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SP_Liu_TCSVT_code2014

于 2020-06-16 发布 文件大小:28731KB
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代码说明：

  用于显著性检测的对比算法SP的MATLAB版本，比较新的是2013年的，亲测可用(MatLAB version of SP, a contrast algorithm for saliency detection, is relatively new in 2013, and pro-test is available.)

文件列表：

SP_Liu_TCSVT_code\buildConectMatrix.p, 490 , 2015-03-02
SP_Liu_TCSVT_code\data\inputVideos\AN119T\2_SP.jpg, 7251 , 2015-03-30
SP_Liu_TCSVT_code\data\inputVideos\AN119T\3_SP.jpg, 7197 , 2015-03-30
SP_Liu_TCSVT_code\data\inputVideos\AN119T\4_SP.jpg, 7136 , 2015-03-30
SP_Liu_TCSVT_code\data\inputVideos\AN119T\5_SP.jpg, 6797 , 2015-03-30
SP_Liu_TCSVT_code\data\inputVideos\AN119T\6_SP.jpg, 6841 , 2015-03-30
SP_Liu_TCSVT_code\data\inputVideos\AN119T\7_SP.jpg, 6565 , 2015-03-30
SP_Liu_TCSVT_code\data\inputVideos\AN119T.avi, 30423444 , 2009-09-11
SP_Liu_TCSVT_code\ExternalCode\broxPAMI2011\demoLDOF.m, 105 , 2013-10-22
SP_Liu_TCSVT_code\ExternalCode\broxPAMI2011\mex_LDOF.m, 761 , 2013-10-22
SP_Liu_TCSVT_code\ExternalCode\broxPAMI2011\mex_LDOF.mexa64, 97825 , 2013-10-22
SP_Liu_TCSVT_code\ExternalCode\broxPAMI2011\mex_LDOF.mexw32, 53760 , 2013-10-22
SP_Liu_TCSVT_code\ExternalCode\broxPAMI2011\mex_LDOF.mexw64, 75264 , 2013-10-22
SP_Liu_TCSVT_code\ExternalCode\broxPAMI2011\pami2010Matlab.zip, 786067 , 2013-11-05
SP_Liu_TCSVT_code\ExternalCode\broxPAMI2011\readme.txt, 1023 , 2013-10-22
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\.gitattributes, 59 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\.gitignore, 700 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\apps\phow_caltech101.m, 11594 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\apps\recognition\encodeImage.m, 5278 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\apps\recognition\experiments.m, 6905 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\apps\recognition\extendDescriptorsWithGeometry.m, 822 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\apps\recognition\getDenseSIFT.m, 1679 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\apps\recognition\readImage.m, 919 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\apps\recognition\setupCaltech256.m, 2495 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\apps\recognition\setupFMD.m, 1197 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\apps\recognition\setupGeneric.m, 4024 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\apps\recognition\setupScene67.m, 2368 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\apps\recognition\setupVoc.m, 5189 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\apps\recognition\trainEncoder.m, 6226 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\apps\recognition\traintest.m, 6097 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\apps\sift_mosaic.m, 4621 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\aib, 8396 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\libvl.so, 293498 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\mser, 21717 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\sift, 26345 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_gauss_elimination, 8327 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_getopt_long, 8597 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_gmm, 13455 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_heap-def, 12462 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_host, 8345 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_imopv, 8611 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_kmeans, 8500 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_liop, 8389 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_mathop, 12490 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_mathop_abs, 8450 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_nan, 8374 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_qsort-def, 12413 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_rand, 8386 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_sqrti, 8305 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_stringop, 12718 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_svd2, 8459 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_threads, 8669 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnx86\test_vec_comp, 8635 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\aib, 14080 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\libvl.so, 370313 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\mser, 23649 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\sift, 32519 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_gauss_elimination, 9883 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_getopt_long, 10299 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_gmm, 15335 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_heap-def, 14050 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_host, 9925 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_imopv, 14383 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_kmeans, 10128 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_liop, 9977 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_mathop, 14141 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_mathop_abs, 10078 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_nan, 9962 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_qsort-def, 13977 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_rand, 9966 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_sqrti, 9865 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_stringop, 14376 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_svd2, 14175 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_threads, 14441 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\glnxa64\test_vec_comp, 14391 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\aib, 9384 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\libvl.dylib, 279560 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\mser, 22636 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\sift, 31248 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_gauss_elimination, 9264 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_getopt_long, 9388 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_gmm, 14416 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_heap-def, 21836 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_host, 9300 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_imopv, 9572 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_kmeans, 9452 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_liop, 9364 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_mathop, 13396 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_mathop_abs, 9400 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_nan, 9316 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_qsort-def, 9276 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_rand, 9372 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_sqrti, 9232 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_stringop, 13612 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_svd2, 9416 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_threads, 9564 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci\test_vec_comp, 9588 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci64\aib, 8956 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci64\libvl.dylib, 303760 , 2014-09-12
SP_Liu_TCSVT_code\ExternalCode\vlfeat-0.9.19\bin\maci64\mser, 22320 , 2014-09-12

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  • guiyihua
    这个是把图像归一化的程序，原始的图片可以随意设置，效果比较好。(This is the image of the normalized program, the original pictures can freely set, the effect is good. )
    2012-04-27 16:52:29下载
    积分：1
  • 简单图像处理codesforimageprocessing
    实现简单图像处理，包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化（边缘检测）、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。(simple image processing, including color to grayscale 256, the Hough transform, Walsh transform, Median filtering, binary conversion, brightness changes, Fourier transform, and color-from the few to admit index, image shifting, image rotation, refined images, image scaling, image mirroring, mean filtering, contrast stretching, Laplacian sharpening (edge detection), block codes, Sharpening gradient, gray balance, histogram equalization, discrete cosine transform, Wiener filter, reverse filtering, threshold transform, Gaussian smoothing.)
    2020-07-09 11:18:55下载
    积分：1
  • 基于W-SVD的小波数字水印算法
    说明：  基于W-SVD的小波数字水印算法，包括水印生成、水印嵌入和水印检测，理解SVD奇异值分解算法。(Wavelet digital watermarking algorithm based on W-SVD includes watermarking generation, watermarking embedding and watermarking detection, and understanding SVD singular value decomposition algorithm.)
    2020-06-28 11:00:02下载
    积分：1
  • guidedfilter
    引导滤波器，在引导图像的引导下对输入图像进行滤波，这种新型滤波器对边缘的保持很好，而且运行计算量和核的大小无关(Guide filters, under the guidance of the guide image filtering the input image, the edge of this new type of filter to keep well and run the calculation regardless of the size and nuclear)
    2011-10-21 15:21:43下载
    积分：1
  • picture--chasing
    背景建模和前景分割的方式把运动车辆提取出来。并进行最近临关联，输出目标轨迹。 MeanShift运动目标跟踪 matlab程序 1.截取跟踪目标矩阵rect 2.求取跟踪目标的加权直方图hist1 3.读取视频序列中的一帧， 先随机取一块与rect等大的矩形，计算加权直方图hist2。 4.计算两者比重函数，如果后者差距过大， 更新新的矩阵中心Y，进行迭代（MeanShift是一种变步长可以迅速接近概率密度峰值的方法），直至一定条件后停止。 这两种算法为处理图像跟踪的基本方法 (Background modeling and foreground segmentation the extracted moving vehicles. Pro associated output and the target locus. Target tracking matlab program MeanShift movement. Interception tracking the target matrix rect strike a tracking target weighted histogram hist1 3. Reads a video sequence, randomly take a with the rect large rectangular, calculate the weighted histogram hist2. 4. Calculate both the proportion of function, if the latter gap is too large to update the new center of the matrix Y conducted the iteration (MeanShift is a variable step size can be rapidly approaching the peak of the probability density) until certain conditions to stop. The basic method of these two algorithms for processing the image tracking)
    2012-11-12 16:44:21下载
    积分：1
  • matlab程序
    说明：  MATLAB计算石墨烯能带，判断最近邻，对角化哈密顿量(Calculation of graphene energy band by MATLAB)
    2020-12-10 09:39:19下载
    积分：1
  • ERNSYMNTY
    基于VisualC_和DCMTK的医学DICOM图像显示与调窗,同时在MFC 下完成鼠标拖动进行窗宽/窗位的调节(Medical image of DICOM VisualC_ and DCMTK display and window based on, at the same time in MFC complete the mouse to drag the window width/window regulator )
    2013-08-26 22:03:24下载
    积分：1
  • zxscsPrimsuanfa
    关于图像分割的一个代码，最小生成树Prim算法，能够实现相应功能，拿出来与大家共享(Image Segmentation on a code, Prim minimum spanning tree algorithm, can achieve the corresponding functions, and show to share with you)
    2008-04-25 19:26:52下载
    积分：1
  • Matlab_based_DIC_code___Version_1___130814_EJ
    Digital Image Correlation (DIC) is an optical, non-contact method to measure full-field displacements and strains. The only requirement is that the test specimen has a random speckle pattern on its surface, either generated by the experimentalist (i.e. random paint pattern) or occurring naturally (i.e. surface texture at large magnifications). There is no inherent length scale to DIC - by choosing the appropriate magnification of images and the corresponding speckle size, DIC can be used to measure displacements from the meter scale to the micron scale.
    2013-08-18 15:51:35下载
    积分：1
  • autodetection
    基于DQ效应的JPEG图像真伪检测算法，通过检测图像DCT直方图的DQ效应计算图像的概率图，该算法快速、准确，能自动定位篡改区域(JPEG image detection algorithm based on the authenticity of DQ effect, calculated image by DQ effect detection probability map image DCT histogram, the algorithm is fast, accurate, and can automatically locate tampered area)
    2021-03-16 09:59:22下载
    积分：1
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