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dtcwt_toolbox

于 2021-03-30 发布 文件大小:169KB
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代码说明:

  经典的双树复小波分解包经典的双树复小波分解包经典的双树复小波分解包(a toolbox of dtcwta toolbox of dtcwta toolbox of dtcwt)

文件列表:

dtcwt_toolbox
.............\abs_max.m
.............\antonini.mat
.............\by_complexfusion.asv
.............\by_complexfusion.m
.............\cimage5.m
.............\coldfilt.m
.............\coldwtfilt.m
.............\colfilter.m
.............\colifilt.m
.............\coliwtfilt.m
.............\colorspace.m
.............\dDTCWT.m
.............\derotated DT-CWT.asv
.............\derotatedDTCWT.asv
.............\derotated_dtcwt.asv
.............\derotated_dtcwt.m
.............\draw.m
.............\drawcirc.m
.............\dtwaveifm.m
.............\dtwaveifm2.m
.............\dtwavexfm.m
.............\dtwavexfm2.m
.............\gfilter.m
.............\I_medfilt.asv
.............\I_medfilt.m
.............\jtestinterpolation.m
.............\legall.mat

.............\lenna.mat
.............\main.asv
.............\main.m
.............\main1.asv
.............\main1.m
.............\M_interp.m
.............\near_sym_a.mat
.............\near_sym_b.mat
.............\q2c.m
.............\qshift_06.mat
.............\qshift_32.mat
.............\qshift_a.mat
.............\qshift_b.mat
.............\qshift_c.mat
.............\qshift_d.mat
.............\README.TXT
.............\reflect.m
.............\seg.m
.............\setfig.m
.............\SETTITLE.M
.............\shiftmovie.m
.............\shift_test_1D.m
.............\shift_test_2D.m
.............\sobel.m
.............\waveifm.m
.............\waveifm2.m
.............\wavexfm.m
.............\wavexfm2.m
.............\边缘检测
.............\........\canny_edge.m


.............\........\laplacian.m
.............\........\sobel.m
.............\........\sobel_edge.m
.............\........\基于小波的边缘提取程序.m

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    积分:1
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    可以实现bmp图象的sobel边缘检测运算,并含有可图象重建功能。简单,易懂,使用了DIB接口,适合作数字图象处理的初学者作参考(Bmp images can be achieved sobel edge detection operator, and contains the reconstruction of functional images. Simple, understandable, the use of the DIB interface, suitable for beginners of digital image processing for information)
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