基于BOVW场景分类的matlab代码

【实例简介】
运行前需要安装vlfeat,程序的入口为proj3.可自己修改训练样本路径。
【实例截图】
【核心代码】
8116d2b6-b82e-4f51-82a7-864cea9230ba
└── CODE
├── build_vocabulary.m
├── create_results_webpage.m
├── get_bags_of_sifts.m
├── get_image_paths.m
├── get_tiny_images.m
├── hs_err_pid184.log
├── nearest_neighbor_classify.m
├── proj3.m
├── results_webpage
│   ├── confusion_matrix.png
│   ├── index.html
│   └── thumbnails
│   ├── Bedroom_image_0039.jpg
│   ├── Bedroom_image_0082.jpg
│   ├── Bedroom_image_0083.jpg
│   ├── Bedroom_image_0094.jpg
│   ├── Bedroom_image_0119.jpg
│   ├── Bedroom_image_0134.jpg
│   ├── Bedroom_image_0141.jpg
│   ├── Coast_image_0009.jpg
│   ├── Coast_image_0067.jpg
│   ├── Coast_image_0068.jpg
│   ├── Coast_image_0075.jpg
│   ├── Coast_image_0119.jpg
│   ├── Coast_image_0193.jpg
│   ├── Coast_image_0228.jpg
│   ├── Forest_image_0035.jpg
│   ├── Forest_image_0040.jpg
│   ├── Forest_image_0101.jpg
│   ├── Forest_image_0102.jpg
│   ├── Forest_image_0114.jpg
│   ├── Forest_image_0117.jpg
│   ├── Forest_image_0250.jpg
│   ├── Forest_image_0308.jpg
│   ├── Highway_image_0015.jpg
│   ├── Highway_image_0032.jpg
│   ├── Highway_image_0044.jpg
│   ├── Highway_image_0146.jpg
│   ├── Highway_image_0204.jpg
│   ├── Highway_image_0238.jpg
│   ├── Industrial_image_0009.jpg
│   ├── Industrial_image_0026.jpg
│   ├── Industrial_image_0068.jpg
│   ├── Industrial_image_0101.jpg
│   ├── Industrial_image_0107.jpg
│   ├── Industrial_image_0137.jpg
│   ├── Industrial_image_0151.jpg
│   ├── Industrial_image_0152.jpg
│   ├── InsideCity_image_0008.jpg
│   ├── InsideCity_image_0037.jpg
│   ├── InsideCity_image_0093.jpg
│   ├── InsideCity_image_0130.jpg
│   ├── InsideCity_image_0138.jpg
│   ├── InsideCity_image_0144.jpg
│   ├── Kitchen_image_0010.jpg
│   ├── Kitchen_image_0017.jpg
│   ├── Kitchen_image_0050.jpg
│   ├── Kitchen_image_0074.jpg
│   ├── Kitchen_image_0098.jpg
│   ├── Kitchen_image_0115.jpg
│   ├── Kitchen_image_0175.jpg
│   ├── Kitchen_image_0208.jpg
│   ├── LivingRoom_image_0015.jpg
│   ├── LivingRoom_image_0028.jpg
│   ├── LivingRoom_image_0046.jpg
│   ├── LivingRoom_image_0062.jpg
│   ├── LivingRoom_image_0068.jpg
│   ├── LivingRoom_image_0095.jpg
│   ├── LivingRoom_image_0096.jpg
│   ├── LivingRoom_image_0117.jpg
│   ├── LivingRoom_image_0132.jpg
│   ├── LivingRoom_image_0212.jpg
│   ├── Mountain_image_0005.jpg
│   ├── Mountain_image_0008.jpg
│   ├── Mountain_image_0080.jpg
│   ├── Mountain_image_0085.jpg
│   ├── Mountain_image_0115.jpg
│   ├── Mountain_image_0123.jpg
│   ├── Mountain_image_0164.jpg
│   ├── Mountain_image_0263.jpg
│   ├── Office_image_0020.jpg
│   ├── Office_image_0023.jpg
│   ├── Office_image_0037.jpg
│   ├── Office_image_0043.jpg
│   ├── Office_image_0080.jpg
│   ├── Office_image_0090.jpg
│   ├── Office_image_0140.jpg
│   ├── Office_image_0147.jpg
│   ├── Office_image_0158.jpg
│   ├── Office_image_0181.jpg
│   ├── Office_image_0212.jpg
│   ├── OpenCountry_image_0004.jpg
│   ├── OpenCountry_image_0023.jpg
│   ├── OpenCountry_image_0052.jpg
│   ├── OpenCountry_image_0065.jpg
│   ├── OpenCountry_image_0077.jpg
│   ├── OpenCountry_image_0080.jpg
│   ├── OpenCountry_image_0113.jpg
│   ├── OpenCountry_image_0217.jpg
│   ├── OpenCountry_image_0282.jpg
│   ├── Store_image_0025.jpg
│   ├── Store_image_0057.jpg
│   ├── Store_image_0105.jpg
│   ├── Store_image_0117.jpg
│   ├── Store_image_0250.jpg
│   ├── Street_image_0013.jpg
│   ├── Street_image_0039.jpg
│   ├── Street_image_0078.jpg
│   ├── Street_image_0084.jpg
│   ├── Street_image_0102.jpg
│   ├── Street_image_0118.jpg
│   ├── Street_image_0143.jpg
│   ├── Street_image_0208.jpg
│   ├── Suburb_image_0012.jpg
│   ├── Suburb_image_0044.jpg
│   ├── Suburb_image_0082.jpg
│   ├── Suburb_image_0119.jpg
│   ├── Suburb_image_0143.jpg
│   ├── Suburb_image_0149.jpg
│   ├── Suburb_image_0170.jpg
│   ├── Suburb_image_0176.jpg
│   ├── TallBuilding_image_0016.jpg
│   ├── TallBuilding_image_0017.jpg
│   ├── TallBuilding_image_0032.jpg
│   ├── TallBuilding_image_0036.jpg
│   ├── TallBuilding_image_0052.jpg
│   ├── TallBuilding_image_0055.jpg
│   ├── TallBuilding_image_0087.jpg
│   ├── TallBuilding_image_0091.jpg
│   └── TallBuilding_image_0294.jpg
└── svm_classify.m

3 directories, 129 files