阴影检测代码

此为卡内基梅隆大学Lalonde博士在ECCV 2010年发表论文的源代码，里面包含图像分割、特征提取、adboost分类等过程。使用了颜色比率、纹理、偏态等特征，并结合路面实况对阴影进行检测。该代码的特点是检测结果准确率高，但是运行时间比较长，可以为阴影检测技术提供较大参考。

shadowDetection
parseArgs
nearestneighbor
lightspeed
img
display
data
boost
bfilter2
astein
1
.DS_Store
.svn
entries
0008.bmp
0008.png
1.bmp
1.png
3001.bmp
3001.png
3090.bmp
3090.png
3180.bmp
3180.png
3221.bmp
3221.png
applyBoundaryGrouping.m
applyLocalBoundaryClassifier.m
boundaryGraphCutSegmentation.m
buildBoundaryFilter.m
buildShadowFeaturesFilterBank.m
buildTextureFeaturesFilterBank.m
chisq.m
combineGroundOcclusionAndShadowProb.m
computeAllShadowBoundaryFilterFeatures.m
computeBoundaryEdgePotentials.m
computeImageFeatures.m
computeShadowBoundaryFilterColorFeatures.m
computeShadowBoundaryFilterFeatures.m
computeShadowBoundaryTextonFeatures.m
computeShadowSegmentFeatures.m
create_activecontour_image2.m
demoShadowDetection.m
demoShadowDetection_evaluation.m
Detecting Ground Shadows in Outdoor.pdf
extractImageBoundaries.m
GCmex1.3
bagon_assert.h
getBoundaryIndicesFromEdges.m
getPathName.m
grad2wseg.m
interpBoundarySubPixel.m
LICENSE.txt
myfprintf.m
parseargs.m
README.txt
rgb2ill.m
rgb2lab.m
rgb2xyz.m
selectBoundaryFeatures.m
selectImageFeatures.m
setPath.m
shadows features.asv
shadowsfeatures.m
Single-Image Shadow Detection and Removal using Paired Regions.pdf
skewness.m
xyz2ill.m
.svn
GCmex1.3