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efficient_subpixel_registration
MATLAB实现基于互相关的亚像素级图像匹配/配准源代码Free Source Code for Efficient subpixel image registration by cross-correlation(MATLAB-based cross-correlation of sub-pixel image matching/registration Source Code Free Source Code for Efficient subpixel image registration by cross-correlation)
- 2008-08-06 21:06:44下载
- 积分：1
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efficient_subpixel_registration
此程序是基于互相关的亚像素级图像匹配的代码，此种配准方法误差小，精度高。(This procedure is based on the cross-correlation of sub-pixel image matching of the code, such a registration method error and high accuracy.)
- 2009-07-20 09:57:05下载
- 积分：1
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CTMR融合示例
医学图像 CT/MR 图像的融合算法 使用梯度频率对两图像进行增强并融合，代码运行良好，适合初学者学习（注意无配准功能）(Medical image CT/MR image fusion algorithm uses gradient frequency to enhance and fuse two images, the code runs well, suitable for beginners to learn (pay attention to no registration function))
- 2021-04-17 21:48:52下载
- 积分：1
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nsct_toolbox
非下采样contourlet变换用于图像降噪，多尺度几何分析的应用。
(Contourlet transform non-down-sampling for image noise reduction, multi-scale analysis of the application of geometry.)
- 2009-04-12 18:08:10下载
- 积分：1
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最小熵解卷积程序med2d
说明： 最小熵解卷积程序，适合对故障信号降噪处理，有良好的的降噪效果(Minimum entropy deconvolution program, suitable for noise reduction of fault signals)
- 2020-12-07 19:49:21下载
- 积分：1
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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
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PCALDAandMMC[matlab]
人脸识别基于pca lda mmc 的matlab代码(Face Recognition Based on pca lda mmc the matlab code)
- 2008-04-23 16:45:06下载
- 积分：1
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SuperPixel
采用matlab代码进行超像素分割，可以很好使用，效果好(Super-pixel segmentation using matlab code can be used well and the effect is good.)
- 2018-12-17 09:43:08下载
- 积分：1
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Amplitude_Match01
这是一个关于振幅匹配的程序，C环境开发，可用于地震资料振幅匹配(This is a very useful program for amplitude matching by C)
- 2015-05-29 14:51:19下载
- 积分：1
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FCM
利用模糊C聚类（FCM）的方法对彩色图像进行分割，期中可以用不通的特征向量来表征图像的特征(The method of fuzzy C clustering (FCM) is used to segment the color image. In the period of time, the feature vectors can be used to characterize the features of the image.)
- 2018-03-12 11:37:23下载
- 积分：1
