An adaptive thresholding method for binarization of blueprint images
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
---|---|
Pages (from-to) | 927-943 |
Journal / Publication | Pattern Recognition Letters |
Volume | 21 |
Issue number | 10 |
Publication status | Published - Sept 2000 |
Externally published | Yes |
Link(s)
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.
In: Pattern Recognition Letters, Vol. 21, No. 10, 09.2000, p. 927-943.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review