期刊文献+

图像分割的阈值法研究 被引量:45

Research on Thresholding Methods for Image Segmentation
在线阅读 下载PDF
导出
摘要 阐述了阈值分割法的基本原理,介绍了常用的阈值选取方法,并实现了全局阈值和动态阈值对图像的分割,给出了实验结果,分析了阈值法的特点,讨论了阈值法在图像分割中的应用. The basic principle of thresholding methods and typical threshold selecting methods are introduced in this paper. Image segmentations are implemented by global threshold and dynamic threshold, and the experimental results are given. The feature of thresholding methods as well as their applications in image segmentation are analyzed and discussed.
作者 杨晖
出处 《辽宁大学学报(自然科学版)》 CAS 2006年第2期135-137,共3页 Journal of Liaoning University:Natural Sciences Edition
关键词 图像分割 阈值法 全局阈值 动态阈值 image segmentation thresholding global threshold dynamic threshold.
  • 相关文献

参考文献11

  • 1章毓晋.图像工程(上册)-图像处理和分析[M].北京:清华大学出版社,1999..
  • 2Kittiler J, IUingworth J. Minimum error thresholding[J].Pattern Recognition, 1986, 19(1): 41- 47.
  • 3Otsu N. A threshold selection method from grey - level histograms[J]. IEEE Trans System. Man Cybernet, 1979,SMC-9:62 - 66.
  • 4Pun T. Entropy thresholding: A new approach. Compute Graphics[J] .Image Process , 1981, 16:210 - 239.
  • 5Kaput J N, Sahoo P K, Wong A K C. A new method of gray- level picture thresholding using the entropy of the histogram[ J]. Computer Vision, Graphics, and Image Processing, 1985, 29:273 - 285.
  • 6曹力,史忠科.基于最大熵原理的多阈值自动选取新方法[J].中国图象图形学报(A辑),2002,7(5):461-465. 被引量:16
  • 7种劲松,周孝宽,王宏琦.基于遗传算法的最佳熵阈值图像分割法[J].北京航空航天大学学报,1999,25(6):747-750. 被引量:25
  • 8韩思奇,王蕾.图像分割的阈值法综述[J].系统工程与电子技术,2002,24(6):91-94. 被引量:334
  • 9Orlando J. Tobias, Rui Seara. Image Segmentation by Histogram Thresholding Using Fuzzy Sets[J] .IEEE Trans Image Processing, 2002, 11(12) : 1457 - 1465.
  • 10H Tang. MRI brain image segmentation by multi - resolution edge detection and region selection [ J ]. Computerized Medical Imaging and Graphics, 2000, 24:349 -357.

二级参考文献30

  • 1游素亚,杨静.图象边缘检测技术的发展与现状[J].电子科技导报,1995(8):25-28. 被引量:22
  • 2邱鸿钟.大学生心理卫生[M].广州:广东高等教育出版社,1997.198-201.
  • 3[1]Pal N R,Pal S K.A Review on Image Segmentation Techniques[J].Pattern Recognition,1993,26(9):1277-1294.
  • 4[2]Bhanu B,Lee S,Ming J.Alaptive Image Segmentation Using a Genetic Algorithm[J].IEEE Trans.on System,Man,and Cybernetics,1995,5(12):1543-1565.
  • 5[3]Doyle W.Operation Useful for Similarity-Invariant Pattern Recognition[J].J.Asssoc.Comput.Mach.,1962,9:259-267.
  • 6[4]Lee S,Chung S.A Comparative Performance Study of Several Global Thresholding Techniques for Segmentation[J].Computer Vision,Graphics,and Image Processing,1990,52:171-190.
  • 7[5]Ostu N A.Threshold Selection Method from Gray-Level Histograms[J].IEEE Trans.on System,Man,and Cybernetics,1979,9(1):62-66.
  • 8[6]Tsai W H.Moment-Preserving Thresholding:A New Approach[J].Computer Vision,Graphics,and Image Processing,1985,29:377-393.
  • 9[7]Kittler J,Illingworth J.Minimum Error Thresholding[J].Pattern Recognition,1986,19:41-47.
  • 10[8]Cho S,Haralick R,Yi S.Improvement of Kittler and Illingworth's Minimum Error Thresholding[J].Pattern Recognition,1989,22:609-617.

共引文献431

同被引文献446

引证文献45

二级引证文献167

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