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m_files
说明: find_center:寻找图像的形心,即图像几何中心点的检测。
otsu:otsu分割
sobelNedge:sobel边缘检测
catch_point:全局阈值分割函数(Find center: find the centroid of the image, that is, the detection of the geometric center of the image.
Otsu: Otsu segmentation
Sobel edge: Sobel edge detection
Catch point: global threshold segmentation function)
- 2020-05-17 22:23:27下载
- 积分:1
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pingyi
说明: 用matlab语言开发的图像平移程序,包含测试图片(Matlab language used to develop the image translation process, including test picture)
- 2008-11-22 21:21:13下载
- 积分:1
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VCPP-image-processing-chapter04
VisualC++数字图像处理技术详解第2版光盘-第四章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter Four)
- 2016-04-16 13:23:00下载
- 积分:1
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dualtree_dwt
双数复小波变换及其图像去噪算法。。。。。(Double the number of complex wavelet transform and image denoising algorithm. . . .)
- 2009-04-02 10:10:40下载
- 积分:1
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CSR_Denoising
该算法首先通过字典学习得到含噪图像的冗余字典,然后对相似的图像块进行聚类构成块群,并通过迭代收缩和L1正则化约束,对同类的图像块在字典上进行稀疏表示,以达到降噪的目的。实验结果表明,在常规的图像处理上,本文提出的算法能较好的保留图像的结构信息,与K-SVD和BM3D等现有的流行算法相比,具有更高的峰值信噪比(PSNR)(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)
- 2017-05-02 20:48:25下载
- 积分:1
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histeqgray
说明: 直方图均衡化,直方图均衡化vc++源代码(histogramequalization)
- 2009-09-03 23:52:55下载
- 积分:1
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峰值信噪比
计算原始图像和过滤噪声后的图像的峰值信噪比(peak signal to noise ratio of image)
- 2018-05-28 21:46:38下载
- 积分:1
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遥感算法的IDL代码 classification
各种非监督分类遥感算法的IDL代码,包括K均值,ISO聚类(Remote sensing of various non-supervised classification algorithms IDL code, including K-means, ISO clustering)
- 2013-07-16 21:11:09下载
- 积分:1
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lixiaomao
this code is for the paper of image segmentation based on level set methods. in this paper improves Tony Chan s paper and improves the speed.
- 2012-04-28 17:18:16下载
- 积分:1
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NumberRecognize
根据RBM深度网络(Hinton,2006)进行MINST手写文字的分类器的训练,利用训练得到的权值制作了这个小程序,通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别,但是对其他的手写字体识别就没有那么好了。(According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the right value to produce this small program, this program can be seen through the results of the training data set and the training sample test samples are can be well identified, but on the other handwriting recognition is not so good.)
- 2013-10-17 15:55:34下载
- 积分:1