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于 2012-06-18 发布 文件大小:11164KB
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代码说明：

  是有关图像去噪与分割的算法，形态成分分析法，的源码，可以直接使用(Is the source of the image denoising and segmentation algorithm, the form of component analysis, can be used directly)

文件列表：

程序
....\程序
....\....\GMCA程序
....\....\........\gmcalab_le
....\....\........\..........\.DS_Store,6148,2007-08-14
....\....\........\..........\aconv.m,860,2006-07-30
....\....\........\..........\DownDyadHi.m,606,2006-07-30
....\....\........\..........\DownDyadLo.m,585,2006-07-30
....\....\........\..........\fgmca.m,1918,2007-08-14
....\....\........\..........\FWT2_PO.m,1106,2006-05-10
....\....\........\..........\hs_err_pid3488.log,16976,2011-11-29
....\....\........\..........\iconv.m,777,2006-03-28
....\....\........\..........\imnb.m,47,2007-06-07
....\....\........\..........\IWT2_PO.m,1212,2006-05-10
....\....\........\..........\lshift.m,466,2006-07-30
....\....\........\..........\MakeONFilter.m,10135,2008-12-24
....\....\........\..........\MirrorFilt.m,591,2006-07-30
....\....\........\..........\pakhawaj.tif,65722,2007-06-07
....\....\........\..........\paraty256.tif,87416,2006-09-26
....\....\........\..........\paraty256_2.tif,149676,2006-09-26
....\....\........\..........\quadlength.m,887,2010-10-30
....\....\........\..........\reverse.m,475,2006-07-30
....\....\........\..........\rshift.m,523,2006-01-03
....\....\........\..........\sosdelrey.tif,67354,2007-06-07
....\....\........\..........\sparse_noisy_examples.m,2791,2011-11-29
....\....\........\..........\UpDyadHi.m,749,2006-01-03
....\....\........\..........\UpDyadLo.m,726,2006-01-03
....\....\........\..........\UpSampleN.m,758,2006-01-03
....\....\MCA分割
....\....\.......\1-2.fig,10700,2011-07-29

....\....\.......\11-3.fig,1172414,2011-07-25
....\....\.......\15-10.fig,60921,2011-07-25
....\....\.......\15-7.fig,49368,2011-07-25
....\....\.......\17-2.fig,12567,2011-07-25


....\....\.......\aconv.m,860,2006-07-30


....\....\.......\BJ256_ms_2.bmp,66616,2002-04-26
....\....\.......\BJ256_ms_3.bmp,66616,2002-04-26
....\....\.......\BJ256_N_12.bmp,66616,2002-04-16
....\....\.......\BJ256_N_13.bmp,66616,2002-04-16
....\....\.......\BJ256_N_5.bmp,66616,2002-04-16
....\....\.......\BJ256_S_13.bmp,66616,2002-04-26
....\....\.......\BJ256_S_14.bmp,66616,2002-04-26
....\....\.......\BJ256_S_15.bmp,66616,2002-04-26
....\....\.......\BJ256_S_16.bmp,66616,2002-04-26
....\....\.......\BJ256_S_2.bmp,66616,2002-04-26
....\....\.......\BJ256_S_3.bmp,66616,2002-04-26
....\....\.......\boy.png,11999,2011-07-18
....\....\.......\Bridge_hh.bmp,41078,2005-12-30
....\....\.......\chisq.m,366,2003-05-16
....\....\.......\dct2.m,527,2008-12-24
....\....\.......\dct_iv.m,916,2006-01-03
....\....\.......\doog.m,2884,2003-05-16
....\....\.......\DownDyadHi.m,606,2006-07-30
....\....\.......\DownDyadLo.m,585,2006-07-30
....\....\.......\dyadlength.m,716,2006-07-30
....\....\.......\edgefold.m,1077,2006-01-03
....\....\.......\edgeunfold.m,1087,2006-01-03
....\....\.......\FastCURVWRAPAnalysis.m,1484,2009-05-19
....\....\.......\FastCURVWRAPSynthesis.m,1422,2008-12-24
....\....\.......\FastLA2.m,873,2009-05-19
....\....\.......\FastLDCT2ivAnalysis.m,1353,2010-11-02
....\....\.......\FastLDCT2ivSynthesis.m,1496,2008-12-24
....\....\.......\FastLDCTivAnalysis.m,1471,2008-12-24
....\....\.......\FastLDCTivSynthesis.m,1298,2008-12-24
....\....\.......\FastLS2.m,1003,2008-12-24
....\....\.......\FastUDWT2Synthesis.m,966,2008-12-24
....\....\.......\fdct_wrapping.m,840,2009-06-19
....\....\.......\fdct_wrapping_c2r.m,384,2009-06-19
....\....\.......\fdct_wrapping_mex.mexglx,501451,2009-06-19
....\....\.......\fdct_wrapping_mex.mexmac,1112024,2009-06-19
....\....\.......\fdct_wrapping_mex.mexmaci,311056,2009-06-19
....\....\.......\fdct_wrapping_mex.mexsol,12376,2009-06-19
....\....\.......\fdct_wrapping_mex.mexw32,529920,2009-06-19
....\....\.......\fdct_wrapping_param_mex.mexw32,308224,2009-06-19
....\....\.......\fdct_wrapping_r2c.m,317,2009-06-19
....\....\.......\figInpaintbarbara.m,1979,2011-11-29
....\....\.......\figMCAbarbara.asv,1440,2011-07-16
....\....\.......\figMCAbarbara.m,1372,2011-11-29
....\....\.......\fold.m,1010,2006-01-03
....\....\.......\forest_grass.bmp,41080,2002-12-19
....\....\.......\FWT2_PO.asv,1113,2010-10-31
....\....\.......\FWT2_PO.m,1113,2010-10-30
....\....\.......\gaussian.m,453,2003-05-16
....\....\.......\girl.bmp,156006,2003-04-22
....\....\.......\histproc.m,652,2003-05-16
....\....\.......\iconv.m,777,2006-03-28
....\....\.......\ifdct_wrapping.m,754,2009-06-19
....\....\.......\ifdct_wrapping_mex.mexw32,529920,2009-06-19
....\....\.......\lena256.bmp,66614,1999-06-06
....\....\.......\LengthList.m,334,2008-12-24
....\....\.......\lshift.m,466,2006-07-30
....\....\.......\MAD.m,302,2008-12-24
....\....\.......\main.asv,16909,2011-07-30
....\....\.......\main.m,16910,2011-07-31
....\....\.......\MakeList.m,735,2008-12-24

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    说明：  为了在抑制噪声时尽可能保留图像边缘信息，提出一种自适应各向异性高斯滤波器设计方法. 该方法由独立 强度传播（IDS）模型决定滤波器的长轴尺度，由像素的邻域平滑度决定长短轴的比例，然后根据该处的灰度梯度方 向自适应决定各向异性滤波器的长轴方向. 仿真实验表明，提出的自适应各向异性滤波器具有很强的噪声抑制和 边缘保持能力. (In order to suppress noise, as far as possible to keep the image edge information, an adaptive anisotropic Gaussian filter design methods. The method by the independent strength spread (IDS) model determines the long axis of the filter scale, the pixel neighborhood smoothness determine the ratio of minor axis, and then there' s gray gradient direction of adaptive decision the long axis of anisotropic filter. Simulation results show that the proposed adaptive anisotropic filter has a strong noise suppression and preserve edges.)
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    2007-08-19 18:04:02下载
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