Adaptive Image Thresholding by Background Subtraction
Jianwu Long, Xuanjing Shen, Hui ZANG, Haipeng Chen · Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013) · 2013
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 valleyemphasis Otsu method.The experimental results show that the introduced method yields satisfactory visual quality.