高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

改进的二维Otsu图像分割方法及其快速实现

陈琪 熊博莅 陆军 匡纲要

陈琪, 熊博莅, 陆军, 匡纲要. 改进的二维Otsu图像分割方法及其快速实现[J]. 电子与信息学报, 2010, 32(5): 1100-1104. doi: 10.3724/SP.J.1146.2009.00627
引用本文: 陈琪, 熊博莅, 陆军, 匡纲要. 改进的二维Otsu图像分割方法及其快速实现[J]. 电子与信息学报, 2010, 32(5): 1100-1104. doi: 10.3724/SP.J.1146.2009.00627
Chen Qi, Xiong Bo-li, Lu Jun, Kuang Gang-yao. Improved Two-Dimensional Otsu Image Segmentation Method and Fast Recursive Realization[J]. Journal of Electronics & Information Technology, 2010, 32(5): 1100-1104. doi: 10.3724/SP.J.1146.2009.00627
Citation: Chen Qi, Xiong Bo-li, Lu Jun, Kuang Gang-yao. Improved Two-Dimensional Otsu Image Segmentation Method and Fast Recursive Realization[J]. Journal of Electronics & Information Technology, 2010, 32(5): 1100-1104. doi: 10.3724/SP.J.1146.2009.00627

改进的二维Otsu图像分割方法及其快速实现

doi: 10.3724/SP.J.1146.2009.00627

Improved Two-Dimensional Otsu Image Segmentation Method and Fast Recursive Realization

  • 摘要: 通过实验和理论验证2维直方图的副对角区域的概率和不一定很小而不能忽略,因而传统2维Otsu法中关于主对角区域的概率和近似为1的假设不够合理。针对该问题,该文提出了一种改进的2维Otsu法及其快速实现。新方法舍弃了不合理的假设,通过单独计算2维直方图主对角区域概率的方法,来准确估计主对角区域中目标和背景的概率,并重新计算2维Otsu。实验结果表明,改进的2维Otsu法能够获得明显优于传统2维Otsu法的分割效果,其快速算法的计算复杂度与传统2维Otsu法的快速算法相当。
  • Otsu N. A threshold selection method from gray level histogram[J].IEEE Transactions on System, Man and Cybernetics.1979, 9(1):62-66[2]李弼程,柳葆芳. 基于二维直方图的模糊门限分割方法[J]. 数据采集与处理,2000, 15(3): 324-329.Li Bi-cheng and Liu Bao-fang. Fuzzy thresholding of segmentation based on two-dimensional histogram[J].Journal of Data Acquisition Processing.2000, 15(3):324-329[3]刘建庄, 粟文青. 灰度图像的二维Otsu自动阈值分割法[J]. 自动化学报,1993, 19(1): 101-105.[4]Liu Jian-zhuang and Li Wen-qing. Automatic thresholding of[5]gray-level pictures using two-dimension Otsu method[J]. Acta[6]Automatica Sinica, 1993, 19(1): 101-105.[7]Gong Jian, Li Li-yuan, and Chen Wei-nan. Fast recursive algorithm for two-dimensional thresholding[J].Pattern Recognition.1998, 31(3):295-300[8]范九伦,赵凤. 灰度图像的二维Otsu曲线阈值分割法[J]. 电子学报,2007, 35(4): 751-755.Fan Jiu-lun and Zhao Feng. Two-dimensional Otsus curve thresholding segmentation method for gray-Level images[J]. Acta Electronica Sinica, 2007, 35(4): 751-755.[9]郝颖明,朱枫. 2维Otsu自适应阈值的快速算法[J]. 中国图象图形学报,2005, 10(4): 484-488.Hao Ying-ming and Zhu Feng. Fast algorithm for two-dimensional Otsu adaptive threshold algorithm[J]. Journal of Image and Graphics, 2005, 10(4): 484-488.[10]吴一全,潘喆,吴文怡. 二维直方图区域斜分阈值分割及快速递推算法[J]. 通信学报,2008, 29(4): 77-84.Wu Yi-quan, Pan Zhe, and Wu Wen-yi. Image thresholding based on two-dimensional histogram oblique segmentation and its fast recurring algorithm[J]. Journal on Communications, 2008, 29(4): 77-84.[11]吴一全,潘喆,吴文怡. 二维直方图斜分Tsallis-Havrda- Charvt熵图像阈值分割[J]. 光电工程, 2008, 35(7): 53-58.Wu Yi-quan, Pan Zhe, and Wu Wen-yi. Tsallis-Havrda- Charvt entropy image thresholding based on two-dimensional histogram oblique segmentation[J].Opto- Electronic Engineering.2008, 35(7):53-58
  • 加载中
计量
  • 文章访问数:  5562
  • HTML全文浏览量:  124
  • PDF下载量:  1918
  • 被引次数: 0
出版历程
  • 收稿日期:  2009-04-28
  • 修回日期:  2009-09-28
  • 刊出日期:  2010-05-19

目录

    /

    返回文章
    返回