期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

克服Watershed算法过度分割的方法 被引量：2

Method of Overcoming the Oversegmentation by Wavelet Transform
下载PDF
导出
摘要 Water-shed算法是一种形态学的图像分割算法,但由于其对噪声十分敏感,分割结果往往存在过度分割的现象。该文提出一种基于小波分析的Watershed算法,充分利用小波的多分辨率特性有效地解决了Watershed算法的过度分割问题,并大大提高了分割计算速度。 Watershed algorithm is a kind of image segmentation algorithm based on mathematical morphology. The high sensitivity of the watershed algorithm to noise yields a very large number of catchment basins, lead to oversegmentation. A watershed algorithm based on wavelet analysis is proposed to overcome the oversegmentation. It uses the multiresolution of wavelet transform to overcome the oversegmentation and improve the compute speed.
作者 王鹏 单保慈 谢千河 曾振柄
机构地区 中国科学院成都计算机应用研究所 中国科学院北京高能物理研究所 中国电子科技大学
出处 《计算机工程》 CAS CSCD 北大核心 2004年第15期36-37,共2页 Computer Engineering
基金 国家重大基础研究规划项项目(G1999054000)
关键词 小波变换 分水岭算法 过度分割 多分辨率 Wavelet transform Watershed algorithm Oversegmentation Multiresolution
分类号 TP312 [自动化与计算机技术—计算机软件与理论]
  • 相关文献

参考文献6

  • 1Vincent L, Soille P. Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991, 13(6): 583-589
  • 2Sijbers J, Verhoye, M, Scheunders P, et al. Watershed-based Segmentation of 3D MR Data for Volume Quantization. Magnetic Resonance Imaging, 1997, 15(6): 679-688
  • 3Beucher S. Watershed, Hierarchical Segmentation and Waterfall Algorithm. In: Serra J, Soille P, Eds., Mathematical Morphology and Its Applications to Image Processing, Dordrecht, USA: Kluwer Acad.Publ.,1994:69-76
  • 4Haris K. Hybrid Image Segmentation Using Watersheds and Fast Region Merging. IEEE Transactions on Image Processing, 1998, 7(12):1684
  • 5Vincent L, Siolle P. Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations. IEEE Trans. Patt. Anal.Mach. Intell., 1991, 13(6): 583-598
  • 6周海芳,蒋艳凰,杨学军.流域变换建模及其算法研究的新进展[J].中国图象图形学报,2003,9(1):11-17. 被引量：9

二级参考文献12

  • 1BEUCHER S,LANTUEJOUL C.Use of watersheds in contourdetection. Proc International Workshop on ImageProcessing . 1979
  • 2Vincent L.Graphs and mathematical morphology. Signal Processing . 1989
  • 3Meyer F.Topographic distance and watershed lines. Signal Processing . 1994
  • 4Dobrin B P,Viero T,Gabbouj M.Fast watershed algorithms:Analysis and extensions .Analysis and extensions. Pro-ceedings of IS & T/SPIE Symposium on Electronic ImagingScience&Technology,Nonlinear Image Processing V . 1994
  • 5Meijster A,Roerdink J B.A proposal for the implementation of a parallel watershed algorithm. In: Hlavac A, Sara R, Eds,Computer Analysis of Images and Patterns ( Lecture Notesion Computer Science ) [ M], Berlin: Springer-Verlag . 1995
  • 6Beucher S,Meyer F.The morphological approach to segmentation: the watershed transformation. In: Dougherty E R, Ed, Mathematical Morphology in Image Processing [ M],New York: Marcel Dekker . 1993
  • 7Meijster A,Roerdink J B.Computation of watersheds based on parallel graph algorithms. In: Maragos P, Ed,Mathematical Morphology and its Applications to Image and Signal Processing [ M], Dordrecht USA: Kluwer Acad. Publ . 1996
  • 8Beucher S.Watershed, hierarchical segmentation and waterfall algorithm. In: Serra J, Soille P, Eds, Mathematical Morphology and its Applications to Image Processing [ M ] . 1994
  • 9Vincent L,Soille P.Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE Transactions on Pattern Analysis and Machine Intelligence . 1991
  • 10Roerdink J B,Meijster A.The watershed transform:definitions, algorithm and parallelization strategies. Fundamenta Informaticae . 2000

共引文献9

同被引文献16

  • 1孙涵,任明武.基于链码的分水岭变换算法[J].中国图象图形学报（A辑）,2004,9(9):1025-1031. 被引量：12
  • 2汤旭慧.基于共有边界长度的改进分水岭算法[J].计算机工程与应用,2005,41(1):84-86. 被引量：5
  • 3杨文明,陈国斌,沈晔湖,刘济林.一种基于分水岭变换的图像分割方案[J].浙江大学学报（工学版）,2006,40(9):1503-1506. 被引量：22
  • 4[1]Gonzalez C R, Woods R E. Digital Image Processing[M]. Second edition. Beijing: Publishing House of Electronics Industry. 2002. 618～626
  • 5[2]Sonka M, Hlavac V, Boyle R. Image Processing,Analysis and Machine Vision[M]. Section edition.Publishing House of Thomson Learning. 1999. 186～188
  • 6[3]Roerdink J B T M, Meijster A. The Watershed Transform:Definitions. Algorithms and Parallelization Strategies [ J ]. Fundamental Informaticae.2001, 41:187～228
  • 7[4]Vincent L, Solille P, Watershed in digital spaces:An efficient algorithm based immersion simulations [J]. IEEE TransPAMI, 1991,13(6):538～598
  • 8[5]Bieniek A, Moga A. An efficient watershed algorithm based on connected components[J]. Pattern Recognition. 2000,33: 907 ～ 916
  • 9[6]Lantuejoul C, Maisonneuve F. Geodesic methods in quantitative image analysis [J]. Pattern Recognition. 1984(17) :177～187
  • 10[7]Haris K. Hybrid Image Segmentation Using Watersheds and Fast Region Merging [ J]. IEEE Transactions on Image Processing. 1998, 7 (12):1684～1699

引证文献2

二级引证文献4

计算机工程
2004年 第15期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部