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image_processing3

于 2021-04-20 发布 文件大小:16996KB
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代码说明：

  图像工程作业3：基于视词袋模型的场景识别 (Scene recognition with bag of words)(Image Engineering Job 3: Scene Recognition Based visual bag of words (Scene recognition with bag of words))

文件列表：

图像工程第三次作业
..................\code
..................\....\build_vocabulary.m,3020,2016-01-21
..................\....\create_results_webpage.m,12308,2016-01-21
..................\....\get_bags_of_sifts.m,3578,2016-01-20
..................\....\get_image_paths.m,1771,2016-01-20
..................\....\get_tiny_images.m,1520,2016-01-21
..................\....\nearest_neighbor_classify.m,2319,2016-01-21
..................\....\proj3.m,8951,2016-01-21
..................\....\svm_classify.m,3185,2016-01-20
..................\....\vlfeat
..................\....\......\.gitattributes,59,2014-09-12
..................\....\......\.gitignore,700,2014-09-12
..................\....\......\apps
..................\....\......\....\phow_caltech101.m,11594,2014-09-12
..................\....\......\....\recognition
..................\....\......\....\...........\encodeImage.m,5278,2014-09-12
..................\....\......\....\...........\experiments.m,6905,2014-09-12
..................\....\......\....\...........\extendDescriptorsWithGeometry.m,822,2014-09-12
..................\....\......\....\...........\getDenseSIFT.m,1679,2014-09-12
..................\....\......\....\...........\readImage.m,919,2014-09-12
..................\....\......\....\...........\setupCaltech256.m,2495,2014-09-12
..................\....\......\....\...........\setupFMD.m,1197,2014-09-12
..................\....\......\....\...........\setupGeneric.m,4024,2014-09-12
..................\....\......\....\...........\setupScene67.m,2368,2014-09-12
..................\....\......\....\...........\setupVoc.m,5189,2014-09-12
..................\....\......\....\...........\trainEncoder.m,6226,2014-09-12
..................\....\......\....\...........\traintest.m,6097,2014-09-12
..................\....\......\....\sift_mosaic.m,4621,2014-09-12
..................\....\......\bin
..................\....\......\...\glnx86
..................\....\......\...\......\aib,8396,2014-09-12
..................\....\......\...\......\libvl.so,293498,2014-09-12
..................\....\......\...\......\mser,21717,2014-09-12
..................\....\......\...\......\sift,26345,2014-09-12
..................\....\......\...\......\test_gauss_elimination,8327,2014-09-12
..................\....\......\...\......\test_getopt_long,8597,2014-09-12
..................\....\......\...\......\test_gmm,13455,2014-09-12
..................\....\......\...\......\test_heap-def,12462,2014-09-12
..................\....\......\...\......\test_host,8345,2014-09-12
..................\....\......\...\......\test_imopv,8611,2014-09-12
..................\....\......\...\......\test_kmeans,8500,2014-09-12
..................\....\......\...\......\test_liop,8389,2014-09-12
..................\....\......\...\......\test_mathop,12490,2014-09-12
..................\....\......\...\......\test_mathop_abs,8450,2014-09-12
..................\....\......\...\......\test_nan,8374,2014-09-12
..................\....\......\...\......\test_qsort-def,12413,2014-09-12
..................\....\......\...\......\test_rand,8386,2014-09-12
..................\....\......\...\......\test_sqrti,8305,2014-09-12
..................\....\......\...\......\test_stringop,12718,2014-09-12
..................\....\......\...\......\test_svd2,8459,2014-09-12
..................\....\......\...\......\test_threads,8669,2014-09-12
..................\....\......\...\......\test_vec_comp,8635,2014-09-12
..................\....\......\...\glnxa64
..................\....\......\...\.......\aib,14080,2014-09-12
..................\....\......\...\.......\libvl.so,370313,2014-09-12
..................\....\......\...\.......\mser,23649,2014-09-12
..................\....\......\...\.......\sift,32519,2014-09-12
..................\....\......\...\.......\test_gauss_elimination,9883,2014-09-12
..................\....\......\...\.......\test_getopt_long,10299,2014-09-12
..................\....\......\...\.......\test_gmm,15335,2014-09-12
..................\....\......\...\.......\test_heap-def,14050,2014-09-12
..................\....\......\...\.......\test_host,9925,2014-09-12
..................\....\......\...\.......\test_imopv,14383,2014-09-12
..................\....\......\...\.......\test_kmeans,10128,2014-09-12
..................\....\......\...\.......\test_liop,9977,2014-09-12
..................\....\......\...\.......\test_mathop,14141,2014-09-12
..................\....\......\...\.......\test_mathop_abs,10078,2014-09-12
..................\....\......\...\.......\test_nan,9962,2014-09-12
..................\....\......\...\.......\test_qsort-def,13977,2014-09-12
..................\....\......\...\.......\test_rand,9966,2014-09-12
..................\....\......\...\.......\test_sqrti,9865,2014-09-12
..................\....\......\...\.......\test_stringop,14376,2014-09-12
..................\....\......\...\.......\test_svd2,14175,2014-09-12
..................\....\......\...\.......\test_threads,14441,2014-09-12
..................\....\......\...\.......\test_vec_comp,14391,2014-09-12
..................\....\......\...\maci
..................\....\......\...\....\aib,9384,2014-09-12
..................\....\......\...\....\libvl.dylib,279560,2014-09-12
..................\....\......\...\....\mser,22636,2014-09-12
..................\....\......\...\....\sift,31248,2014-09-12
..................\....\......\...\....\test_gauss_elimination,9264,2014-09-12
..................\....\......\...\....\test_getopt_long,9388,2014-09-12
..................\....\......\...\....\test_gmm,14416,2014-09-12
..................\....\......\...\....\test_heap-def,21836,2014-09-12
..................\....\......\...\....\test_host,9300,2014-09-12
..................\....\......\...\....\test_imopv,9572,2014-09-12
..................\....\......\...\....\test_kmeans,9452,2014-09-12
..................\....\......\...\....\test_liop,9364,2014-09-12
..................\....\......\...\....\test_mathop,13396,2014-09-12
..................\....\......\...\....\test_mathop_abs,9400,2014-09-12
..................\....\......\...\....\test_nan,9316,2014-09-12
..................\....\......\...\....\test_qsort-def,9276,2014-09-12
..................\....\......\...\....\test_rand,9372,2014-09-12
..................\....\......\...\....\test_sqrti,9232,2014-09-12
..................\....\......\...\....\test_stringop,13612,2014-09-12
..................\....\......\...\....\test_svd2,9416,2014-09-12
..................\....\......\...\....\test_threads,9564,2014-09-12
..................\....\......\...\....\test_vec_comp,9588,2014-09-12
..................\....\......\...\maci64

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  • zengqiang
    图像增强里的小程序，有中值滤波，平滑处理还有频域增强(Image Enhancement in the small procedures, median filtering, smoothing also enhanced the frequency domain)
    2010-06-15 20:54:02下载
    积分：1
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    用于图像的纹理分割，适合用于图像的纹理分割和图像特征分类，并且是基于MATLAB实现的纹理特征分割。(For image texture segmentation, texture suitable for image segmentation and image feature classification, and is based on the MATLAB implementation of the texture features segmentation.)
    2011-09-13 16:14:54下载
    积分：1
  • MatLab
    图片的旋转、截图、灰度、翻转、滤波、去噪等基本处理(Image rotation, screenshots, gray, flip, filtering, noise and other basic processing)
    2013-10-22 17:06:27下载
    积分：1
  • cuvsor
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    2017-05-03 17:38:54下载
    积分：1
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    Tamura纹理特征提取程序，matlab编写，通过运行测试无误。另附有pdf介绍Tamura纹理特征定义，希望对大家有帮助。(Tamura texture feature extraction procedures, matlab prepared correctly by running the test. Tamura has attached pdf introduce the definition of texture features, in the hope that everyone has to help.)
    2008-08-02 20:20:06下载
    积分：1
  • WF_1D_CDP
    。基于Wirtinger流的相位恢复算法是由Emmanuel J. Candes等于2015年提出的新的相位恢复算法，该方法不再将光场函数局限于非凸集中，而是利用一种新的初始化方式以及迭代规则来寻找最优解。(a new approach about phase retri which is published in 2015)
    2017-05-07 10:22:24下载
    积分：1
  • public_code_ST
    结构张量来进行自适应正则化图像重建，单幅图像重建(Structure tensor adaptive regularized image reconstruction, a single image reconstruction)
    2016-11-29 12:09:57下载
    积分：1
  • efficient_subpixel_registration
    说明：  此算法可以实现任意两个图像的配准（整体平移） (This algorithm can achieve any two image registration (the overall translation))
    2009-07-31 12:42:01下载
    积分：1
  • DSP-digital-Recognition
    天津工业大学课程设计，内容包含vs2010对图像的灰度化，二值化，边缘检测。包含单纯c语言编写的对图像的灰度化，二值化，边缘检测的一个.C文件，可以直接用vc6.0运行，也可以直接在DSP上运行，还包含一份详细的设计报告。(Tianjin Polytechnic University curriculum design, content includes vs2010 grayscale image binarization, edge detection. Contains pure c language for image graying, binarization, edge detection is one. C file that can be run with vc6.0 can also be run directly on a DSP, also contains a detailed design report.)
    2013-12-10 10:51:11下载
    积分：1
  • SLM
    用SLM法降低PAPR的CCDF,调用SLM函数来实现，毕业设计很有用的源代码(SLM method used to reduce PAPR of the CCDF, call the SLM function to achieve graduation design of the source code is useful)
    2009-06-15 18:32:02下载
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