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VISREG函数

于 2020-07-25 发布 文件大小:10KB
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  函数visreg能够自动处理两幅对准图像的大小以及像素等细节问题,从而半透明地在另一幅图像上显示一幅图像。(Function visreg can automatically deal with the size of two aligned images and details such as pixels, thus displaying an image in another image in a semitransparent way.)

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  • 12345VC
    对打开的图像,可以提取其纹理特征,程序运行无误(Right to open the image, you can extract the texture features, the program is running correctly)
    2009-12-24 19:46:55下载
    积分:1
  • 非下采样轮廓波变换,NSCT变换,主要用于像去噪
    非下采样轮廓波变换,NSCT变换,主要用于图像去噪(Non - down sampling contourlet transform and NSCT transform are mainly used for image denoising.)
    2020-11-25 14:39:32下载
    积分:1
  • 指纹识别完整程序代码
    It initializes the entire image processing. The simulation parameters can be changed in this main file.
    2018-04-19 09:13:29下载
    积分:1
  • magnify
    说明:  本代码能实现matlab图中图,可以在figure中实现局部放大图,从而实现整体趋势和局部展示的目的。(This codes can realize the MATLAB graph, iand the codes can realize the local enlargement map in the figure, so as to achieve the overall trend and the purpose of partial display.)
    2020-06-22 00:20:02下载
    积分:1
  • PCA
    主成分分析 ( Principal Component Analysis , PCA )或者主元分析。是一种掌握事物主要矛盾的统计分析方法,它可以从多元事物中解析出主要影响因素,揭示事物的本质,简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值,形成一个 n ′ m 的数据矩阵, n 通常比较大。对于一个由多个变量描述的复杂事物,人们难以认识,那么是否可以抓住事物主要方面进行重点分析呢?如果事物的主要方面刚好体现在几个主要变量上,我们只需要将这几个变量分离出来,进行详细分析。但是,在一般情况下,并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面, PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)
    2021-01-28 21:48:40下载
    积分:1
  • ieee_ssr_bench
    说明:  IEEE_SSR标准PSCAD算例,实用算例亲测有效(An example of IEEE SSR standard PSCAD)
    2020-04-20 11:04:27下载
    积分:1
  • study-of-spread-droplet
    利用高速摄影仪记录了不同液滴撞击固体表面的形态变化过程,并探讨了液滴撞击参数撞击过程液滴形态的影响。(The processes of different droplets impacting the solid surface are recorded using a high-speed digital came and the effects of the impact parameters on the droplet impact are studied.)
    2015-01-05 11:50:01下载
    积分:1
  • sift-matlab
    sift特征提取的matlab源码,可用! sift特征提取的matlab源码,可用!(sift feature extraction matlab source code, available! sift feature extraction matlab source code, available!)
    2021-02-26 23:19:37下载
    积分:1
  • %e4%ba%8c%e5%80%bc%e5%8c%96%e5%8f%98%e6%8d%a2
    简单起见,这里设定阈值为122,即最大灰度的一半(the sake of simplicity, this threshold value is set to 122, the largest gray half)
    2006-10-24 21:58:15下载
    积分:1
  • kpca
    KPCA是一种PCA的改进方法,很值得一看,很实用!(KPCA is an improved method of PCA, it is worth a visit, it is useful!)
    2020-09-18 15:27:53下载
    积分:1
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