An adaptive thresholding method for binarization of blueprint images

Mansuo Zhao, Yibing Yang, Hong Yan

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

18 Citations (Scopus)

Abstract

This paper proposes an adaptive logical thresholding method for the binarization of blueprint images. The new method exploits the geometric features of blueprint images. This is implemented by utilizing a robust windows operation, which is based on the assumption that the objects have "c" shape in a small area. We make use of multiple window sizes in the windows operation. This not only reduces computation time but also separates effectively thin lines from wide lines. Our method can automatically determine the threshold of images. Experiments show that our method is effective for blueprint images and achieves good results over a wide range of images. © 2000 Elsevier Science B.V.
Original languageEnglish
Pages (from-to)927-943
JournalPattern Recognition Letters
Volume21
Issue number10
DOIs
Publication statusPublished - Sept 2000
Externally publishedYes

Research Keywords

  • Blueprint images
  • Image binarization
  • Image segmentation
  • Image thresholding

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