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基于Itakura-Saito散度的图像分割法 被引量:1

Image segmentation method based on divergence of Itakura-Saito
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摘要 针对Otsu阈值法仅适合图像目标和背景分布呈正态分布且两者像素量和方差要求基本相当的不足,提出了基于Itakura-SaitoS散度的图像阈值化分割新算法。实验结果表明,对有些图像采用Itakura-Saito散度的阈值法比传统Otsu阈值法能够获得较好的分割效果。 Aimed at the shortage of Otsu' s thresholding method which is only suitable for the probability models of image target and background having normal distribution, and the pixel amount and variance of image target and background are mainly equivalent, the new segmentation method based on divergence of Itakura- Saito is proposed. Experimental results show that the new thresholding method of this paper is feasible, and the segmentation vision quality of some images by means of thresholding method based on divergence of Itakura- Saito is better than that of Otsu' s method.
作者 赵勇 吴成茂
出处 《西安邮电学院学报》 2007年第1期80-83,共4页 Journal of Xi'an Institute of Posts and Telecommunications
基金 陕西省教育厅项目(编号:06JK194)
关键词 图像分割 阈值法 OTSU法 Itakuta-Saito散度 image segmentation thresholding method Otsu's method divergence of Itakura-Saito
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参考文献6

  • 1N. Otsu, A threshold selection method from gray- level histogram[J]. IEEE Trans, On Systems,Man Cybernetics, 1979,9(1):62- 66.
  • 2T. kuria, N. Otsu and N. Abdelmalek, Maximum likelihood threshloding based on population mixture models [J ]. Pattern Recognition, 25,1992:1231 - 1240.
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  • 5刘健庄.基于二维直方图的图象模糊聚类分割方法[J].电子学报,1992,20(9):40-46. 被引量:67
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二级参考文献1

  • 1刘健庄,1990年

共引文献66

同被引文献4

  • 1N Otsu. A threshold selection method from gray- level histogram[ J]. IEEE Trans. On Systems, Man Cybernetics, 1979, 9(1) :62 -66.
  • 2T kuria, N Otsu, N Abdelmalek. Maximum likelihood threshloding based on population mixture models [ J ]. Pattern Recognition, 1992,25 : 1231 - 1240.
  • 3J kittler, J Illingworth. Minimum error thresholdings, Pattern Recognition[J]. 1986,19( 1 ):41 -47.
  • 4A D Brink. Grey- level thresholding of image using a correlation criterion [ J ]. Pattern recognition Letters, 1989, (9) : 335 - 341.

引证文献1

二级引证文献8

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