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演示

于 2020-06-25 发布 文件大小:12840KB
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下载积分: 1 下载次数: 0

代码说明:

  图像处理,图像分割,图像变换,图像特征提取,图像增强,图像编码压缩(Image processing, image segmentation, image transformation, feature extraction)

文件列表:

演示, 0 , 2019-06-12
演示\apple.jpg, 3916 , 2012-05-27
演示\BOY.jpg, 5329 , 2012-06-02
演示\shouxieshuzi.bmp, 218502 , 2012-06-02
演示\work, 0 , 2019-06-12
演示\work\1.m, 69 , 2012-05-20
演示\work\BACTERIAIMCONTOUR.asv, 105 , 2011-05-14
演示\work\BACTERIAIMCONTOUR.m, 107 , 2011-05-14
演示\work\BLOODEDGE.asv, 231 , 2013-06-16
演示\work\BLOODEDGE.m, 243 , 2013-06-16
演示\work\BLOODEDGE1.asv, 343 , 2013-06-16
演示\work\BLOODEDGE1.m, 344 , 2013-06-16
演示\work\BLOODFILTER2.asv, 441 , 2011-05-14
演示\work\BLOODFILTER2.m, 455 , 2014-05-02
演示\work\BLOODLAPLACIAN.m, 147 , 2011-06-02
演示\work\BLOODMEDFILT2.asv, 176 , 2011-05-25
演示\work\BLOODMEDFILT2.m, 176 , 2011-05-25
演示\work\BLOODNOISE.asv, 258 , 2011-06-02
演示\work\BLOODNOISE.m, 258 , 2011-06-02
演示\work\BLOODROBERTS.asv, 123 , 2011-06-12
演示\work\BLOODROBERTS.m, 131 , 2011-06-02
演示\work\BUILDINGHISTEQ.asv, 387 , 2011-05-14
演示\work\BWLABEL.m, 211 , 2011-06-12
演示\work\CAMERAMANIMHIST.m, 101 , 2011-05-14
演示\work\CAMERAMANSHIFT.m, 193 , 2014-05-05
演示\work\CAMERAMANWH.m, 235 , 2011-05-14
演示\work\CANNYEDGE.m, 125 , 2013-06-16
演示\work\COLOR.m, 124 , 2014-05-02
演示\work\dct.asv, 299 , 2011-04-19
演示\work\diamond.m, 129 , 2011-04-17
演示\work\EIGHT.m, 1052 , 2011-06-02
演示\work\EIGHTt.asv, 1053 , 2011-05-18
演示\work\FFT-IFFT.asv, 207 , 2011-04-17
演示\work\FFT2DEMO.asv, 214 , 2011-05-18
演示\work\FFT2DEMO2.asv, 224 , 2011-04-19
演示\work\html, 0 , 2019-06-12
演示\work\html\EIGHT.tex, 1509 , 2012-05-20
演示\work\html\FFT-IFFT.html, 2498 , 2011-04-17
演示\work\lena.bmp.BMP, 320054 , 2010-05-14
演示\work\LENADCT.asv, 207 , 2012-06-16
演示\work\LENADCT.m, 147 , 2011-04-26
演示\work\LENADWT2.m, 246 , 2012-05-09
演示\work\lenaedge.asv, 362 , 2013-06-16
演示\work\lenaedge.m, 361 , 2013-06-16
演示\work\LENAIDCT.asv, 307 , 2013-05-14
演示\work\LENAIDCT.m, 316 , 2013-05-14
演示\work\LENAIFFT.m, 216 , 2011-04-26
演示\work\LENASHIFT.m, 215 , 2011-04-26
演示\work\lenasobel.m, 145 , 2012-05-13
演示\work\lenasober.asv, 144 , 2012-05-13
演示\work\LOGEDGE.m, 128 , 2013-06-16
演示\work\mean2.asv, 229 , 2012-06-16
演示\work\mean2.m, 227 , 2012-06-16
演示\work\names.asv, 198 , 2012-05-31
演示\work\names.jpg, 38872 , 2012-05-31
演示\work\names.m, 198 , 2012-05-31
演示\work\peppers.bmp, 108954 , 2012-05-13
演示\work\peppers.TIF, 593404 , 2011-04-24
演示\work\PEPPERSCOLOUR.asv, 143 , 2012-05-13
演示\work\PEPPERSCOLOUR.m, 125 , 2014-05-02
演示\work\POUT-FFT2.asv, 119 , 2011-05-14
演示\work\POUTDCT2.asv, 391 , 2011-05-14
演示\work\POUTDCT2.m, 124 , 2011-05-14
演示\work\POUTDWT.asv, 194 , 2012-05-13
演示\work\POUTDWT.m, 226 , 2012-05-09
演示\work\POUTDWT2.asv, 190 , 2011-05-14
演示\work\POUTDWT2.m, 392 , 2011-05-14
演示\work\POUTFFT2.asv, 157 , 2012-05-13
演示\work\POUTFFT2.m, 182 , 2013-05-21
演示\work\POUTHISTEQ.m, 166 , 2011-05-25
演示\work\POUTIDCT2.m, 178 , 2011-05-14
演示\work\POUTIDWT2.asv, 582 , 2011-05-14
演示\work\POUTIDWT2.m, 594 , 2011-05-14
演示\work\POUTIFFT2.m, 204 , 2011-05-14
演示\work\POUTIMADJUST.m, 182 , 2011-05-14
演示\work\POUTshift.m, 249 , 2013-05-14
演示\work\ricelaplacian.m, 146 , 2012-05-13
演示\work\ricenoise.m, 269 , 2012-05-13
演示\work\riceroberts.asv, 230 , 2012-05-13
演示\work\riceroberts.m, 128 , 2012-05-13
演示\work\ROBERT.m, 126 , 2011-05-18
演示\work\ROBERTeight.m, 127 , 2011-05-18
演示\work\std.m, 31 , 2012-06-16
演示\work\TIREHISTEQ.asv, 170 , 2011-05-14
演示\work\TIREHISTEQ.m, 166 , 2012-05-09
演示\work\TIREmean.m, 85 , 2012-06-16
演示\work\watermarked.m, 2021 , 2011-06-24
演示\work\y.m, 149 , 2013-05-13
演示\work\图像, 0 , 2019-06-12
演示\work\图像\autumn.tif, 213642 , 2000-12-04
演示\work\图像\baboon.tiff, 1008078 , 2007-05-27
演示\work\图像\bacteria.tif, 30360 , 2011-04-24
演示\work\图像\blood.tif, 72524 , 2011-04-24
演示\work\图像\bonemarr.tif, 64718 , 2011-04-24
演示\work\图像\building.TIF, 50680 , 2011-04-24
演示\work\图像\cameraman.tif, 65240 , 2000-12-04
演示\work\图像\car.bmp, 44154 , 2011-06-19
演示\work\图像\cell.tif, 31028 , 2001-02-21
演示\work\图像\copyright.bmp, 23574 , 2011-06-19
演示\work\图像\eight.tif, 59640 , 2000-12-04

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    适用于高光谱图像目标检测的端元提取,该方法效果好(HYPERICAEEA Performs the ICA-Endmember Extraction Algorithm HyperIcaEea performs the ICA-EEA algorithm to generate abundance maps and find pure pixels. This function utilizes FastICA.)
    2012-03-30 08:43:27下载
    积分:1
  • guiyihua
    这个是把图像归一化的程序,原始的图片可以随意设置,效果比较好。(This is the image of the normalized program, the original pictures can freely set, the effect is good. )
    2012-04-27 16:52:29下载
    积分:1
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    北斗二代接收机中的跟踪程序,模块有载波环(二阶FLL,三阶PLL),FLL辅助PLL,码环是用二阶DLL,再用载波环辅助码环(Compass II receiver tracking program, module carrier ring (second-order FLL, the third-order PLL), FLL auxiliary PLL, code ring is by Second DLL, then the carrier ring auxiliary code ring)
    2021-05-16 10:30:01下载
    积分:1
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    积分:1
  • 2
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    2013-07-16 11:38:37下载
    积分:1
  • example
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    积分:1
  • sigmoid
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    2012-03-05 10:39:01下载
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    2020-11-10 10:39:46下载
    积分:1
  • m11
    混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal components analysis, PCA) 方法来刻画椭球体背景模型, 提出了一种基于主成分分析的Codebook 背景建模算法. 实验表明, 本文算法不仅能够更准确地描述背景像素值在RGB 空间中的分布特征, 而且具有良好的鲁棒性.(The background modeling algorithm of mixture of Gaussian (MOG) and codebook is widely used in moving object detection of surveillance video. However, the ball model of MOG usually assumes that the three components of RGB are independent, while the cylinder model of codebook assumes that the value of background pixel is distributed uniformly within the cylinder and the changing direction of brightness points to the origin of the coordinate system. These assumptions reduce the descriptive capability for background modeling. Therefore, the paper proposes an ellipsoid- based background model, which overcomes the MOG and codebook0s limitations. By using principal component analysis to depict the ellipsoid background model, a novel PCA-based codebook background modeling algorithm is proposed. Experiments show that this algorithm can not only give more accurate description of the distribution of background pixels but also have a better robustness.)
    2014-04-15 11:11:55下载
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    2020-10-21 14:04:25下载
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