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quickshift_superpixel

于 2010-05-07 发布文件大小:1073KB

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下载积分: 1 下载次数: 164

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代码说明：

图像分割画红线分割实现图像矩阵的分块非常简便(Draw the red line segmentation of image segmentation is very simple block matrix)

文件列表：

quickshift_superpixel\C Source\quickshift.c
quickshift_superpixel\C Source\quickshift.h
quickshift_superpixel\C Source
quickshift_superpixel\demo.m
quickshift_superpixel\demo_all.m
quickshift_superpixel\demo_N_Cuts.m
quickshift_superpixel\Filter-banks_17D\calculateGaussian1ndDerivative.m
quickshift_superpixel\Filter-banks_17D\calculateGaussian2ndDerivative.m
quickshift_superpixel\Filter-banks_17D\calculateGaussianKernel1D.m
quickshift_superpixel\Filter-banks_17D\computeFilterBanks_1D.m
quickshift_superpixel\Filter-banks_17D\demoFilter.m
quickshift_superpixel\Filter-banks_17D\filter_17D.m
quickshift_superpixel\Filter-banks_17D\P1040520.bmp
quickshift_superpixel\Filter-banks_17D\rgb2lab.m
quickshift_superpixel\Filter-banks_17D\showFilterBanks.m
quickshift_superpixel\Filter-banks_17D
quickshift_superpixel\Microsoft.VC90.CRT.manifest
quickshift_superpixel\msvcm90.dll
quickshift_superpixel\msvcp90.dll
quickshift_superpixel\msvcr90.dll
quickshift_superpixel\myfile.txt
quickshift_superpixel\pic\IMG0153A.bmp
quickshift_superpixel\pic
quickshift_superpixel\segImage.m
quickshift_superpixel\Untitled.m
quickshift_superpixel\vl.dll
quickshift_superpixel\vl_binsum.mexw32
quickshift_superpixel\vl_flatmap.m
quickshift_superpixel\vl_imseg.m
quickshift_superpixel\vl_quickseg.m
quickshift_superpixel\vl_quickshift.c
quickshift_superpixel\vl_quickshift.m
quickshift_superpixel\vl_quickshift.mexw32
quickshift_superpixel\vl_rgb2xyz.m
quickshift_superpixel\vl_xyz2lab.m
quickshift_superpixel

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gmm
EM算法以及混合高斯模型，c++实现，控制台程序，函数调用很简单方便。可以在低版本vc6.0运行。(EM algorithm and hybrid Gauss model, c++ implementation, the console program, function call is very simple and convenient. Can be run at low vc6.0.)

2015-11-19 16:20:15下载

积分：1
subbands
图像经过小波变换之后提取子带系数源代码在MATLAB中的实现(subbands in matlab)

2011-06-01 00:13:21下载

积分：1
code_absorb_MC
此代码为显著性检测代码，显著性检测效果不错(This code is a significant detection code to detect significant good results)

2014-08-13 16:14:44下载

积分：1
gmkl
gmkl算法源码，广义多核学习，可用图像多类分类。(gmkl algorithm source, the a generalized multicore learning, free image multi-class classification.)

2021-01-07 19:18:53下载

积分：1
CS_OMP
这是香港大学沙威博士写的压缩感知引论及相应的OMP算法。(This is written by the University of Hong Kong, Dr Savit compressed sensing cited dealt with the OMP algorithm.)

2012-04-16 16:27:47下载

积分：1
Sprite1
对视频生成sprite图像，费了作者很大的力气，拿来与大家共享！(sprite generation of video images, and a lot of effort author, used to share with you!)

2007-05-10 14:45:40下载

积分：1
ROC
目前最重要的图像变化检测评价标准：roc曲线，以及roc曲线下面积。(ROC curve of image change detection)

2013-07-23 21:44:55下载

积分：1
mean_shift_segmentation
mean shift图像分割软件,只能对灰度图像进行处理,如果对彩色图像进行处理,需要转换(mean shift image segmentation software, only for grayscale image processing, if the right color image processing, needs to be converted)

2010-03-02 14:40:29下载

积分：1
dtcwpt
2-band discrete wavelet transform (DWT) Dual-Tree Complex Wavelet Packet(The 2-band discrete wavelet transform (DWT) provides an octave-band analysis in the frequency domain, but this might not be ‘optimal’ for a given signal. The discrete wavelet packet transform (DWPT) provides a dictionary of bases over which one can search for an optimal representation (without constraining the analysis to an octave-band one) for the signal at hand. However, it is well known that both the DWT and the DWPT are shift-varying. Also, when these transforms are extended to 2-D and higher dimensions using tensor products, they do not provide a geometrically oriented analysis. The dual-tree complex wavelet transform (DT-CWT), introduced by Kingsbury, is approximately shift-invariant and provides directional analysis in 2-D and higher dimensions. In this paper, we propose a method to implement a dual-tree complex wavelet packet transform (DTCWPT), extending the DT-CWT as the DWPT extends the DWT. To find the best complex wavelet packet frame for a given signal, w)

2009-07-01 06:16:20下载

积分：1
.zip
对场景分类和语义特征稀疏化的高层图像表示(Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification)

2013-10-16 14:57:56下载

积分：1

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