Description: Finishing the image feature point extraction and classification procedures (which can be as the preparatory work of the scene classification), their own debugging can run the SIFT feature point extraction algorithm, using K-means clustering algorithm, the 20 cluster centers will be writteninto the txt textcluster centers will be written to the txt text
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File list (Check if you may need any files):
SC_demo\Debug\SC_demo.exe
.......\.....\SC_demo.ilk
.......\.....\SC_demo.pdb
.......\SC_demo\ClassDiagram1.cd
.......\.......\Cluster.cpp
.......\.......\Cluster.h
.......\.......\Common.h
.......\.......\Debug\BuildLog.htm
.......\.......\.....\Cluster.obj
.......\.......\.....\imfeature.obj
.......\.......\.....\KMeans.obj
.......\.......\.....\min_pq.obj
.......\.......\.....\mt.dep
.......\.......\.....\SC_demo.exe.embed.manifest
.......\.......\.....\SC_demo.exe.embed.manifest.res
.......\.......\.....\SC_demo.exe.intermediate.manifest
.......\.......\.....\SC_demo.obj
.......\.......\.....\SC_demo.pch
.......\.......\.....\sift.obj
.......\.......\.....\stdafx.obj
.......\.......\.....\TermVector.obj
.......\.......\.....\utils.obj
.......\.......\.....\vc90.idb
.......\.......\.....\vc90.pdb
.......\.......\image_0001.jpg
.......\.......\imfeature.cpp
.......\.......\imfeature.h
.......\.......\KMeans.cpp
.......\.......\KMeans.h
.......\.......\KMeans_features.txt
.......\.......\min_pq.cpp
.......\.......\min_pq.h
.......\.......\ReadMe.txt
.......\.......\SC_demo.cpp
.......\.......\SC_demo.vcproj
.......\.......\SC_demo.vcproj.baa-PC.baa.user
.......\.......\sift.cpp
.......\.......\sift.h
.......\.......\stdafx.cpp
.......\.......\stdafx.h
.......\.......\targetver.h
.......\.......\TermVector.cpp
.......\.......\TermVector.h
.......\.......\utils.cpp
.......\.......\utils.h
.......\SC_demo.ncb
.......\SC_demo.sln
.......\SC_demo.suo
.......\.......\Debug
.......\Debug
.......\SC_demo
SC_demo
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