阴影检测代码我要分享

Shadow detection code

卡内基梅隆大 Lalonde ECCV 图像分割 特征提取 adboost 阴影检测

关注次数: 597

下载次数: 26

文件大小: 11.23MB

代码分类: 图像处理

开发平台: matlab

下载需要积分: 5积分

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代码描述

中文说明:

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。


English Description:

This is the source code for Dr. Lalonde of Carnegie Mellon University's paper published in ECCV 2010, which includes image segmentation, feature extraction, adboost classification and other processes. The color ratio, texture, skewness and other features are used, and the shadow is detected combined with the actual situation of the road. The code is characterized by high accuracy of detection results, but the running time is relatively long, which can provide a great reference for shadow detection technology.


代码预览

shadowDetection\.DS_Store

entries

text-base\applyBoundaryGrouping.m.svn-base

text-base\applyLocalBoundaryClassifier.m.svn-base

text-base\boundaryGraphCutSegmentation.m.svn-base

text-base\buildBoundaryFilter.m.svn-base

text-base\buildShadowFeaturesFilterBank.m.svn-base

text-base\buildTextureFeaturesFilterBank.m.svn-base

text-base\chisq.m.svn-base

text-base\combineGroundOcclusionAndShadowProb.m.svn-base

text-base\computeAllShadowBoundaryFilterFeatures.m.svn-base

text-base\computeBoundaryEdgePotentials.m.svn-base

text-base\computeImageFeatures.m.svn-base

text-base\computeShadowBoundaryFilterColorFeatures.m.svn-base

text-base\computeShadowBoundaryFilterFeatures.m.svn-base

text-base\computeShadowBoundaryTextonFeatures.m.svn-base

text-base\computeShadowSegmentFeatures.m.svn-base

text-base\demoShadowDetection.m.svn-base

text-base\extractImageBoundaries.m.svn-base

text-base\getBoundaryIndicesFromEdges.m.svn-base

text-base\grad2wseg.m.svn-base

text-base\interpBoundarySubPixel.m.svn-base

text-base\LICENSE.txt.svn-base

text-base\myfprintf.m.svn-base

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text-base\rgb2ill.m.svn-base

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shadowDetection\GCmex1.3\maxflow.cpp

shadowDetection\getBoundaryIndicesFromEdges.m

shadowDetection\getPathName.m

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shadowDetection\img\.svn\entries

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shadowDetection\lightspeed\flops_sqrt.m

shadowDetection\lightspeed\fromJava.m

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shadowDetection\lightspeed\glob.m

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shadowDetection\lightspeed\graphics\category_colors.m

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shadowDetection\lightspeed\graphics\Contents.m

shadowDetection\lightspeed\graphics\cut_diverging.m

shadowDetection\lightspeed\graphics\cut_quantile.m

shadowDetection\lightspeed\graphics\draw_circle.m

shadowDetection\lightspeed\graphics\draw_ellipse.m

shadowDetection\lightspeed\graphics\draw_ellipse_axes.m

shadowDetection\lightspeed\graphics\draw_line_clip.m

shadowDetection\lightspeed\graphics\hhist.m

shadowDetection\lightspeed\graphics\labeled_curves.m

shadowDetection\lightspeed\graphics\linechart.m

shadowDetection\lightspeed\graphics\min_errorbar_scale.m

shadowDetection\lightspeed\graphics\mobile_points.m

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shadowDetection\lightspeed\graphics\move_obj.m

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shadowDetection\lightspeed\graphics\RYB_colors.m

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shadowDetection\lightspeed\graphics\test_hhist.m

shadowDetection\lightspeed\graphics\YlGnBu_colors.m

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props

text-base

tmp

shadowDetection\astein\.svn

shadowDetection\bfilter2\.svn

shadowDetection\boost\.svn

shadowDetection\data\.svn

shadowDetection\display\.svn

shadowDetection\img\.svn

shadowDetection\lightspeed\@mutable

shadowDetection\lightspeed\graphics

shadowDetection\lightspeed\tests

shadowDetection\nearestneighbor\.svn

shadowDetection\parseArgs\.svn

shadowDetection\.svn

shadowDetection\astein

shadowDetection\bfilter2

shadowDetection\boost

shadowDetection\data

shadowDetection\display

shadowDetection\GCmex1.3

shadowDetection\img

shadowDetection\lightspeed

shadowDetection\nearestneighbor

shadowDetection\parseArgs

shadowDetection

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