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演示

于 2020-06-25 发布 文件大小:12840KB
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  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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    2019-05-10 09:44:39下载
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    说明：  图像融合是图像处理的一个研究热点，这里提供一种方法即局部能量最大选取规则图像融合法(Image fusion is image processing of a research hot spot that is here to provide a way to select the rules of the local energy of the largest image fusion method)
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    2013-01-29 16:36:40下载
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    提出了一种基于图像边缘连接的线段检测方法。数字图像中的线段是由很多线段图元组成,在同一 条线段中,它们的方向是相同的并且受到真实线段的方向约束。因此可以通过提取小的线段图元, 然后分析它们 的连接特性, 进行线段的检测。首先用ADM 算法对图像进行边缘检测, 得到单像素宽的边缘 然后在4 个方向上 进行线段的检测 对初步得到的结果进行合并和验证, 去掉短的线段, 连接临近的线段。经过实验证明, 该方法能 够快速地提取图像中的线段,并且对噪声具有一定的鲁棒性(A line segment connecting a detection method based on image edges. The segment of the digital image is composed by many segments elements, their orientation is the same and by the real line segment direction constraint in the same segment. By extracting a small segment Element can then analyze their connection characteristics for the detection of the line segment. First with ADM algorithm for edge detection on the image to obtain a single-pixel-wide edge then in the four directions on the detection of the line segments merger and verification of the preliminary results obtained, removing the short line segments, the line segments connected near. The experiments show that this method can quickly extract the line segments in the image, and certain robustness to noise)
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