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基于邻域灰度差值的二维Otsu分割方法研究肖 刚 应晓芳 高 飞 陈久军 周鸿斌


   (浙江工业大学 信息工程学院, 杭州 310014)

  摘 要:针对传统二维灰度直方图的阈值分割方法中区域划分像素易丢失、运算速度慢等不足,通过深入分析图像中邻域灰度偏离的情况,并充分考虑像素的空间灰度信息,提出一种利用像素邻域灰度差值的新方法构建二维直方图;基于二维类间方差法实现了图像二维Otsu分割方法,并给出了相应算法的实现步骤。以生物图像中的鱼体分割为实例对方法进行了实验验证,结果表明算法分割效果良好,运算速度提高较明显。

  关键词:二维直方图;阈值;邻域灰度差值;Otsu分割

  中图分类号:TP391文献标志码:A

  文章编号:1001-3695(2009)04-1544-02

  2D Otsu method based on difference of gray-level histogram

  XIAO Gang,YING Xiao-fang,GAO Fei,CHEN Jiu-jun,ZHOU Hong-bin

  (College of Information Engineer, Zhejiang University of Technology, Hangzhou 310014, China)

  Abstract:According to the analysis of the threshold method for image segmentation based on the traditional 2D gray-level histogram which partitioned the areas with some wrong pixels and processes slowly,this paper brought forword a new method which built the 2D histogram using the difference of the gray-level in the neighborhood.Implemented 2D Otsu method based on between-cluster variance.This method well considered the departure of the gray-level and the information of area gray-level. The experiment shows that the segmentation result of this method is better especial in biological image segmentation and its computation time is reduced much which can apply in the real-time segmentation.

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