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proj1

于 2020-05-29 发布
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下载积分: 1 下载次数: 1
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说明：  用matlab 实现的图像滤波，，，，，，，，，，(Image filtering realized by MATLAB,,,,,,,,,,)

文件列表：

proj1, 0 , 2020-05-29
proj1\.git, 0 , 2020-05-29
proj1\.git\COMMIT_EDITMSG, 8 , 2019-04-15
proj1\.git\config, 191 , 2019-04-15
proj1\.git\description, 73 , 2019-04-15
proj1\.git\FETCH_HEAD, 0 , 2020-01-07
proj1\.git\HEAD, 23 , 2019-04-15
proj1\.git\hooks, 0 , 2020-05-29
proj1\.git\hooks\applypatch-msg.sample, 478 , 2019-04-15
proj1\.git\hooks\commit-msg.sample, 896 , 2019-04-15
proj1\.git\hooks\fsmonitor-watchman.sample, 3327 , 2019-04-15
proj1\.git\hooks\post-update.sample, 189 , 2019-04-15
proj1\.git\hooks\pre-applypatch.sample, 424 , 2019-04-15
proj1\.git\hooks\pre-commit.sample, 1638 , 2019-04-15
proj1\.git\hooks\pre-push.sample, 1348 , 2019-04-15
proj1\.git\hooks\pre-rebase.sample, 4898 , 2019-04-15
proj1\.git\hooks\pre-receive.sample, 544 , 2019-04-15
proj1\.git\hooks\prepare-commit-msg.sample, 1492 , 2019-04-15
proj1\.git\hooks\update.sample, 3610 , 2019-04-15
proj1\.git\index, 1653 , 2019-04-15
proj1\.git\info, 0 , 2020-05-29
proj1\.git\info\exclude, 240 , 2019-04-15
proj1\.git\logs, 0 , 2020-05-29
proj1\.git\logs\HEAD, 157 , 2019-04-15
proj1\.git\logs\refs, 0 , 2020-05-29
proj1\.git\logs\refs\heads, 0 , 2020-05-29
proj1\.git\logs\refs\heads\master, 157 , 2019-04-15
proj1\.git\objects, 0 , 2020-05-29
proj1\.git\objects\00, 0 , 2020-05-29
proj1\.git\objects\00\52fbfd39b9ea8a94c8391311c99b348c42fb4d, 1204 , 2019-04-15
proj1\.git\objects\15, 0 , 2020-05-29
proj1\.git\objects\15\db0121b7e51db39e68c37c217a9430fb0bce94, 20374 , 2019-04-15
proj1\.git\objects\26, 0 , 2020-05-29
proj1\.git\objects\26\a761a1f6bb4978a0254d608f8f6cff74585d56, 150149 , 2019-04-15
proj1\.git\objects\28, 0 , 2020-05-29
proj1\.git\objects\28\fb8c93b580e5dc72400becf8d5d74a0aa6e072, 121 , 2019-04-15
proj1\.git\objects\2d, 0 , 2020-05-29
proj1\.git\objects\2d\aeaeed3f2d5792677756f67a90cf1353d0cb40, 279527 , 2019-04-15
proj1\.git\objects\3c, 0 , 2020-05-29
proj1\.git\objects\3c\f601e5a6b012cef83fb530a64a5ce278af6c93, 321 , 2019-04-15
proj1\.git\objects\4e, 0 , 2020-05-29
proj1\.git\objects\4e\576e21485a26e8418205f1103e9ddccc9ad8a6, 54080 , 2019-04-15
proj1\.git\objects\4e\df0192245fbf228f9cde40ac5fab18a16e4b05, 178355 , 2019-04-15
proj1\.git\objects\55, 0 , 2020-05-29
proj1\.git\objects\55\c3f34fae383b0769f86f68a47700a0f95dbb5f, 73983 , 2019-04-15
proj1\.git\objects\56, 0 , 2020-05-29
proj1\.git\objects\56\16a6c079cb2cc0fe6148b87f95bd340f4089ba, 427 , 2019-04-15
proj1\.git\objects\5b, 0 , 2020-05-29
proj1\.git\objects\5b\03989f9e106fa0e2f28555ee6ae4e5012464f5, 1068 , 2019-04-15
proj1\.git\objects\60, 0 , 2020-05-29
proj1\.git\objects\60\d78c08c95571275c306cc98bf701964f97f6c6, 1186 , 2019-04-15
proj1\.git\objects\6f, 0 , 2020-05-29
proj1\.git\objects\6f\0c275092774bafe45cc0bb56c784ccf9c8ca6b, 74 , 2019-04-15
proj1\.git\objects\8d, 0 , 2020-05-29
proj1\.git\objects\8d\0fd23d9ac7008b5de687034896ff30c964c85d, 151548 , 2019-04-15
proj1\.git\objects\8f, 0 , 2020-05-29
proj1\.git\objects\8f\2866f80b8d046d4d33ce1ff4981fd2ac32e2d2, 133085 , 2019-04-15
proj1\.git\objects\a9, 0 , 2020-05-29
proj1\.git\objects\a9\23bb12e03e38aabff139025ecc5a57154d143e, 54884 , 2019-04-15
proj1\.git\objects\b1, 0 , 2020-05-29
proj1\.git\objects\b1\2bbe2d59757f2e8206ef223c9d89af2e88a7ea, 286789 , 2019-04-15
proj1\.git\objects\b8, 0 , 2020-05-29
proj1\.git\objects\b8\2cc80ef57ee2d7c53e66bb76216bbb19315b33, 113114 , 2019-04-15
proj1\.git\objects\bc, 0 , 2020-05-29
proj1\.git\objects\bc\3e8796f921043432de60046a1a16be9a06a2bf, 79086 , 2019-04-15
proj1\.git\objects\d0, 0 , 2020-05-29
proj1\.git\objects\d0\dcaea9a4b9b4500b7e82015f1cb6607724ed4d, 390347 , 2019-04-15
proj1\.git\objects\d5, 0 , 2020-05-29
proj1\.git\objects\d5\b2df578c33d7c3977711d89ae6f81c06e87815, 335255 , 2019-04-15
proj1\.git\objects\da, 0 , 2020-05-29
proj1\.git\objects\da\0e8a756bfaec5df0cb7d18011f83bdb0573c92, 296 , 2019-04-15
proj1\.git\refs, 0 , 2020-05-29
proj1\.git\refs\heads, 0 , 2020-05-29
proj1\.git\refs\heads\master, 41 , 2019-04-15
proj1\.git\tgitchangelist, 0 , 2020-01-07
proj1\code, 0 , 2020-05-29
proj1\code\high_frequencies.jpg, 54259 , 2019-03-31
proj1\code\hybrid_image.jpg, 55028 , 2019-03-31
proj1\code\hybrid_image_scales.jpg, 80446 , 2019-03-31
proj1\code\low_frequencies.jpg, 20587 , 2019-03-31
proj1\code\my_imfilter.m, 2299 , 2019-05-12
proj1\code\proj1.m, 3255 , 2019-05-12
proj1\code\proj1_test_filtering.m, 3029 , 2013-09-01
proj1\code\vis_hybrid_image.m, 911 , 2013-09-01
proj1\data, 0 , 2020-05-29
proj1\data\bicycle.bmp, 408056 , 2013-08-31
proj1\data\bird.bmp, 373424 , 2013-08-31
proj1\data\cat.bmp, 444808 , 2011-09-06
proj1\data\dog.bmp, 444808 , 2011-09-06
proj1\data\einstein.bmp, 179196 , 2013-08-31
proj1\data\fish.bmp, 346352 , 2013-09-01
proj1\data\marilyn.bmp, 179196 , 2013-08-31
proj1\data\motorcycle.bmp, 408056 , 2013-08-31
proj1\data\plane.bmp, 373424 , 2013-08-31
proj1\data\submarine.bmp, 346352 , 2013-09-01

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发表评论

0 个回复

  • yundongguji1
    这是图像运动补偿中的进行运动补偿估计的常用程序算法matlab实现(This is the image motion compensation in the exercise of compensation is estimated to achieve common procedures algorithm matlab)
    2009-01-08 20:38:15下载
    积分：1
  • NewOtsuThreshold
    改进经典的otsu算法，使其适应目标所占图像比例较小的情况，使图像分割方法更具有自适应性 (Improve classic otsu algorithm to achieve image segmentation)
    2012-04-20 22:06:25下载
    积分：1
  • otsu_filterlocal
    改进的otsu算法，计算局部otsu的值确定局部小区域。对于光照不均匀图像处理有比较好的适应( Improved otsu algorithm to calculate the value of the local otsu determine the local small area. For uneven illumination image processing has a relatively good adaptation)
    2016-08-09 15:18:40下载
    积分：1
  • spams-matlab-v2.5-svn2014-07-04.tar
    说明：  基于Online Learning for Matrix Factorization and Sparse Coding的在线字典学习算法，本压缩包为作者的源代码(The online dictionary learning based on the paper "Online Learning for Matrix Factorization and Sparse Coding". This compression package is the author's source code.)
    2017-08-24 11:35:19下载
    积分：1
  • pingjiahanshu
    在matlab环境下，包括图像评价函数算法：Brenner、方差、梯度阈值、熵函数、能量梯度函数。(in Matlab environment, including image evaluation function algorithm : Brenner, variance, gradient threshold, entropy function, energy gradient function.)
    2021-05-12 17:30:03下载
    积分：1
  • matlab
    给出了偏微分方程的径向基函数配点法的数值解法，进行了数值模拟，并且给出了图形(The numerical solution of the radial basis function with partial differential equation method, numerical simulation, and gives the graphic )
    2014-04-17 09:27:58下载
    积分：1
  • fangpang
    包括最后计算压缩图像的峰值信噪比和压缩效果的源码,包含特征值与特征向量的提取、训练样本以及最后的识别，毕设内容，高光谱图像基本处理。( Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Complete set content, basic hyperspectral image processing.)
    2017-01-16 09:35:14下载
    积分：1
  • Max_CCM
    用于图像配准，角点提取后采用相关系数法进行特征匹配(For image registration, corner detection using correlation coefficient method after the feature matching)
    2010-05-12 18:32:24下载
    积分：1
  • 第五次作业
    说明：  1.学习使用fft2,ifft2,fftshift,ifftshift函数。用fft2函数对”lena.bmp”做二维傅立叶变换，并显示其频谱，用fftshift函数将频谱坐标原点移动到图像中心。用ifft2函数做傅立叶反变换。（提示：显示频谱时，可以先对频谱取对数，这样可以压缩动态范围很大的频谱，获得更好的显示效果）(1. Learn to use fft2, ifft2, fftshift, ifftshift functions. With the FFT 2 function, the lena.bmp'The two-dimensional Fourier transform is performed and the spectrum is displayed. The origin of the spectrum coordinate is moved to the center of the image by using the FFT shift function. The inverse Fourier transform is done with ifft2 function. (Note: when displaying the spectrum, the logarithm of the spectrum can be taken first, so that the spectrum with a large dynamic range can be compressed to obtain better display effect.))
    2020-12-11 21:59:55下载
    积分：1
  • regiongrowing.py.tar
    segmentation using region growing in an image
    2016-10-31 07:59:01下载
    积分：1
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