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

基于PCNN的改进Split-merge图像分割 被引量：2

Split-merge Image Segmentation Based on PCNN Model
下载PDF
导出
摘要 为了更好地分割图像,对传统Split-merge算法作出改进:PCNN先进行分裂,用一种简化的Mumford-Shah模型进行合并,使得分裂阶段不仅无效分割减少,而且无方块效应,对边缘定位准确;合并阶段能够理想地将分裂后的区域合并为感兴趣的前景与不感兴趣的背景,误合并与欠合并大幅减小。对Papav,Monkey,Twoman图像的仿真表明,其分割结果和运行时间均优于AMS,MBMS算法。仿真结果证明,本文算法是一种适用于图像分割的有效算法。 In order to segment images more effectively,an improved Split-merge algorithm is proposed.Images are splited by PCNN and merged via a simplified Mumford-Shah model.Its advantages are as follows： at the split stage,it can reduce the number of invalid split and is immune from the block-effect,and locate more accurately edges;at the merge stage,it can merge areas into interesting foregrounds and uninteresting backgrounds and reduce the chance of the incorrect and insufficient merge.Experiments demonstrate that the algorithm is superior to both AMS and MBMS algorithms on the segmentation effect and the computation time.Thus,the method is effective for the image segmentation.
作者 张煜东 吴乐南 韦耿
机构地区 东南大学信息科学与工程学院
出处 《数据采集与处理》 CSCD 北大核心 2010年第3期353-357,共5页 Journal of Data Acquisition and Processing
基金 国家自然科学基金(60872075)资助项目 高等学校科技创新工程重大项目培育资金(706028)资助项目 江苏省自然科学基金(BK2007103)资助项目 东南大学优秀博士学位论文基金(YBJJ0908)资助项目
关键词 图像分割 分裂合并法 脉冲耦合神经网 image segmentation Split-merge method pulse coupled neural network
分类号 TN911.73 [电子电信—通信与信息系统]
  • 相关文献

参考文献12

  • 1Horowitz S L,Pavlidis T.Picture segmentation by a tree traversal algorithm[J].Journal of the Association for Computing Machinery,1976,23(2):368-388.
  • 2Yang H S,Lee S U.Split-and-merge segmentation employing thresholding technique[C] // Proceedings of IEEE International Conference on Image Processing.[S.l.] :IEEE,1997:239-242.
  • 3Wang B,Shu H Z,Shi C J,et al.A novel stochastic search method for polygonal approximation problem[J].Neurocomputing,2008,71(16/18):3216-3223.
  • 4Manousakes L N,Undrill P E,Gameron G G,et al.Split and merge segmentation of magnetic resonance medical images:Performance evaluation and extension to three dimensions[J].Computers and Biomedical Research,1998,31:393-412.
  • 5Damiand G,Resch P.Split-and-merge algorithms defined on topological maps for 3D image segmentation[J].Graphical Models,2003,65(1/3):149-167.
  • 6Barra V.Robust segmentation and analysis of DNA microarray spots using an adaptive split and merge algorithm[J].Computer Methods and Programs in Biomedicine,2006,81(2):174-180.
  • 7Liu L F,Sclaroff S.Deformable model-guided region split and merge of image regions[J].Image and Vision Computing,2004,22(4):343-354.
  • 8Chang L,Tang Z S,Chang S H,et al.A region-based GLRT detection of oil spills in SAR images[J].Pattern Recognition Letters,2008,29(14):1915-1923.
  • 9张煜东,吴乐南.基于二维Tsallis熵的改进PCNN图像分割[J].东南大学学报（自然科学版）,2008,38(4):579-584. 被引量：25
  • 10Zhang Y D,Wu L N.Segment-based coding of color images[J].Science in China F edition:Information Science,2009,52(6):914-925.

二级参考文献23

共引文献28

同被引文献44

  • 1KING P H. Digital Image Processing and Analysis: Hu- man and Computer Applications with CVIPtools, 2nd Edi- tion (Umbaugh, S.; 2011) [Book Reviews] [J]. Pulse, IEEE, 2012 (4): 84-85.
  • 2LIN C. A Novel College Network Resource Management Method using Cloud Computing [ J ]. Physics Procedia, 2012, 24, Part C(0) : 2293 -2297.
  • 3MAJUMDAR A, WARD R K, ABOULNASR T. Com- pressed Sensing Based Real -Time Dynamic MRI Recon- struction [ J]. Medical Imaging, IEEE Transactions on, 2012 (12) : 2253 -2266.
  • 4ZHANG Y, WANG S, JI G, 等. Genetic Pattern Search and Its Application to Brain Image Classification [ J ]. Mathematical Problems in Engineering, 2013 (8).
  • 5MANIAN V, VASQUEZ R, KATIYAR P. Texture classi- fication using logical operators [ J ]. IEEE Trans Image Process, 2000, 9(10) : 1693 - 1703.
  • 6TOTOK A, KARAMCHETI V. RDRP: Reward - Driven Request Prioritization for e - Commerce web sites [ J ]. Electronic Commerce Research and Applications, 2010 (6) : 549 -561.
  • 7KOSE K,CETIN A E, GODOKBAY U, 等. 3D Model compression using Connectivity -Guided Adaptive Wave- let Transform built into 2D SPIHT [ J]. Journal of Visual Communication and Image Representation, 2010 (1) : 17 -28.
  • 8SAMSI S, GADEPALLY V, KRISHNAMURTHY A. MATLAB for Signal Processing on Muhiprocessors and Multicores [ J ]. Signal Processing Magazine, IEEE, 2010 (2) : 40 -49.
  • 9CHOY R, EDELMAN A. Parallel MATLAB: Doing it Right [J]. Proceedings of the IEEE, 2005 (2): 331 - 341.
  • 10GONZALES- BARRON U, BUTLER F. A comparison of seven thresholding techniques with the k -means clustering algorithm for measurement of bread - crumb features by digital image analysis [J]. Journal of Food Engineering, 2006 (2) : 268 - 278.

引证文献2

二级引证文献12

数据采集与处理
2010年 第3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