Adaptive Image Thresholding by Background Subtraction
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.
thresholding background estimation background subtraction
LONG Jian-wu SHEN Xuan-jing ZANG Hui CHEN Hai-peng
College of Computer Science and Technology, Jilin University, Changchun 130012,China;Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education,Jilin University, Changchun 130012, China
国际会议
北京
英文
81-84
2013-03-14(万方平台首次上网日期,不代表论文的发表时间)