期刊文献+

基于聚类的图像分割方法

下载PDF
导出
摘要 基于当代科技的迅速发展,视觉信息以最直观、最快速、最便捷的优点被大众所接受。因此,基于图像处理的硬件和软件都有了较迅速的发展。为了尽量保证视频信息的无失真传输,图像处理作为整个信息传输的首要过程尤为重要。本文主要将图论方法用于图像分割的基本理论进行简要介绍,对模糊聚类和K均值算法基于聚类的图像分割方法进行粗略的阐述。
出处 《电子制作》 2012年第12X期133-133,共1页 Practical Electronics
  • 相关文献

参考文献5

二级参考文献14

  • 1LIN Kai-yan,WU Jun-hui,XU Li-hong.A survey on color image segmentation techniques[J].Journal of Image and Graphics,2005,10(1):1-10.
  • 2ALI M A,DOOLEY L S,KARMAKAR G C.Fuzzy image segmentation combing ring and elliptic shaped clustering algorithms[C]//MARIO C.International Conference on Information Technology:Coding and Computing (ITCC′05)-Volume II.Nevada:IEEE CS Press,2005:118-122.
  • 3ALI M A,DOOLEY L S,KARMAKAR G C.Fuzzy image segmentation using location and intensity[C]//ZHANG Hui.Third IASTED International Conference on Visualization Imaging and Processing.Hawaii:ACTA,2003:399-404.
  • 4CHAD C,SERGE B,HAYIT G,et al.Blobworld:Image segmentation using expectation-maximization and its application to image querying[J].IEEE Trans on Pattern Analysis and Machine Intelligence,2002,24(8):1026-1038.
  • 5WOLFGANG F.A framework for low-level feature extraction[C]//EKLUNDH J O.Computer Vision-ECCV′94.Sweden:Springer,1994:383-394.
  • 6KIM D W,LEE K H,LEE D.A novel initialization scheme for the fuzzy c-means algorithm for color clustering[J].Pattern Recognition Letters,2004,25(2):227-237.
  • 7SMITH J R,CHANG Shi-fu.Single color extraction and image query[C]//LIU Bede.Proceedings of the 2nd IEEE International Conference on Image Processing.Atlanta:IEEE Signal Processing Society,1995:528-531.
  • 8STAIB L H,DUNCAN J S.Boundary finding with parametrically deformable models[J].IEEE Trans Pattern Anal Mach Intell,1992,14(11):1061-1075.
  • 9ELKAN C . Using the triangle inequality to accelerate k - means [C]//Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003). Menlo Park: AAAI Press, 2003: 147 -153.
  • 10BRADLEY P S, FAYYAD U M. Refining initial points for k-means clustering [C]//Proceedings of the 15th International Conference on Machine Learning (ICML'98). San Francisco: Morgan Kanfmann, 1998:91-99.

共引文献124

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