文件名称:javacarimgana
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Java] [源码]
- 上传时间：
- 2015-09-17
- 文件大小：
- 1013kb
- 下载次数：
- 0次
- 提 供 者：
- l**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
车辆相关图形识别算法,灰度计算，车牌区域提取，车牌识别-car image analysis
(系统自动生成,下载前可以参看下载内容)
下载文件列表
javacarimgana\.classpath
.............\.project
.............\.settings\org.eclipse.jdt.core.prefs
.............\bin\javaanpr\configurator\Configurator.class
.............\...\........\gui\ReportGenerator.class
.............\...\........\...\TimeMeter.class
.............\...\........\...\tools\FileListModel$FileListModelEntry.class
.............\...\........\...\.....\FileListModel.class
.............\...\........\...\.....\ImageFileFilter.class
.............\...\........\...\windows\FrameComponentInit.class
.............\...\........\...\.......\FrameComponentInit.form
.............\...\........\...\.......\FrameHelp$1.class
.............\...\........\...\.......\FrameHelp.class
.............\...\........\...\.......\FrameHelp.form
.............\...\........\...\.......\FrameMain$1.class
.............\...\........\...\.......\FrameMain$2.class
.............\...\........\...\.......\FrameMain$3.class
.............\...\........\...\.......\FrameMain$4.class
.............\...\........\...\.......\FrameMain$5.class
.............\...\........\...\.......\FrameMain$6.class
.............\...\........\...\.......\FrameMain$7.class
.............\...\........\...\.......\FrameMain$8.class
.............\...\........\...\.......\FrameMain$LoadImageThread.class
.............\...\........\...\.......\FrameMain$RecognizeThread.class
.............\...\........\...\.......\FrameMain.class
.............\...\........\...\.......\FrameMain.form
.............\...\........\imageanalysis\Band.class
.............\...\........\.............\BandGraph$PeakComparer.class
.............\...\........\.............\BandGraph.class
.............\...\........\.............\CarSnapshot.class
.............\...\........\.............\CarSnapshotGraph$PeakComparer.class
.............\...\........\.............\CarSnapshotGraph.class
.............\...\........\.............\Char.class
.............\...\........\.............\Graph$Peak.class
.............\...\........\.............\Graph$ProbabilityDistributor.class
.............\...\........\.............\Graph.class
.............\...\........\.............\HoughTransformation.class
.............\...\........\.............\Photo.class
.............\...\........\.............\PixelMap$Piece.class
.............\...\........\.............\PixelMap$PieceSet.class
.............\...\........\.............\PixelMap$Point.class
.............\...\........\.............\PixelMap$PointSet.class
.............\...\........\.............\PixelMap.class
.............\...\........\.............\Plate.class
.............\...\........\.............\PlateGraph$SpaceComparer.class
.............\...\........\.............\PlateGraph.class
.............\...\........\.............\PlateHorizontalGraph.class
.............\...\........\.............\PlateVerticalGraph$PeakComparer.class
.............\...\........\.............\PlateVerticalGraph.class
.............\...\........\.............\PositionInPlate.class
.............\...\........\.............\Statistics.class
.............\...\........\.ntelligence\Intelligence.class
.............\...\........\............\Parser$FinalPlate.class
.............\...\........\............\Parser$PlateForm$Position.class
.............\...\........\............\Parser$PlateForm.class
.............\...\........\............\Parser.class
.............\...\........\............\RecognizedPlate.class
.............\...\........\Main.class
.............\...\........\neuralnetwork\NeuralNetwork$Gradients.class
.............\...\........\.............\NeuralNetwork$NeuralInput.class
.............\...\........\.............\NeuralNetwork$NeuralLayer.class
.............\...\........\.............\NeuralNetwork$Neuron.class
.............\...\........\.............\NeuralNetwork$SetOfIOPairs$IOPair.class
.............\...\........\.............\NeuralNetwork$SetOfIOPairs.class
.............\...\........\.............\NeuralNetwork.class
.............\...\........\recognizer\CharacterRecognizer$RecognizedChar$PatternComparer.class
.............\...\........\..........\CharacterRecognizer$RecognizedCh