利用matlab实现彩色图像的分割。算法主要是利用聚类算法\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
....................................................\....\......\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
....................................