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  • 标题:Threshold and binarization for document image analysis using otsu’s Algorithm
  • 本地全文:下载
  • 作者:Dr. Neeraj Bhargava ; Anchal kumawat ; Dr. Ritu Bhargava
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2014
  • 卷号:17
  • 期号:5
  • 页码:272-275
  • DOI:10.14445/22312803/IJCTT-V17P150
  • 出版社:Seventh Sense Research Group
  • 摘要:This paper deal with a Binarization of image using a global threshold. Otsu calculates a global threshold by accepting the existence of two classes, foreground and background pixels, and choose the threshold that minimizes the interclass variance of the threshold black and white pixels. Converting a gray scale image to binarize is a common image processing task. In this paper, image processing methods are presented for automatically finding the optimum global threshold value.
  • 关键词:Binarization; otsu; gray scale image; intensity histogram; global threshold.
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