An adaptive thresholding method for binarization of blueprint images

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

17 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)927-943
Journal / PublicationPattern Recognition Letters
Volume21
Issue number10
Publication statusPublished - Sept 2000
Externally publishedYes

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.

Research Area(s)

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

Citation Format(s)

An adaptive thresholding method for binarization of blueprint images. / Zhao, Mansuo; Yang, Yibing; Yan, Hong.
In: Pattern Recognition Letters, Vol. 21, No. 10, 09.2000, p. 927-943.

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