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sixiangjianqiezuixiaoerchengfajiebaoguo
说明: 这个程序是用最小二乘法进行解包裹的程序,希望有用(least square unwrapping program)
- 2020-04-13 21:24:28下载
- 积分:1
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NSCT分解和重建程序
NSCT的分解与重构,用于图像处理,里面为非下采样轮廓波的工具箱(NSCT decomposition and reconstruction for image processing, which is a toolkit for subsampled contourlet)
- 2018-04-10 15:36:29下载
- 积分:1
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featureExtract
matlab语言,基于颜色特征提取的视频关键帧提取方法(matlab language, video key frame extraction method based on color feature extraction)
- 2013-03-20 17:15:35下载
- 积分:1
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convert_tif
批量的将图像转为tif格式,界面方面操作,放在ENVI的安装路径下即可(convert different format of image to .tiff)
- 2021-04-21 18:28:49下载
- 积分:1
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GPEXPAND-and-GPREDUCE
图像的高斯与拉普拉斯金字塔分解,两种方法都有(Image gaussian and Laplacian pyramid decomposition, there has two kinds of method)
- 2021-01-27 20:48:42下载
- 积分:1
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imps_remove
图像去云处理小程序,可以方便地对有云覆盖的影像进行处理,操作简单,效果较好(cloud remove procedures)
- 2020-12-13 16:19:15下载
- 积分:1
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lvbo
共有5个代码其中4个分别实现图像的中值滤波、均值滤波、双边滤波、Lee滤波,另一个是求图像的均值和方差。模板均不固定自己根据需要确定合适的w值。(There are five codes of which four were achieved image median filter, mean filter, bilateral filter, Lee filter, and the other is seeking an image of the mean and variance. Templates are not fixed ourselves w appropriate values as needed.)
- 2015-05-04 15:08:36下载
- 积分:1
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digital_image_processing_method
本程序包是关于图形处理和人脸识别的,包括人脸Gabor特征提取,canny算子,水线阈值方法等.大家可以一起参考(The package is on the graphics processing and face recognition, including face Gabor feature extraction, canny operator, waterline threshold methods. Together we can make reference)
- 2008-01-11 11:23:09下载
- 积分:1
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video_compression
VIDEO COMPRESSIONS BEST TUTORIAL
- 2013-05-31 17:00:01下载
- 积分:1
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pcacode
程序设计步骤:
1、去均值
2、计算协方差矩阵及其特征值和特征向量
3、计算协方差矩阵的特征值大于阈值的个数
4、降序排列特征值
5、去掉较小的特征值
6、去掉较大的特征值(一般没有这一步)
7、合并选择的特征值
8、选择相应的特征值和特征向量
9、计算白化矩阵
10、提取主分量(Programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)
- 2008-07-14 16:25:23下载
- 积分:1