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匹配滤波器图像识别
利用匹配滤波器实现图形识别,包括程序和说明文档(Graphic Recognition Using Matched Filter)
- 2021-01-17 08:48:45下载
- 积分:1
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yuezhifenggedejizhngsuanfa
在做图像处理时用遇到图像的阈值分割,这是几种图像的阈值分割方法(In doing image processing with experience image threshold segmentation, which is one of several image thresholding segmentation method)
- 2013-11-22 16:01:06下载
- 积分:1
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adaptivethreshold
与坐标相关的阈值也叫动态阈值、局部阈值、自适应阈值,局部阈值法:自适应图像分割。(Threshold associated with coordinates, also called dynamic threshold, local threshold, adaptive threshold, local threshold method: adaptive image segmentation.)
- 2013-05-27 09:49:07下载
- 积分:1
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Demo_test_DnCNN
说明: 前馈神经网络图像去噪,DnCNN的MATLB实现,以及相应的峰值信噪比和结构相似性的计算。(DnCNN,MATLAB,And calculation of peak signal-to-noise ratio structural similarity)
- 2020-03-22 09:36:57下载
- 积分:1
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gac
能直接用的GAC图像分割程序,很好用。具体内容可看程序(GAC can be directly used in image segmentation procedure, easy to use. To see program details)
- 2010-06-09 16:58:34下载
- 积分:1
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weicaise
伪彩色增强的matlab程序,主要基于空间域灰度级-彩色变换,算法清晰,效果较好.
(pseudo-color enhanced Matlab procedures, mainly on the spatial domain gray level-color transformation, the algorithm clear. effective.)
- 2007-06-17 18:20:06下载
- 积分:1
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plslda
偏最小二乘线性判别分析, 以及变量选择方法(partial least squares-linear discriminant analysis)
- 2010-06-16 10:31:49下载
- 积分:1
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unsharp_mask
非锐化掩膜,用于DR图像的对比度增强算法,这只是一个简单的算法过程,(unsharp masks)
- 2009-11-01 20:12:14下载
- 积分:1
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some-matlab-digital-image-processing-function
说明: 我是一个图象处理的初学者,用MATLAB语言编写了一些内部的函数,实现了图象处理的功能,比如entropy,laplician,otsu,top-hat等(image processing is a beginners MATLAB language some internal functions, achieving image processing functions, such as entropy, laplician, Otsu, top-hat, etc.)
- 2006-03-26 21:18:05下载
- 积分:1
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压缩感知中利用增广拉格朗日方程解最小稀疏正则化的恢复算法 DAL
压缩感知中利用增广拉格朗日方程解最小稀疏正则化的恢复算法(DAL solves the dual problem of (1) via the augmented Lagrangian method (see Bertsekas 82). It uses the analytic expression (and its derivatives) of the following soft-thresholding operation,
which can be computed for L1 and grouped L1 (and many other) sparsity inducing regularizers. If you are interested in our algorithm please find more details in our technical report or in my talk at Optimization for Machine Learning Workshop (NIPS 2009).)
- 2011-04-25 10:19:38下载
- 积分:1