登录
首页 » matlab » Image-Classification-master

Image-Classification-master

于 2021-03-30 发布 文件大小:10728KB
0 249
下载积分: 1 下载次数: 108

代码说明:

  图像分类程序,此图像分类采用 SIFT + Kmeans 聚类的方法,然后调用 MLP 对其特征进行分类处理,速度实现比较快,正确率高(Image classification procedures, the use of this image classification method SIFT+ Kmeans clustering, and then call the MLP classification of its features, faster speed to achieve the correct rate)

文件列表:

Image-Classification-master
...........................\AdditionalResources
...........................\...................\Readme_3.txt,114,2014-01-17
...........................\...................\SURFmex-v2

...........................\...................\..........\common
...........................\...................\..........\......\gpusurf
...........................\...................\..........\......\.......\assert_macros.hpp,16340,2014-01-17
...........................\...................\..........\......\.......\CudaSynchronizedMemory.hpp,13025,2014-01-17
...........................\...................\..........\......\.......\GpuSurfDetector.hpp,9822,2014-01-17
...........................\...................\..........\......\.......\gpu_globals.h,5467,2014-01-17
...........................\...................\..........\......\surfoptions.m,616,2014-01-17
...........................\...................\..........\......\surfplot.m,673,2014-01-17
...........................\...................\..........\Contents.m,317,2014-01-17
...........................\...................\..........\cppmatrix.h,3180,2014-01-17
...........................\...................\..........\examples
...........................\...................\..........\........\gpu_test.m,1853,2014-01-17
...........................\...................\..........\........\panorama




...........................\...................\..........\........\........\estimate_projective4point.m,596,2014-01-17
...........................\...................\..........\........\........\estimate_projective_nonlinear.m,986,2014-01-17
...........................\...................\..........\........\........\estimate_projective_ransac.m,3732,2014-01-17
...........................\...................\..........\........\........\panorama.m,4623,2014-01-17
...........................\...................\..........\........\........\projective_distance2.m,346,2014-01-17
...........................\...................\..........\........\short_example.m,1719,2014-01-17
...........................\...................\..........\make.m,978,2014-01-17
...........................\...................\..........\mextiming.h,1822,2014-01-17
...........................\...................\..........\mexutils.h,2741,2014-01-17
...........................\...................\..........\mexw32
...........................\...................\..........\......\cv210.dll,2079232,2014-01-17
...........................\...................\..........\......\cxcore210.dll,2200064,2014-01-17
...........................\...................\..........\......\surfmatch.m,1072,2014-01-17
...........................\...................\..........\......\surfmatch.mexw32,14848,2014-01-17
...........................\...................\..........\......\surfpoints.m,1977,2014-01-17
...........................\...................\..........\......\surfpoints.mexw32,14336,2014-01-17
...........................\...................\..........\mexw64
...........................\...................\..........\......\cudpp64.dll,30881280,2014-01-17
...........................\...................\..........\......\gpusurf.dll,246272,2014-01-17
...........................\...................\..........\......\gpusurf.lib,8608,2014-01-17
...........................\...................\..........\......\opencv_calib3d211.dll,723456,2014-01-17
...........................\...................\..........\......\opencv_contrib211.dll,617472,2014-01-17
...........................\...................\..........\......\opencv_core211.dll,3441664,2014-01-17
...........................\...................\..........\......\opencv_features2d211.dll,760320,2014-01-17
...........................\...................\..........\......\opencv_highgui211.dll,1171456,2014-01-17
...........................\...................\..........\......\opencv_imgproc211.dll,2266624,2014-01-17
...........................\...................\..........\......\opencv_legacy211.dll,804864,2014-01-17
...........................\...................\..........\......\opencv_ml211.dll,552960,2014-01-17
...........................\...................\..........\......\opencv_objdetect211.dll,498688,2014-01-17
...........................\...................\..........\......\opencv_ts211.dll,278528,2014-01-17
...........................\...................\..........\......\opencv_video211.dll,626176,2014-01-17
...........................\...................\..........\......\surfmatch.m,1072,2014-01-17
...........................\...................\..........\......\surfmatch.mexw64,20480,2014-01-17
...........................\...................\..........\......\surfpoints.m,1977,2014-01-17
...........................\...................\..........\......\surfpoints.mexw64,19968,2014-01-17
...........................\...................\..........\......\surfpoints_gpu.mexw64,19968,2014-01-17
...........................\...................\..........\OpenCV win64.txt,624,2014-01-17
...........................\...................\..........\startup.m,125,2014-01-17
...........................\...................\..........\surfmatch.cpp,5975,2014-01-17
...........................\...................\..........\surfpoints.cpp,5601,2014-01-17
...........................\...................\..........\surfpoints_gpu.cpp,5546,2014-01-17
...........................\hist_generate.m,675,2014-01-17
...........................\ImageClassification.pdf,414695,2014-01-17
...........................\Readme.txt,749,2014-01-17
...........................\SIFT_classify.m,8047,2014-01-17
...........................\SURF_classify.m,23153,2014-01-17

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • imageenhancementusingcontourlettransform
    包内提供了Contourlet和Wavelet变换进行图像增强、去噪的各种算法和.m文件,的确是好东西。(Package provides a Contourlet and Wavelet Transform for image enhancement, denoising the various algorithms and. M file, it is a good thing.)
    2021-04-01 09:19:08下载
    积分:1
  • cours_formes
    traitement d images contours et formes
    2012-02-12 04:39:25下载
    积分:1
  • fingerprintstructure
    这个算法是仿真linghong的基于指纹码的方法 内有最新的指纹奇异点检测算法(the simulation algorithm is based on fingerprint linghong the code within the latest fingerprint singular point detection Algorithm)
    2007-03-19 10:03:19下载
    积分:1
  • daopujisuan
    很好的倒频谱计算程序,可立即生成图形,方便读者理解运用。(very good。)
    2010-10-03 22:09:19下载
    积分:1
  • TIP_ASDS_IR
    基于自适应的区域选择和自适应的正则化得图像去模糊和超分辨处理,试过可以用(Based adaptive region selection and adaptive regularization was image deblurring and super-resolution processing)
    2012-10-16 15:00:18下载
    积分:1
  • sfla
    medical image thresholding using modified SFLA
    2012-09-11 00:30:31下载
    积分:1
  • Otsu2d_Xiefen
    一种二维Otsu快速算法的Matlab实现,该算法的原文参见《二维直方图区域斜分阈值分割及快速递推算法》,该文已附在内。(A two-dimensional Otsu fast algorithm Matlab realize that the original algorithm see " Two-dimensional histogram oblique segmentation area and fast recursive algorithm" , the paper has been attached into account.)
    2020-09-12 17:57:59下载
    积分:1
  • SFS
    基于物体灰度图像的物体三维形状恢复,修改图形路径和光源方向即可(Based on the three-dimensional shape of the object to restore the object grayscale image, modify the graphics path and direction of the light source can be)
    2014-02-27 21:53:53下载
    积分:1
  • Face-deformation
    C++,人脸变形,选择图片,在图片中选择一个四边形窗口(人物脸部),然后再在内部选择一个四边形窗口,逆时针选择,然后点击变形直接呈现变形结果,点击动画可以查看人脸变形过程(C++ program, select a picture, choose a quadrilateral window (human faces) in the picture, and then select a quadrilateral inside the window, counter-clockwise to select, then click on the deformation presented directly deformation results, click animated facial deformation process can be viewed)
    2014-02-16 13:46:01下载
    积分:1
  • 语义分割
    说明:  语义分割,训练样本,模型训练,成果展示,深度卷积神经网络(Semantic segmentation, training samples, model training, achievement display, deep convolution neural network)
    2020-04-04 15:02:07下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载