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grabcut

于 2020-11-02 发布 文件大小:709KB
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下载积分: 1 下载次数: 16
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代码说明：

  matlab中实现grabcut，已经编译调试好了，直接运行就可以了(the code of grabcut,you can run it in matlab without debug)

文件列表：

BK_AddVars.m, 320 , 2015-05-04
BK_BuildLib.m, 2420 , 2015-05-04
BK_Create.m, 711 , 2015-05-04
BK_Delete.m, 206 , 2015-05-04
BK_GetLabeling.m, 235 , 2015-05-04
BK_ListHandles.m, 360 , 2015-05-04
BK_LoadLib.m, 496 , 2015-05-04
BK_Minimize.m, 278 , 2015-05-04
BK_SetNeighbors.m, 1157 , 2015-05-04
BK_SetPairwise.m, 760 , 2015-05-04
BK_SetUnary.m, 1022 , 2015-05-04
BK_UnitTest.m, 5854 , 2015-05-04
README.md, 2212 , 2015-05-04
assign_gauss.m, 1468 , 2015-05-04
bin, 0 , 2018-04-13
bin_graphcuts, 0 , 2018-03-11
bin_graphcuts\BK_AddVars.m, 320 , 2015-05-04
bin_graphcuts\BK_BuildLib.m, 2420 , 2015-05-04
bin_graphcuts\BK_Create.m, 711 , 2015-05-04
bin_graphcuts\BK_Delete.m, 206 , 2015-05-04
bin_graphcuts\BK_GetLabeling.m, 235 , 2015-05-04
bin_graphcuts\BK_ListHandles.m, 360 , 2015-05-04
bin_graphcuts\BK_LoadLib.m, 496 , 2015-05-04
bin_graphcuts\BK_Minimize.m, 278 , 2015-05-04
bin_graphcuts\BK_SetNeighbors.m, 1157 , 2015-05-04
bin_graphcuts\BK_SetPairwise.m, 760 , 2015-05-04
bin_graphcuts\BK_SetUnary.m, 1022 , 2015-05-04
bin_graphcuts\BK_UnitTest.m, 5854 , 2015-05-04
bin_graphcuts\bin, 0 , 2018-03-11
bin_graphcuts\bin\bk_matlab.mexmaci64, 35824 , 2015-05-04
bin_graphcuts\bin\bk_matlab.mexw64, 44032 , 2015-10-03
bin_graphcuts\bk_matlab.cpp, 14168 , 2018-03-20
bin_graphcuts\block.h, 7466 , 2015-05-04
bin_graphcuts\energy.h, 11038 , 2015-05-04
bin_graphcuts\graph.cpp, 3005 , 2015-05-04
bin_graphcuts\graph.h, 18100 , 2015-05-04
bin_graphcuts\maxflow.cpp, 17631 , 2015-05-04
bin_graphcuts\test2.jpg.html, 495 , 2015-05-04
bk_matlab.cpp, 14168 , 2018-03-20
bk_matlab.mexmaci64, 35824 , 2015-05-04
bk_matlab.mexw64, 44032 , 2015-10-03
block.h, 7466 , 2015-05-04
compute_pairwise.m, 2987 , 2015-05-04
compute_unary.m, 702 , 2015-05-04
cut_Tu.m, 1977 , 2015-05-04
energy.h, 11038 , 2015-05-04
fit_gmm.m, 735 , 2015-05-04
get_rgb_double.m, 433 , 2015-05-04
grabcut.m, 2310 , 2015-05-04
graph.cpp, 3005 , 2015-05-04
graph.h, 18100 , 2015-05-04
maxflow.cpp, 17631 , 2015-05-04
mytest.m, 246 , 2018-04-13
results, 0 , 2018-04-13
results\11.jpg, 79792 , 2015-09-20
results\test1.jpg, 14719 , 2015-05-04
results\test1_cut.png, 37666 , 2015-05-04
results\test2.png, 67042 , 2015-05-04
results\test2_cut.png, 36564 , 2015-05-04
results\test2_out.jpg, 6014 , 2018-04-13
results\test3.jpg, 36221 , 2015-05-04
results\test3_cut.png, 53379 , 2015-05-04
results\test4.jpg, 18803 , 2015-05-04
results\test4_cut.png, 43539 , 2015-05-04
results\test5.jpg, 77855 , 2015-05-04
results\test5_cut.png, 52268 , 2015-05-04
results\test6.jpg, 43293 , 2015-05-04
results\test6_cut.png, 28181 , 2015-05-04
results\test6_out.jpg, 4502 , 2018-04-13
select_back.m, 1187 , 2015-05-04
test2.jpg.html, 495 , 2015-05-04
update_gmm.m, 1203 , 2015-05-04

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  • feature_selection
    自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序(own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to choose the procedure)
    2021-04-28 10:58:44下载
    积分：1
  • gaborf
    Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image.
    2012-01-30 13:38:55下载
    积分：1
  • 第四次作业
    说明：  1.使用medfilt2函数对‘lena.bmp’进行不同模板大小的中值滤波，并观察效果 2.使用fspecial函数构造‘gaussian’, ‘sobel’, ‘prewitt’, ‘laplacian’, ‘average’等不同滤波算子，使用filter2函数对‘cameraman.tif ’进行滤波，观察不同滤波器的效果 3.设计频域理想低通和理想高通滤波器，对‘phantom.bmp’图像进行频域滤波，显示滤波结果。然后改变截止频率，观察对结果的影响。 4.对‘homo.bmp’进行同态滤波，其中频域同态滤波器自行设计。要求在程序注释中说明你设计该滤波器的思想。(1' lena.bmp 'The median filtering with different template sizes was carried out and the effect was observed2. Fsspecial function is used to construct different filter operators such as' Gaussian ',' Sobel ',' Prewitt ',' Laplacian ',' average ', etc' cameraman.tif 'Filter and observe the effect of different filters3. Design ideal low pass and ideal high pass filters in frequency domain' phantom.bmp 'The image is filtered in frequency domain and the filtering result is displayed. Then change the cut-off frequency and observe the effect on the results.4. Yes' homo.bmp 'The homomorphic filter is designed by ourselves. The idea of designing the filter should be explained in the program notes.)
    2020-12-11 21:53:25下载
    积分：1
  • CamshiftTrack
    说明：  物体运动的跟踪，比如行人和车辆等物体的跟踪(Tracking the motion of an object, such as a pedestrian or vehicle)
    2020-05-29 09:34:17下载
    积分：1
  • sauvola
    用于对图像进行分割的算法的一种，对部分类型图像处理较好 (For the image segmentation algorithm a kind type of image processing on the part of good)
    2021-02-03 14:59:58下载
    积分：1
  • find_target
    求取一幅二值图像包含目标区域的最小矩形框，返回矩形框的上下左右边界，然后根据边界坐标在图上画出目标区域。(Strike the rectangle that contains the smallest rectangular target area in a binary image, return to the top and bottom rectangular box around the border, and then draw the boundary on the map coordinates of the target area.)
    2010-11-08 11:36:21下载
    积分：1
  • Doc1
    antenna dipole of 3d antenna
    2012-04-10 23:57:55下载
    积分：1
  • Open02
    一个简单的图像浏览器，对初学C++开发图像处理系统的朋友有启迪作用。(A simple image viewer, for beginners C++ image processing system developed friends revealing. )
    2011-11-16 15:51:17下载
    积分：1
  • Digital Image Processing
    1.RAW格式转换为BMP格式 2.灰度线性拉伸 3.局部处理 4.几何处理 5.二值化 6.模板匹配 7.影像融合(1.RAW format converted to BMP format 2. grayscale linear stretch 3. local processing 4. geometric processing 5. binaryzation 6. template matching 7. image fusion)
    2018-01-17 18:55:16下载
    积分：1
  • image-matching-using-surf-and-ransac
    对两幅图像进行配准，分别提取两幅图像的surf特征点以及描述子，得到粗匹配结果，然后根据粗匹配结果，采用ransac方法计算基础矩阵，并去除误匹配点，得到较准确匹配结果(Two image registration, surf was extracted from the feature points in two images to get the coarse matching and descriptor, then according to the results, the coarse matching results, using RANSAC method to calculate the fundamental matrix, and eliminate the error matching, gain a more accurate matching results)
    2020-11-13 13:59:43下载
    积分：1
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