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从图像分割的分类、常见方法和结果的评估3个方面,特别是近几年来图像分割领域中出现的新思路、新方法,或对原有新方法的改进对图像分割这一经典难题给出了一个比较全面的综述.
Abstract：Image segmentation is one of the classical difficult problems for researchers. In this paper, we give a rather complete survey to the image segmentation methods from their classification, commonly methods and evaluation methods, especially those new ideas, new methods and modern improvement to the classical methods appearing in the literature last few years.
[1] PalNR,PalSK.ARevienonImageSegmentationTechni- ques[J].PatternRecognition,1993,26(9):1277-1294.
[2] ZhangYJ.ASurveyonEvaluationMethodsforImageSeg- mentation[J].PatternRecognition,1996,29(8):1335-1346.
[3] 罗希平,田捷.图像分割方法综述[J].PR&AI,1999,12(9):300-312.
[4] CattlemenKennethR.DigitalImageProcessing[M].Pren- tice-HallInte,Inc,1998.
[5] MoghaddamzadehA,BourbakisN.AFuzzyRegionGrowingApproachforSegmentationofColorImages[J].PatternRecognition,1997,30(6):867-881.
[6] ZhuSC,YuilleA.RegionCompetition:UnifyingSnakes RgeionGrowing,andByes/MDLforMultilaneImageSeg- mentation[J].IEEETrans.PatternAnalysisMach,Intell,1996,18(9):884-900.
[7] SahooPK,SoltarniS,WangAK.ASurveryofThreshol- dingTechniquesComputerVisiion[J].GraphicsandImageProcessing,1998,41:233-377.32
[8] YenJC,ChangFJ,ChangS.ANewCriterionforAutom- aticMultileveThresholding[J].IEEETransonImageProc- essing,1995,4(3):370-377.
[9] PikazA,AverbuchA.DigitalImageThresholdingBasedonTopologicalStableState[J].PatternRecognition,1996,29(5):829-843.
[10] HuangLK,WangMJ.ImageThresholdingbyMinimizingtheMeasureofFuzzines[J].PatternRecognition,1995,28(1):41-51.
[11] CorneloupG,MoysanJ.BSCANImageSegmentationby ThresholdingUsingCooccurenceMatrixAnalysis[J].Pat- ternRecognition,1996,29(2):281-296.
[12] OstuN.AThresholdSelectionMethodfromGray-levelHis- togram[J].IEEETransonSystems,ManandCybernetics,1978,SMC-9(1):62-66.
[13] PunT.EntropicThresholding,ANewApproach[J].Comp- uterGraphicsImageProcessing,1981,16(3):210-239.
[14] 傅弘,颜鸿森,齐春.基于自适应定向正交投影法解的图像分割方法[J].中国图像图形学报,2003,8A(3):286-291.
[15] 柏子游,张勇,虞烈.一种彩色图像的色彩分割方法[J].模式识别与人工智能,1999,12(2):241-244.
[16] 罗述谦,唐宇.基于有偏场的适配模糊聚类分割算法[J].中国图像图形学报,2002,7A(2):111-114.
[17] 史飞.PCNN在图像处理中的研究[D].兰州大学信息科学与工程学院,2003.
[18] LyengarSS,DengW.AnEfficientEdgeDetectionAlgor- ithmUsingRelaxingLabeling[J].PatternRecongition, 1995,28(4):519-536.
[19] FaragAA,DelpEJ.EdgeLinkingbySequentialSearch [J].PatternRecognition,1995,28(5):611-633.
[20] ZugaiD,LattuatiV.ANewApproachofColorImagesSeg- mentationBasedonFusingRegionandEdgeSegmentationsOutput[J].PatternRecognition,1998,31(2):105-113.
[21] WangYP,LeeSL.Scale-spaceDerivedfromB-splines[J].IEEETransonPatternAnalysisandMachineIntelligneces,1998,20(10):1040-1055.
[22] GoshtasbyA.DesignandRecoveryof2-Dand3-DShapesUsingRationalGaussianCurvesandSurfaces[J].IntonationJournalofComputerVision,1993,10(3):233-256.
[23] MaedeJE.SegmentationofNatureImagesUsingAnisotro- piesDiffusionandLinkingofBoundaryEdges[J].PatternRecognition,1998,31(12):1993-1999.
[24] JianpingFan,DavidKY.AutomaticImageSegmentationbyIntegratingClor-EdgeExtractionandSeededRegionGrowing[J].IEEETransonImageProcessing,2001,10(10):1454-1466.
[25] HewerGA,KenneyC,ManjunathBS.VariationImageSe- gmentationUsingBoundaryFunction[J].IEEETransonImageProcessing,1998,7(9):1269-1282.
[26] 郦苏丹,张翠,王正志.基于马尔科夫随机场的SAR图像目标分割[J].中国图像图形学报,2002,7A(8):794-799.
[27] 左奇,史忠科.一种基于数学形态学的实时车牌图像分割方法[J].中国图像图形学报,2003,8A(3):281-285.
[28] 戴青云,余英林.一种基于小波与数学形态学的车牌图像分割方法[J].中国图像图形学报,2000,5A(5):411-415.
[29] 陈武凡.小波分析及其在图像处理中的应用[M].北京:科学出版社,2002.189-194.
[30] 侯格贤,毕笃彦,吴成柯.图像分割质量评价方法研究[J].中国图像图形学报,2000,5A(1):39-43.
基本信息:
DOI：10.16468/j.cnki.issn1004-0366.2004.02.006
中图分类号:TP391.41
引用信息:
[1]魏弘博,吕振肃,蒋田仔,刘新艳.图像分割技术纵览[J].甘肃科学学报,2004(02):19-24.DOI:10.16468/j.cnki.issn1004-0366.2004.02.006.
基金信息:
中国科学院模式识别国家重点实验室开放课题基金资助项目(2003)