Description: A road split in order to improve the effectiveness of unstructured road recognition algorithm is proposed to establish a road regional domain and non-road area Gaussian mixture color model based on the probability of the pixels belonging to a color model based on color information of the road-
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Ibasedoncolorn\35738639colorseg\code\angitest.m
..............\................\....\calculatePXTheta.m
..............\................\....\calculateQ.m
..............\................\....\clusterMerge.m
..............\................\....\clusters.mat
..............\................\....\convProd.m
..............\................\....\createPyramid.m
..............\................\....\distances.m
..............\................\....\formCoreClusters.m
..............\................\....\hist\CVS\Entries
..............\................\....\....\...\Repository
..............\................\....\....\...\Root
..............\................\....\....\hist5hel.c
..............\................\....\....\histmulti5.m
..............\................\....\....\README
..............\................\....\images\angkorwat.jpg
..............\................\....\......\angkorwat2.jpg
..............\................\....\......\bagofgrain.jpg
..............\................\....\......\bagofgrain2.jpg
..............\................\....\......\beans.jpg
..............\................\....\......\berries.jpg
..............\................\....\......\buildings.jpg
..............\................\....\......\buildings2.jpg
..............\................\....\......\corn.jpg
..............\................\....\......\corn2.jpg
..............\................\....\......\CVS\Entries
..............\................\....\......\...\Repository
..............\................\....\......\...\Root
..............\................\....\......\easyim1.jpg
..............\................\....\......\easyim2.jpg
..............\................\....\......\flowers.jpg
..............\................\....\......\model.jpg
..............\................\....\......\patchofgrass.jpg
..............\................\....\......\patchofgrass2.jpg
..............\................\....\......\redflowers.jpg
..............\................\....\......\redflowers2.jpg
..............\................\....\......\starfish.jpg
..............\................\....\......\starfish2.jpg
..............\................\....\......\testim1.jpg
..............\................\....\......\testim2.jpg
..............\................\....\......\Thumbs.db
..............\................\....\......\water.jpg
..............\................\....\......\weave.jpg
..............\................\....\......\wolfie.jpg
..............\................\....\jefftest.m
..............\................\....\kclassify.m
..............\................\....\kmeansClusters.m
..............\................\....\patternDictionary.mat
..............\................\....\preprocess.m
..............\................\....\segment.m
..............\................\....\showClusters.m
..............\................\....\showPyramid.m
..............\................\....\sqdist.m
..............\................\....\statsCluster.m
..............\................\....\test1.m
..............\35738639colorseg.zip
..............\................\code\hist\CVS
..............\................\....\images\CVS
..............\................\....\hist
..............\................\....\images
..............\................\code
..............\35738639colorseg
Ibasedoncolorn
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