像配准是整个图像拼接的基础。本文研究了两种图像配准算法:基于特征和基于变换域的图像配准算法。 在基于特征的配准算法的基础上,提出一种稳健的基于特征点的配准算法。首先改进Harris角点检测算法,有效提高所提取特征点的速度和精度。然后利用相似测度NCC(normalized cross correlation——归一化互相关),通过用双向最大相关系数匹配的方法提取出初始特征点对,用随机采样法RANSAC(Random Sample Consensus)剔除伪特征点对,实现特征点对的精确匹配。最后用正确的特征点匹配对实现图像的配准。本文提出的算法适应性较强,在重复性纹理、旋转角度比较大等较难自动匹配场合下仍可以准确实现图像配准。-Image mosaic is a technology that carries on the spatial matching to a series of image which are overlapped with each other, and finally builds a seamless and high quality image which has high resolution and big eyeshot. Image mosaic has widely applications in the fields of photogrammetry, computer vision, remote sensing image processing, medical image analysis, computer graphic and so on. 。In general, the process of image mosaic by the image acquisition, image registration, image synthesis of three steps, one of image registration are the basis of the entire image mosaic. In this paper, two image registration algorithm: Based on the characteristics and transform domain-based image registration algorithm. In feature-based registration algorithm based on a robust feature-based registration algorithm points. First of all, to improve the Harris corner detection algorithm, effectively improve the extraction of feature points of the speed and accuracy. And the use of a similar measure of NC Platform: |
Size: 332800 |
Author:刘 |
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Search - correlation two image