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SuperPixelMerge

于 2021-01-11 发布 文件大小:17272KB
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代码说明：

  这是一个基于超像素算法的分割小软件，可以用于图像的分割，但是没有语义。使用者如果用于商用，要联系软件中的作者(This is a small software based on super-pixel algorithm, which can be used for image segmentation, but without semantics. Users for commercial use should contact the authors in the software.)

文件列表：

1.bmp, 1738518 , 2017-03-08
2.bmp, 2878518 , 2017-03-21
demo.bmp, 2202678 , 2017-03-21
Demo_Matlab.m, 1651 , 2017-12-07
GraphSeg, 0 , 2017-03-21
GraphSeg\binaryHeap.h, 5295 , 2014-02-12
GraphSeg\BuildGLTree.mexw64, 9216 , 2017-03-21
GraphSeg\coherenceFilter, 0 , 2017-03-21
GraphSeg\coherenceFilter\CoherenceFilter.m, 9898 , 2014-02-12
GraphSeg\coherenceFilter\compile_c_files.m, 1007 , 2014-02-12
GraphSeg\coherenceFilter\functions, 0 , 2017-03-21
GraphSeg\coherenceFilter\functions2D, 0 , 2017-03-21
GraphSeg\coherenceFilter\functions2D\CoherenceFilterStep2D.c, 6148 , 2014-02-12
GraphSeg\coherenceFilter\functions2D\CoherenceFilterStep2D.m, 618 , 2014-02-12
GraphSeg\coherenceFilter\functions2D\CoherenceFilterStep2D_functions.c, 13418 , 2014-02-12
GraphSeg\coherenceFilter\functions2D\ConstructDiffusionTensor2D.m, 687 , 2014-02-12
GraphSeg\coherenceFilter\functions2D\diffusion_scheme_2D_implicit.m, 2279 , 2014-02-12
GraphSeg\coherenceFilter\functions2D\diffusion_scheme_2D_non_negativity.m, 1925 , 2014-02-12
GraphSeg\coherenceFilter\functions2D\diffusion_scheme_2D_rotation_invariant.m, 1103 , 2014-02-12
GraphSeg\coherenceFilter\functions2D\diffusion_scheme_2D_standard.m, 1475 , 2014-02-12
GraphSeg\coherenceFilter\functions2D\EigenVectors2D.m, 879 , 2014-02-12
GraphSeg\coherenceFilter\functions2D\StructureTensor2D.m, 667 , 2014-02-12
GraphSeg\coherenceFilter\functions3D, 0 , 2017-03-21
GraphSeg\coherenceFilter\functions3D\CoherenceFilterStep3D.c, 6372 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\CoherenceFilterStep3D.m, 625 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\CoherenceFilterStep3D_functions.c, 36356 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\diffusion_scheme_3D_implicit.m, 3328 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\diffusion_scheme_3D_non_negativity.c, 8099 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\diffusion_scheme_3D_non_negativity.m, 3076 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\diffusion_scheme_3D_rotation_invariant.c, 13234 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\diffusion_scheme_3D_rotation_invariant.m, 1164 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\diffusion_scheme_3D_standard.c, 5912 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\diffusion_scheme_3D_standard.m, 2653 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\EigenDecomposition3.c, 10689 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\EigenDecomposition3.h, 158 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\EigenVectors3D.c, 3559 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\EigenVectors3D.m, 1490 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\StructureTensor2DiffusionTensor3DWeickert.c, 4784 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\StructureTensor2DiffusionTensor3DWeickert.m, 1567 , 2014-02-12
GraphSeg\coherenceFilter\functions3D\StructureTensor3D.m, 600 , 2014-02-12
GraphSeg\coherenceFilter\functions\derivatives.c, 23053 , 2014-02-12
GraphSeg\coherenceFilter\functions\derivatives.m, 3272 , 2014-02-12
GraphSeg\coherenceFilter\functions\imgaussian.c, 22519 , 2014-02-12
GraphSeg\coherenceFilter\functions\imgaussian.m, 2073 , 2014-02-12
GraphSeg\coherenceFilter\functions\showcs3.fig, 4935 , 2014-02-12
GraphSeg\coherenceFilter\functions\showcs3.m, 8626 , 2014-02-12
GraphSeg\coherenceFilter\images, 0 , 2017-03-21
GraphSeg\coherenceFilter\images\sphere.mat, 987453 , 2014-02-12
GraphSeg\coherenceFilter\images\sync.png, 43117 , 2014-02-12
GraphSeg\coherenceFilter\images\sync_noise.png, 58904 , 2014-02-12
GraphSeg\coherenceFilter\images\Thumbs.db, 12288 , 2014-02-12
GraphSeg\DeleteGLTree.mexw64, 7168 , 2017-03-21
GraphSeg\GLtree3DMex, 0 , 2017-03-21
GraphSeg\GLtree3DMex\BuildGLTree.cpp, 1712 , 2014-02-12
GraphSeg\GLtree3DMex\BuildGLTree.m, 1038 , 2014-02-12
GraphSeg\GLtree3DMex\DeleteGLTree.cpp, 1007 , 2014-02-12
GraphSeg\GLtree3DMex\DeleteGLTree.m, 652 , 2014-02-12
GraphSeg\GLtree3DMex\GLTree.cpp, 20998 , 2014-02-12
GraphSeg\GLtree3DMex\GLTree.h, 819 , 2014-02-12
GraphSeg\GLtree3DMex\KNNSearch.cpp, 3904 , 2014-02-12
GraphSeg\GLtree3DMex\KNNSearch.m, 1367 , 2014-02-12
GraphSeg\GLtree3DMex\TestMexFiles.m, 1469 , 2014-02-12
GraphSeg\GraphSeg.h, 11291 , 2014-02-12
GraphSeg\graphSeg.m, 1986 , 2014-02-12
GraphSeg\GraphSeg_mex.cpp, 2440 , 2014-02-12
GraphSeg\GraphSeg_mex.mexw64, 12288 , 2017-03-21
GraphSeg\knng_search.m, 1076 , 2014-02-12
GraphSeg\KNNSearch.mexw64, 15360 , 2017-03-21
GraphSeg\license.txt, 1500 , 2014-02-12
GraphSeg\test_GraphSeg.m, 2319 , 2017-04-06
mean shift, 0 , 2017-04-08
mean shift\compile_edison_wrapper.m, 473 , 2015-10-03
mean shift\demo.m, 111 , 2017-04-08
mean shift\edge, 0 , 2015-10-03
mean shift\edge\BgDefaults.h, 2262 , 2015-10-03
mean shift\edge\BgEdge.cpp, 1960 , 2015-10-03
mean shift\edge\BgEdge.h, 771 , 2015-10-03
mean shift\edge\BgEdgeDetect.cpp, 38247 , 2017-04-08
mean shift\edge\BgEdgeDetect.h, 4709 , 2015-10-03
mean shift\edge\BgEdgeList.cpp, 4784 , 2017-04-08
mean shift\edge\BgEdgeList.h, 841 , 2017-04-08
mean shift\edge\BgGlobalFc.cpp, 10123 , 2015-10-03
mean shift\edge\BgImage.cpp, 7378 , 2015-10-03
mean shift\edge\BgImage.h, 1975 , 2015-10-03
mean shift\edison_matlab_interface.tar.gz, 1296971 , 2015-10-03
mean shift\edison_wrapper.m, 6068 , 2015-10-03
mean shift\edison_wrapper_mex.cpp, 8631 , 2015-10-03
mean shift\edison_wrapper_mex.h, 746 , 2015-10-03
mean shift\edison_wrapper_mex.mexa64, 115147 , 2015-10-03
mean shift\edison_wrapper_mex.mexw32, 49152 , 2015-10-03
mean shift\edison_wrapper_mex.mexw64, 60416 , 2017-04-08
mean shift\edison_wrapper_mex.opt, 43520 , 2015-10-03
mean shift\GUI, 0 , 2015-10-03
mean shift\GUI\BgImagPGM.cpp, 4958 , 2015-10-03
mean shift\GUI\BgImagPGM.h, 1388 , 2015-10-03
mean shift\GUI\BgImagPNM.cpp, 4579 , 2015-10-03
mean shift\GUI\BgImagPNM.h, 1299 , 2015-10-03
mean shift\GUI\bgimsystem.cpp, 230097 , 2015-10-03
mean shift\GUI\bgimsystem.h, 24740 , 2015-10-03
mean shift\GUI\icons, 0 , 2015-10-03

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0 个回复

  • IIP
    只能信息树立的相关课件和Matlab源代码，对于学习只能信息处理的学员很有帮助。(Information can only be set by the relevant courseware and Matlab source code, for students to study information processing can only be helpful.)
    2009-12-05 17:08:04下载
    积分：1
  • idl
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  • inverse
    O(n*logn)时间内的求逆序的算法控制台程序，算法实现效率较高。可迅速求出随即生成的数字的逆序数(O (n* logn) time algorithm for reverse console process, algorithm more efficient. Can be generated quickly obtained immediately reverse digit number)
    2008-07-11 21:33:10下载
    积分：1
  • 75448137OpenSURF_Matlab
    这是一种实现数字图像拼接的surf算法的matlab程序，能够取得不错的效果。(This is a digital image mosaic surf algorithm matlab program, can achieve good results.)
    2021-04-29 15:48:42下载
    积分：1
  • 1
    说明：  视频图像处理相关，用傅立叶相关算法，给图像分割，达到预期效果。(Video image processing associated with Fourier correlation algorithm to image segmentation, to achieve the desired effect.)
    2014-06-20 21:21:48下载
    积分：1
  • weixing
    一个卫星绕地球转的程序。。。。。。。。。。(A satellite around the earth' s rotation program)
    2009-09-21 16:14:24下载
    积分：1
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    Adaboost训练分类器的源代码，是快速人脸检测的必备。(It is the code for training classifiers by Adaboost to Face Detection)
    2010-03-10 21:23:11下载
    积分：1
  • med
    matlab中值平滑处理,主要是用5点平滑和3点平滑实现(matlab median smoothing was used in 5-point smoothing and 3 points to achieve smooth)
    2009-11-03 11:38:00下载
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    说明：  采用K-SVD对图像进行去噪处理。可以对不同类型的图像进行去噪处理。(Image denoising using K-SVD)
    2019-06-06 19:56:25下载
    积分：1
  • compared
    对比BP，OMP，StOMP对自然图像的重构效果,输入图像是一幅256*256的lena图像，我们使用压缩采样后，再用上述三种方法对其进行重构，比较其结果，其中StOMP方法是用不同的阈值(Contrast to BP, OMP, StOMP effect on the reconstruction of natural images, input image is a 256* 256 lena image, we use the compressed sampled, and then reconstruct them the above-mentioned three methods to compare their results, which StOMP method is to use different thresholds)
    2021-03-08 21:59:28下载
    积分：1
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