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EntropyRateSuperpixel-master

于 2018-05-21 发布 文件大小:597KB
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下载积分: 1 下载次数: 11
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代码说明：

  基于熵率的超像素分割，图像处理，图像分割技术(superpixel segmentation based on entropy rate, image processing, image segmentation technology)

文件列表：

EntropyRateSuperpixel-master\.gitignore, 48 , 2015-08-19
EntropyRateSuperpixel-master\148089.jpg, 96491 , 2015-08-19
EntropyRateSuperpixel-master\242078.jpg, 83046 , 2015-08-19
EntropyRateSuperpixel-master\demo.m, 4012 , 2017-12-16
EntropyRateSuperpixel-master\demoERS.py, 692 , 2015-08-19
EntropyRateSuperpixel-master\ERS, 0 , 2018-05-21
EntropyRateSuperpixel-master\ERS\Edge.h, 2031 , 2015-08-19
EntropyRateSuperpixel-master\ERS\Image.h, 4003 , 2015-08-19
EntropyRateSuperpixel-master\ERS\ImageIO.h, 6173 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MERCCInput.cpp, 2127 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MERCClustering.h, 1849 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MERCDisjointSet.cpp, 2299 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MERCDisjointSet.h, 1911 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MERCEdge.h, 2458 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MERCFunctions.cpp, 3079 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MERCFunctions.h, 2029 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MERCInput.h, 1418 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MERCInputImage.h, 2955 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MERCLazyGreedy.cpp, 3761 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MERCLazyGreedy.h, 1337 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MERCOutput.cpp, 1880 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MERCOutput.h, 1426 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MERCOutputImage.h, 1854 , 2015-08-19
EntropyRateSuperpixel-master\ERS\mex_ers.cpp, 4944 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MHeap.h, 6310 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MList.h, 3145 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MMFunctions.h, 5560 , 2015-08-19
EntropyRateSuperpixel-master\ERS\MSubmodularHeap.h, 4224 , 2015-08-19
EntropyRateSuperpixel-master\erspy.exp, 599 , 2015-08-19
EntropyRateSuperpixel-master\erspy.lib, 1682 , 2015-08-19
EntropyRateSuperpixel-master\erspy.pdb, 1617920 , 2015-08-19
EntropyRateSuperpixel-master\erspy.pyd, 45056 , 2015-08-19
EntropyRateSuperpixel-master\make.m, 361 , 2015-08-19
EntropyRateSuperpixel-master\mex_ers.mexw64, 28160 , 2015-08-19
EntropyRateSuperpixel-master\random_color.m, 682 , 2015-08-19
EntropyRateSuperpixel-master\README.txt, 3921 , 2015-08-19
EntropyRateSuperpixel-master\seg2bmap.m, 1300 , 2015-08-19
EntropyRateSuperpixel-master\vc, 0 , 2018-05-21
EntropyRateSuperpixel-master\vc\ers.sln, 1309 , 2015-08-19
EntropyRateSuperpixel-master\vc\ers.v12.suo, 17920 , 2015-08-19
EntropyRateSuperpixel-master\vc\erspy.cpp, 2383 , 2015-08-19
EntropyRateSuperpixel-master\vc\erspy.vcxproj, 8336 , 2015-08-19
EntropyRateSuperpixel-master\vc\erspy.vcxproj.filters, 3070 , 2015-08-19

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    2008-12-27 23:21:33下载
    积分：1
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    数字图像处理(Digital Image Processing)是通过计算机对图像进行去除噪声、增强、复原、分割、提取特征等处理的方法和技术。 [1] 数字图像处理的产生和迅速发展主要受三个因素的影响：一是计算机的发展；二是数学的发展（特别是离散数学理论的创立和完善）;三是广泛的农牧业、林业、环境、军事、工业和医学等方面的应用需求的增长(Digital Image Processing (DIP) is a method and technology of removing noise, enhancing, restoring, segmenting and extracting features from images by computer. [1] The emergence and rapid development of digital image processing are mainly influenced by three factors: first, the development of computer; second, the development of mathematics (especially the establishment and improvement of discrete mathematics theory); third, the growth of the demand for extensive applications in agriculture, animal husbandry, forestry, environment, military, industry and medicine.)
    2020-06-23 22:20:02下载
    积分：1
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    任意航迹下单块的基于相位历史域的波前弯曲补偿算法(Single block of arbitrary Track bending compensation algorithm based on wavefront phase history domain)
    2012-10-22 12:36:04下载
    积分：1
  • totalvariation
    使用全变分模型对受噪声污染的图像进行修复(Using the total variation model of the image affected by noise pollution, to repair)
    2010-05-17 16:21:20下载
    积分：1
  • wavelet_denosiy
    说明：  Donoho提出的小波阀值去噪的基本思想是将信号通过小波变换（采用Mallat算法）后，信号产生的小波系数含有信号的重要信息，将信号经小波分解后小波系数较大，噪声的小波系数较小，并且噪声的小波系数要小于信号的小波系数，通过选取一个合适的阀值，大于阀值的小波系数被认为是有信号产生的，应予以保留，小于阀值的则认为是噪声产生的，置为零从而达到去噪的目的。尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点。(The basic idea of wavelet threshold de-noising proposed by Donoho is that the wavelet coefficients generated by the signal after passing through the wavelet transform (Mallat algorithm) contain the important information of the signal. After the wavelet decomposition, the wavelet coefficients of the signal are larger, the wavelet coefficients of the noise are smaller, and the wavelet coefficients of the noise are smaller than the wavelet coefficients of the signal. By selecting a suitable threshold, the wavelet coefficients of the noise are larger than the valve The wavelet coefficients of values are considered to be generated by signals, which should be preserved. The ones less than the threshold are considered to be generated by noise, which is set to zero to achieve the purpose of denoising.)
    2019-12-18 17:23:27下载
    积分：1
  • WT1
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    2013-05-11 12:35:58下载
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    基于GA和MP的信号稀疏分解,算法速度比元来的有很多改进。(Based on GA and MP sparse signal decomposition, the algorithm faster than the yuan to have many improvements.)
    2008-04-10 10:44:05下载
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    2011-11-06 09:48:28下载
    积分：1
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