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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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  • houghtrans
    hough变换是图像处理中一种方法，该文件是用matlab语言实现的hough变换，但未使用matlab提供的函数，可以用于hough变换的学习和掌握。(hough ??换 是??像 )
    2008-08-18 17:09:35下载
    积分：1
  • SSDA
    利用SSDA算法实现模板匹配的功能，该算法可快速有效地完成图像的匹配。(SSDA algorithm on template matching function, the algorithm can quickly and efficiently complete image matching.)
    2012-09-19 11:30:57下载
    积分：1
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    ncut分割算法matlab代码，实现图像分割的较好的方法(ncut segmentation algorithm Matlab code to achieve a better image segmentation methods)
    2020-10-29 20:19:56下载
    积分：1
  • bemd
    说明：  二维经验模态分解，分解图像等二维信号，可用于算法验证与学习(EMD This program calculates the Bidimensional EMD of a 2-d signal using the process of sifting. It is dependent on the function SIFT.)
    2011-02-26 20:03:08下载
    积分：1
  • load_FRGC_abs_Z
    三维人脸数据库FRGC V1. 0,2.0包括图像的深度数据和纹理，格式分别保存为：abs和ppm 读取abs数据中的深度z轴数据，保存为480*640的矩阵，进而进行数据处理研究。并且贴ppm纹理，便于观察。 (Three-dimensional face database FRGC V1. 0,2.0 depth data including images and textures, formats were saved as: abs abs data and ppm reads depth z-axis data, save it as a 480* 640 matrix, and then studied for data processing . And paste ppm texture, easy to observe.)
    2021-04-12 13:48:57下载
    积分：1
  • matlab命令流
    说明：  信号处理傅里叶变换，三分之一倍频程，荷载时程曲线绘制(Signal processing Fourier transform, one third octave, load time history curve drawing)
    2019-11-20 20:29:10下载
    积分：1
  • msr
    实现retinex中的msr，关于雾天图像处理。(Msr in achieving retinex，Image processing on the fog)
    2011-05-20 11:59:44下载
    积分：1
  • HDRImaging
    HDR图像生成的算法，很实用和有效。利用多帧不同曝光时间的图像合成HDR的图像。(Algorithm of HDR image generation)
    2017-10-15 19:02:48下载
    积分：1
  • feijiejeijiance
    肺结节检测 ，包括肺部粗提取，肺结节提取，特征提取，与特征分析，以及最后的分类！( U80BA u7D3 u53D0 u53D0 u53D0 u53D0 u53D6 uvd0 U4E0E u7279 u5F1 u5206 u6790 uFF0C u4EE5 u53CA u6700 u540E u7684 u5206 u7C7B uFF01)
    2021-05-13 03:30:03下载
    积分：1
  • Application_study_of_wavelet_analysis_on_ultrasoni
    说明：  ：在深海采矿环境中超声波传输介质里存在着大量气泡、扰动沉积物、机械噪声等背景噪声与混响，导致有用信号与高 噪声信号迭加在一起，严重影响了测距精度。采用小波分析方法将超声回波信号进行3层小波分解，适当设置门限阈值对小波 系数进行处理，然后对信号进行重构，有效地抑制了信号中噪声对测量精度的影响。研究结果表明：小波方法有很好的降低回 波信号中噪声的效果，其测距精度高于自适应滤波去噪后的测距精度。(There are much background and mixture noise in the course of ultrasonic wave transmission under deep sea mining environment，such as air bubbles and disturbed sediment and mechanical noise．Because of these factors， the useful signals and the high noise signals are combined together，which seriously affects the distance measurement precision．Ultrasonic echo signals are decomposed into three layer wavelets，and a threshold is set to process the wavelet coeficients．Then the signals are reconstructed．Accordingly the influence of environment noise on distance measurement precision is effectively restrained．Research resuhs indicate that wavelet transform method is very useful for noise reduction in signals．Its precision is higher than that of the adaptive filtering method．)
    2010-04-24 08:14:49下载
    积分：1
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