Adaptive Image Thresholding by Background Subtraction

DOI

10.2991/icibet.2013.24How to use a DOI?

Abstract

In this paper, an adaptive image thresholding algorithm is proposed for thresholding images with uneven illumination. Firstly, a Gaussian scale space, which is produced from the convolution of a two-dimensional Gaussian function with an input image, is used to estimate the background image. Followed by background subtraction, the objective image can be easily obtained to eliminate interference of uneven illumination. Thirdly, to highlight those darker objects, gamma correction is employed to enhance the objective image. Finally, the thresholding result is extracted easily using the global valley-emphasis Otsu method. The experimental results show that the introduced method yields satisfactory visual quality.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jianwu LONG
AU  - Xuanjing SHEN
AU  - Hui ZANG
AU  - Haipeng CHEN
PY  - 2013/03
DA  - 2013/03
TI  - Adaptive Image Thresholding by Background Subtraction
BT  - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
PB  - Atlantis Press
SP  - 116
EP  - 119
SN  - 1951-6851
UR  - https://doi.org/10.2991/icibet.2013.24
DO  - 10.2991/icibet.2013.24
ID  - LONG2013/03
ER  -