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Image-registration-feature-points

于 2014-07-30 发布文件大小:74KB

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特别全面的matlab数字图像处理经典案例分别基于图像的特征点和特征区域进行图像配准(Particularly comprehensive digital image processing matlab classic case of the image based on feature points, respectively, and feature area image registration)

文件列表：

23486152MATLAB特征点图像配准
............................\MATLAB图像配准程序
............................\..................\MATLAB图像配准程序
............................\..................\..................\BilinearInterplate.m,281,2008-05-06
............................\..................\..................\ComputeOutImSize.m,763,2008-05-01
............................\..................\..................\LinearT.m,936,2008-05-07

............................\..................\..................\size_position.m,687,2008-05-01
............................\..................\MATLAB基于点的图像配准程序
............................\..................\..........................\BilinearInterplate.m,281,2008-05-06

............................\..................\..........................\RegistP.m,1359,2008-10-22
............................\说明.txt,80,2014-07-21

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powell
说明：所传文件是有matlab编写的鲍威尔法，在优化设计中，有较大的作用！(The transfer document is written in matlab Powell method, the optimal design, have a greater role!)

2010-04-17 22:56:23下载

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利用蚁群算法整定PID参数,得到PID的参数，使得系统的动态性能最好(get PID parameters by ACA)

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对声音信号采样分析频谱,改变采样率，播放，音频信号加噪声(Spectrum analyzer of sound files)

2018-03-28 19:42:12下载

积分：1
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图像局部配准,利用matlab编写实验程序。图像自选。(Local image registration, the use of experimental procedures for the preparation of matlab. Image-on-demand.)

2007-09-12 23:32:41下载

积分：1
bilinear
In this paper, we introduce a new machine-learning-based data classification algorithm that is applied to network intrusion detection. The basic task is to classify network activities (in the network log as connection records) as normal or abnormal while minimizing misclassification. Although different classification models have been developed for network intrusion detection, each of them has its strengths and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC (Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both classification rate and run-time efficiency.

2013-12-21 13:40:52下载

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可用于拟合化学分析中的一元线性回归并绘制残差图，找出可疑数据，对化学分析工作者很有用！(Caculated the linear degree and residues of all values you got.Very important for the chemical engineers and scientists.)

2012-06-17 16:22:52下载

积分：1

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