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76739082nonrigid_version16

于 2020-06-21 发布 文件大小:588KB
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代码说明:

  多种刚性和非刚性配准算法,带有举例说明,非常好用(Multiple Rigid and Non-Rigid Registration Algorithms)

文件列表:

license.txt, 1335 , 2009-05-29
nonrigid_version16, 0 , 2009-05-28
nonrigid_version16\compile_c_files.m, 588 , 2009-03-13
nonrigid_version16\examples, 0 , 2009-05-26
nonrigid_version16\examples\addpaths.m, 382 , 2009-02-24
nonrigid_version16\examples\example_2d_affine.m, 1257 , 2009-02-24
nonrigid_version16\examples\example_2d_nonrigid_1.m, 1921 , 2009-05-26
nonrigid_version16\examples\example_2d_nonrigid_2.m, 2206 , 2009-05-26
nonrigid_version16\examples\example_2d_nonrigid_3.m, 1654 , 2009-02-06
nonrigid_version16\examples\example_3d_affine.m, 1572 , 2009-05-26
nonrigid_version16\examples\example_3d_nonrigid.m, 2126 , 2009-03-26
nonrigid_version16\examples\get_example_data.m, 1427 , 2009-03-19
nonrigid_version16\functions, 0 , 2009-05-29
nonrigid_version16\functions\backwards2forwards.m, 1600 , 2009-03-26
nonrigid_version16\functions\backwards2forwards_2d_double.c, 4997 , 2009-05-29
nonrigid_version16\functions\backwards2forwards_2d_double.m, 2040 , 2009-02-06
nonrigid_version16\functions\backwards2forwards_3d_double.c, 7648 , 2009-05-29
nonrigid_version16\functions\backwards2forwards_3d_single.c, 7785 , 2009-05-29
nonrigid_version16\functions\fminlbfgs.m, 31779 , 2009-05-20
nonrigid_version16\functions\image_difference.m, 10227 , 2009-05-26
nonrigid_version16\functions\imgaussian.m, 1352 , 2009-02-06
nonrigid_version16\functions\imresize3d.m, 1239 , 2009-02-06
nonrigid_version16\functions\make_grid_image.m, 1620 , 2009-02-06
nonrigid_version16\functions\make_init_grid.m, 2341 , 2009-02-06
nonrigid_version16\functions\maple_penalties_smoothing_2d.mw, 149221 , 2009-02-06
nonrigid_version16\functions\maple_penalties_smoothing_3d.mw, 258016 , 2009-02-06
nonrigid_version16\functions\mutual_histogram_double.c, 3716 , 2009-05-29
nonrigid_version16\functions\mutual_histogram_double.m, 1491 , 2009-02-06
nonrigid_version16\functions\mutual_histogram_single.c, 3692 , 2009-05-29
nonrigid_version16\functions\penalties_smoothness.m, 5232 , 2009-04-15
nonrigid_version16\functions\penalty_matrix.mat, 11996 , 2009-03-17
nonrigid_version16\functions\refine_grid.m, 4312 , 2009-03-26
nonrigid_version16\functions\showcs3.fig, 4935 , 2009-02-06
nonrigid_version16\functions\showcs3.m, 7820 , 2009-02-06
nonrigid_version16\functions\squared_difference_double.c, 1276 , 2009-05-29
nonrigid_version16\functions\squared_difference_single.c, 1271 , 2009-05-29
nonrigid_version16\functions\strain.m, 2268 , 2009-02-06
nonrigid_version16\functions_affine, 0 , 2009-05-29
nonrigid_version16\functions_affine\affine_error_3d_double.c, 19825 , 2009-05-29
nonrigid_version16\functions_affine\affine_error_3d_single.c, 19804 , 2009-05-29
nonrigid_version16\functions_affine\affine_registration_error.m, 11081 , 2009-05-26
nonrigid_version16\functions_affine\affine_registration_image.m, 2266 , 2009-04-15
nonrigid_version16\functions_affine\affine_transform.m, 911 , 2009-04-15
nonrigid_version16\functions_affine\affine_transform_2d_double.c, 17129 , 2009-05-29
nonrigid_version16\functions_affine\affine_transform_2d_double.m, 2668 , 2009-05-26
nonrigid_version16\functions_affine\affine_transform_3d_double.c, 13648 , 2009-05-29
nonrigid_version16\functions_affine\affine_transform_3d_single.c, 13661 , 2009-05-29
nonrigid_version16\functions_affine\make_transformation_matrix.m, 2650 , 2009-05-26
nonrigid_version16\functions_nonrigid, 0 , 2009-05-29
nonrigid_version16\functions_nonrigid\bspline_registration_gradient.m, 23666 , 2009-04-15
nonrigid_version16\functions_nonrigid\bspline_registration_image.m, 1899 , 2009-04-15
nonrigid_version16\functions_nonrigid\bspline_transform.m, 2241 , 2009-04-15
nonrigid_version16\functions_nonrigid\bspline_transform_2d_double.c, 22597 , 2009-05-29
nonrigid_version16\functions_nonrigid\bspline_transform_2d_double.m, 4123 , 2009-04-15
nonrigid_version16\functions_nonrigid\bspline_transform_3d_double.c, 18966 , 2009-05-29
nonrigid_version16\functions_nonrigid\bspline_transform_3d_single.c, 18934 , 2009-05-29
nonrigid_version16\functions_nonrigid\movepixels.m, 1505 , 2009-04-15
nonrigid_version16\functions_nonrigid\movepixels_2d_double.c, 16353 , 2009-05-29
nonrigid_version16\functions_nonrigid\movepixels_2d_double.m, 2245 , 2009-04-15
nonrigid_version16\functions_nonrigid\movepixels_3d_double.c, 12774 , 2009-05-29
nonrigid_version16\functions_nonrigid\movepixels_3d_single.c, 12809 , 2009-05-29
nonrigid_version16\images, 0 , 2009-05-26
nonrigid_version16\images\brain1.png, 68075 , 2009-02-06
nonrigid_version16\images\brain2.png, 67894 , 2009-02-06
nonrigid_version16\images\brain3.png, 65878 , 2009-02-06
nonrigid_version16\images\landmarks.mat, 326 , 2009-04-14
nonrigid_version16\images\landmarks1.png, 899 , 2009-04-14
nonrigid_version16\images\landmarks2.png, 776 , 2009-04-14
nonrigid_version16\images\lena.jpg, 10757 , 2005-09-27
nonrigid_version16\images\lenag1.png, 34678 , 2009-02-06
nonrigid_version16\images\lenag2.png, 36184 , 2009-02-06
nonrigid_version16\images\lenag3.png, 41466 , 2009-02-06
nonrigid_version16\images\lenag4.png, 50632 , 2009-02-06
nonrigid_version16\register_images.m, 16430 , 2009-05-26
nonrigid_version16\register_volumes.m, 16206 , 2009-05-26
nonrigid_version16\single threading.zip, 37421 , 2009-05-28

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  • 0056357
    读取与显示JPG等格式图像文件,Visual C++编程技巧精选,很好的参考资料。(Read and display JPG format image files, Visual C++ programming skills selected, a good reference.)
    2013-11-17 06:26:42下载
    积分:1
  • matlab实验程序
    说明:  (1)利用matlab函数进行噪声模拟,并用matlab自带函数进行图像滤波。 (2)利用给定图像自己编程实现使用均值滤波器、中值滤波器对不同强度的高斯噪声和椒盐噪声,进行滤波处理,并对结果进行评价分析,并解释结果。 (3)自己编程实现laplacian算子图像的处理,实现图像增强;编程实现sobel算子对图像边缘提取。将结果与matlab自带函数计算结果比较。 (4)利用模糊处理对图的灰度值进行改变实现灰度增强,并与直方图均衡结果比较((1) Matlab function is used to simulate noise, and Matlab function is used to filter image. (2) Using the given image, we use the mean filter and median filter to filter the Gaussian noise and salt and pepper noise with different intensities, evaluate and analyze the results, and interpret the results. (3) The image processing of Laplacian operator and image enhancement are realized by programming Sobel operator is used to extract image edge. The results are compared with those of MATLAB. (4) Fuzzy processing is used to change the gray value of the image to achieve gray enhancement and balance with histogram)
    2020-07-19 14:29:09下载
    积分:1
  • computer_vision_work
    自动图像拼接,利用SIFT特征匹配算法,RANSAC(random sample consensus)算法,加权平滑算法等技术克服了传统图像拼接技术中的局限性(如光照、尺度变化的影响等),实现了光照和尺度变化条件下的多视角无缝图像拼接(Automatic Image Stitching  Local features detection  Features Matching  Homography Estimation RANSAC Image blending )
    2020-08-29 10:58:14下载
    积分:1
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    登录账号 admin  密码 111111  wpf做的 oa系统,用的 sqlce数据库
    2015-01-24下载
    积分:1
  • IRandvisbletuxiangpeizhun
    针对可见光与红外图像的特点和难点,提出了可见光与红外图像配准与融合中的关键技术,即: 使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗 配准 使用新型的特征点提取方法,特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基 于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合. (For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode.)
    2009-04-20 11:49:14下载
    积分:1
  • reconstruction_algorithms
    本代码主要给出了激光粒度仪颗粒散射光强分布以及4种粒度反演算法,以及4种算法之间的比较。四种反演算法为:TSVD、Chaine、Tikhonov和l1正则化。(The code gives the Zetasizer particle scattering intensity distribution, and four kinds of particle inversion algorithm, as well as a comparison between the four algorithms. Four kinds of inversion algorithm is: TSVD, Chaine, Tikhonov and l1 regularization.)
    2020-08-13 23:28:29下载
    积分:1
  • CSC.EGBIS.JSEG.Meanshift
    经典的4种彩色图像分割方法:CSC.EGBIS.JSEG.Meanshift 的VC++实现;及相关英文文献。绝对值得拥有!哈哈...(The classic four kinds of color image segmentation method: CSC.EGBIS.JSEG.Meanshift of VC++ implementation and the relevant literature in English. Definitely worth having!ha ha ...)
    2010-03-08 17:16:14下载
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    积分:1
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    积分:1
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    sift角点检测及匹配,在不同尺度空间下的角点检测方法,很方便实用。(sift corner detection and matching, the corner detection methods under different scales of space, it is convenient and practical.)
    2013-12-08 17:25:35下载
    积分:1
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