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FCM
利用模糊C均值图像分割,此为matlab环境下的仿真代码.(Using fuzzy C-means image segmentation, this matlab code simulation environment.)
- 2009-04-30 08:54:21下载
- 积分：1
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1.6 尺度不变特征提取
sift详细编写,方向等参量，参数取舍详细(sift Detailed compilation of sift, direction and other parameters, detailed selection of parameters sift sift sift sift)
- 2020-08-04 19:28:38下载
- 积分：1
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mjfap
包括回归分析和概率统计，结合PCA的尺度不变特征变换(SIFT)算法，计算晶粒的生长，入门级别程序。( Including regression analysis and probability and statistics, Combined with PCA scale invariant feature transform (SIFT) algorithm, Calculation of growth, entry-level program grain.)
- 2017-04-28 20:02:09下载
- 积分：1
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codebar
自己写的条形码识别代码，能够识别商品条码，与大家分享，代码只供参考！(Write your own bar code identification code, the bar code to identify goods to share with you the code for reference only!)
- 2008-05-21 10:38:40下载
- 积分：1
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About-me-icon
free image to be used freely
- 2014-09-01 22:30:50下载
- 积分：1
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deformation_transfer_python_for_same_face
对三角网格进行驱动形变，使用Deformation transfer of Triangular Mesh算法(Driving Deformation of Triangular Mesh)
- 2020-06-16 15:20:02下载
- 积分：1
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mp
说明： matching pursuit algrithmic
- 2009-08-12 21:12:56下载
- 积分：1
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远程数据tcp传输
说明： 基于labview的远程数据传输 tcp协议(Remote data transmission based on LabVIEW)
- 2019-01-02 16:55:05下载
- 积分：1
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Lee filter for speckle noise reduction
在自适应中值滤波的基础上，采用均值与方差得到一个阈值，来判断极值点是不是噪声点！(On the basis of adaptive median filtering, a threshold is obtained by means of mean and variance to determine whether the extreme point is a noise point!)
- 2017-10-02 13:54:48下载
- 积分：1
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dual-tree
首先将非平稳的故障振动信号进行双树复小波包分解，得
到不同频带的分量；然后对每个分量求其峭度值和相关系数并进行比较；最后选取峭度值和相关系数较大的分量
进行软阈值降噪和双树复小波包重构，即可有效地消除振动信号中噪声的干扰，同时保留信号中的有效信息即实
现了故障特征信息的提取。(In view of the above situation, a new fault diagnosis
method is proposed based on dual-tree complex wavelet packet transform and threshold de-noising. Firstly, the
non-stationary fault signal is decomposed into several different frequency band components through dual-tree
complex wavelet packet decomposition. Secondly, Kurtosis and the cross-correlation coefficient of each
component are obtained and compared. Due to the kurtosis reflecting the signal variations, if the kurtosis value is
bigger, the degree of the change of signal is bigger too. The correlation coefficient can reflect the proximity
between the component and the original signal at the same time, the correlation coefficient is bigger, the more
similar with the original signal. Finally, the components that have a bigger value are chosen to be de-noised by a
soft threshold and reconstructed by dual-tree complex wavelet packet transform. The noise interference was
eliminated effectively, and the effective si)
- 2014-05-28 17:02:14下载
- 积分：1
