PreProcess\clearNaNData.m
..........\generateFlagPicture.m
..........\LabWindowStat.m
..........\readWindowSamples.m
..........\sampleDistribution.m
..........\writeFlagFile.m
recognition\base\AdaBoostDecisionForImageBlock.m
...........\....\AdaBoostDecisionForSample.m
...........\....\calDetectRate.m
...........\....\CalPixelFrequencyInWindow.m
...........\....\dispCombineImage.m
...........\....\geneStdDisImage.m
...........\....\getStdDisImage.m
...........\....\LabelDetectWindow.m
...........\....\MultiThreshSegement.m
...........\....\ThreshSegement.m
...........\CankerDR\ConfuseDiseaseAreaRecognition.asv
...........\........\ConfuseDiseaseAreaRecognition.m
...........\dispWindowingResult.m
...........\gui\OrangeDiagnose.m
...........\HMax&ColorHMax\ImageBlockRecognizedByColorHMax.asv
...........\..............\ImageBlockRecognizedByColorHMax.m
...........\..............\ImageBlockRecognizedByHMax.asv
...........\..............\ImageBlockRecognizedByHMax.m
...........\..............\testColorHMaxPyramid.m
...........\..............\testColorHMaxSegmentation.m
...........\..............\testHMaxMoveWindowing.m
...........\PyramidAnalysis\PyramidAnalysis.m
...........\...............\testPyramidAnalysis.m
...........\testDSDetect.asv
...........\testDSDetect.m
...........\Windowing\MoveWindowing.m
...........\.........\testMWSegment.m
...........\......Union\areaRecognition.m
...........\...........\TestWindowUnion.m
...........\...........\windowRecognition.asv
...........\...........\windowRecognition.m
...........\...........Ex\areaRecognitionEx.m
...........\.............\ImageBlockRecognize\ImageBlockRecogByAdaBoost.m
...........\.............\...................\ImageBlockRecogByCascadeAdaBoost.m
...........\.............\TestWindowUnionEx.asv
...........\.............\TestWindowUnionEx.m
...........\.............\windowRecognitionEx.m
RectFeature\areaRecognitionExEX.m
...........\blockColorDistribute.asv
...........\blockColorDistribute.m
...........\CankerFeatureCluster.asv
...........\CankerFeatureCluster.m
...........\extractDirRectFeature.m
...........\extractImageRectFeature.m
...........\isSampleSimilarToCankerModel.asv
...........\isSampleSimilarToCankerModel.m
...........\testCankerModel.m
resultDisp\AdaBoostTrainResultShow.m
..........\dispMultiImage.m
..........\disSample.m
test\detectNegativeSamples.m
....\extractWindowSamplesFeature.m
....\test.m
....\testANN.m
....\TestBG.asv
....\TestBG.m
....\testDistctDisease.m
....\testExtractWindowSamplesFeature.m
....\testGabor.m
....\testpi.m
....\testTrainSamples.asv
....\testTrainSamples.m
.ools\dataHist.m
.....\detectDuplicated.m
.....\extractDirsFeatures.m
.....\extractDirsWinsowFeatures.m
.....\geneNegativeSamples.m
.....\generateFalsePositiveSamples.m
.....\generateTrainTestSamples.m
.....\getAreaCankerSamples.m
.....\HypothesisHibernate.m
.....\imageScale.m
.....\imageZoom.m
.....\labelImage.m
.....\randnSelectSubSequence.m
.....\RenameFiles.m
.....\RTrainSamples.m
.....\trainAreaSamples.m
.....\trainWindowSamples.m
AdaBoost\AdaBoost.asv
........\AdaBoost.m
........\AdaBoostClassfy.m
........\AdaBoostWeakLearnerClassfy.m
........\analysis\analysisHypothesisFeature.asv
........\........\analysisHypothesisFeature.m
........\........\featureNameMap.m
........\calPredictErrorRate.m
........\limited\limitedTrainAdaBoostLearner.asv
........\.......\limitedTrainAdaBoostLearner.m
........\.......\testLimitedTrainAdaBoostLearner.asv
........\.......\testLimitedTrainAdaBoostLearner.m
........\other-adaboost\L_AdaBoost.m
........\..............\L_Detection.m
........\..............\L_FaceDetection.m