matlab模式识别实验室,使用KNN分类器和交叉验证的图像分类工具箱

收录时间:2016-10-13
资源分类:Matlab 工具:MATLAB 7.10 (R2010a)

模式识别实验室,使用KNN分类器和交叉验证的图像分类工具箱。

PaReLab

1, Data:

 

BnuCampus images and annotations.

 

2, DbInit:

 

Reading imageset with single or multiple labels into standard interface.

 

3, FeatureLbp:

 

Local Binary Pattern & Local Phase Quantization, based on (http://www.cse.oulu.fi/MVG/Downloads/LBPSoftware).

 

4, FeatureColorDescriptors:

 

Wrapped Koen's code (http://koen.me/research/colordescriptors/).

 

5, FeatureAsift:

 

Based on Yu's code (http://www.cmap.polytechnique.fr/~yu/research/ASIFT/demo.html).

 

6, FeatureDctQuantZigzag:

 

Discrete Cosine Transform, including quantization and zigzag-scanning.

 

7, ScSPM, according to the code by Jianchao Yang @ NEC Research Lab America (Cupertino).

 

8, KNN classifier:

 

Divide the training and test images (using cross validation), extract block features from multiple resolutions of each image, find nearest K samples to map their labels to test samples.

文件下载列表
PaReLab.zip (3.17MB)  
附件内容(只显示702中的10个)
AddPath.m  CKD.m  Demo.m  DbAnnot.m  DbAnnotCrossValid.m  NormDataByMaxMinSum.m  SetupCacheDbAnnot.m  ClassifierBayes.m  CalcDist.m  CalcMultiDist.m  
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