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分水岭分割的方向迭代后处理算法 被引量:2

Directional Relaxation Post-processing Method of Watershed Segmentation
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摘要 为了提取彩色图像中线目标,该文提出了一种新的彩色图像分割算法,首先对图像进行分水岭分割得到初始过分割图像,并通过模糊聚类方法得到区域分类概率,然后根据图像的边缘信息和空间特性,得到区域的线方向邻接区域,最后通过迭代的方法,利用线方向邻接区域信息更新区域的分类概率。实验结果显示了很好的提取效果。 In order to extract line objects from color images, this paper presents a new method of color image segmentation. Firstly, original over-segmented image is made by watershed transform and classified probability of each region is obtained using fuzzy clustering method in LUV color space. Then it extracts the neighboring regions in line direction of each region based on edge information and spatial characteristic. Finally the classified probability of each region is updated using the information of its neighboring regions, The experimental results show that the segmentation gives very good extraction result.
出处 《计算机工程》 EI CAS CSCD 北大核心 2006年第12期8-10,共3页 Computer Engineering
基金 国家自然科学基金资助项目(60272042)
关键词 分水岭分割 LUV色彩空间 分类概率 线方向 Watershed segmentation LUV color space Classified probability Line direction
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参考文献5

  • 1Roerdink J,Meijster A.The Watershed Transform:Definitions,Algorithms and Parallelization Strategies[J].Fundamenta Informatics,2000,41(1/2):187-228.
  • 2Jung C R,Scharcanski J.Robust Watershed Segmentation Using the Wavelet Transform[C].Proceedings of the XV Brazilian Symposium on CGIP,2002:131-137.
  • 3Hansen M,Higgins W.Watershed-driven Relaxation Labeling for Image Segmentation[C].Proceedings of the ICIP,TX:Austin,1994,3:460-464.
  • 4Huang A,Nielson G,Razdan A,et al.Line and Net Pattern Segmentation Using Shape Modeling[C].Proceedings of the SPIE,Santa Clara,CA:VDA,2003,5009:171-180.
  • 5Eom S,Chang S,Ahn B.Watershed-based Region Merging Using Conflicting Regions[C].Proceedings of the ICIP,NY:Rochester,2002:2:781-784.

同被引文献14

  • 1Patino L.Fuzzy relations applied to minimize ovcr segmcn-tation in watershed algorithns[J].Pattem Recognition Letters,2005,26(6):819-828.
  • 2HarisK.Hybrid image segmentation using watersheds and fast region merging[J].IEEE Transactions on Image Processing,1998,7(12):1684-1699.
  • 3Roerdink J,Meijster A.The Watershed Transform:Definitions,Algorithms and Parallelization Strategies[J].Fundamenta Informaticae,2001,41:187-228.
  • 4Vincent L,Soille P.Watershed in digital spaces:an efficient algorithm based on immersion simulations[J].IEEE Transaction on Pattern Analysis and Machine Intelligence,1991,13(6):583-598.
  • 5刘海宾,何希勤,刘向东.基于分水岭和区域合并的图像分割算法[J].计算机应用研究,2007,24(9):307-308. 被引量:14
  • 6严春来,邓天权,刘继.彩色图像分割算法的研究[D].成都:电子科技大学,2009.
  • 7RafaelC.GonzalezRichardE.Woods.冈萨雷斯数字图像处理[M].第二版.北京:电子工业出版社,2007.
  • 8Tiago A. Ferreira Wayne Rasband, The ImageJ User Guide[M], Version 1.43,2010.
  • 9宋玉丹,容幸福.ImageJ在矿物初碎检测中应用[D].太原:太原理工大学,2008.
  • 10吴海彬,李文锦,何祖恩.基于粒子群算法的工件视觉测量研究[J].机械设计与制造,2009(10):41-43. 被引量:2

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