Description: 光盘中存放的是书中涉及的源代码，为了便于读者学习，已将完整的程序分割开，读者在使用的时候，最好按照书中介绍的内容一步一步的实现。其中第1章提供的是相关算法的核心程序，第5章由于是一个综合的商业程序，涉及到各种技术，如果读者需要图像识别部分的程序，可以发邮件至2wintech@126.net与我们联系。另外，书中涉及到的图片等资源，保存在光盘的对应目录下。-stored in the CD book is the source code, in order to help readers learn, has a complete separate procedures, the use of the readers, the best in accordance with the contents of the book introduced step by step to achieve. The first chapter provides a correlation algorithm is the core program, Chapter 5 is due to an integrated business processes, involving a variety of technologies, if the reader needs Image Recognition part of the program, you may e-mail 2wintech@126.net contact us. In addition, the book relates to the pictures and other resources stored in the corresponding CD-ROM directory. Platform: |
Size: 5126144 |
Author:李林 |
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Description: 上传的是Convolve算法，在图象处理系统中经常用到，也许对你有参考价值-upload the Convolve algorithm, the image processing system frequently used, perhaps for your reference value Platform: |
Size: 1024 |
Author:廖和 |
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Description: 上传的是C编写的算法，在图象处理方面常用到，希望对你有用-upload is prepared by the C algorithm, the image processing used to the hope that useful to you Platform: |
Size: 1024 |
Author:廖和 |
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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: Relationship Between the Sum of Squared Difference (SSD)
and Cross Correlation for Template Matching
Konstantinos G. Derpanis
York University
kosta@cs.yorku.ca
Version 1.0
December 23, 2005 Platform: |
Size: 41984 |
Author:li |
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Description: Cross-Correlation-Target-Image-Detection，很好用哦，大家下载自己看看，很详细-Cross-Correlation-Target-Image-Detection, good with Oh, you download could see for himself, in great detail Platform: |
Size: 109568 |
Author:maz12 |
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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: 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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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: 数字图像相关计算和跟踪算法的Matlab实现
这个程序实现从一系列图像中计算图像应力，可以计算出水平和垂直的应力。-Source Code for Digital Image correlation and Tracking
Calculate displacement and strain from a series of images Platform: |
Size: 813056 |
Author:dengyan |
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Description: 正交相关目标检测，采用正交相关方法检测指定目标在图像中的位置。适用于计算机视觉中的视频目标检测、视觉目标检测、目标定位、视觉目标跟踪、视频目标跟踪、图像匹配、图像配准等工作。-cross relation detection is used to detect object in image for in the field computer vision such as visual object detection, motion detection, object localization, visual object tracking, video object tracking, image registration, image matching, etc. Platform: |
Size: 109568 |
Author:朱亮亮 |
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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OpenCV和FFTW实现的相位相关图像匹配程序，需要OpenCV和FFTW库文件的支持。本程序并没有用到OpenCV中的DFT，而是用了FFTW中的FFT，所以速度要快很多。-Based on OpenCV and the FFTW implementation phase correlation image matching procedures, require OpenCV and FFTW library files. This procedure does not use OpenCV in the DFT, but with the FFTW in the FFT, so much faster. Platform: |
Size: 1560576 |
Author:瘦猪呆兔 |
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Search - correlation image