自动化学报Issue(8)：1773-1782,10.DOI:10.3724/SP.J.1004.2014.01773
高斯尺度空间下估计背景的自适应阈值分割算法
An Adaptive Thresholding Algorithm by Background Estimation in Gaussian Scale Space
摘要
Abstract
An adaptive image thresholding algorithm by mean of background estimation in Gaussian scale space is proposed for thresholding images with uneven illumination. Firstly, a Gaussian scale space, which is produced by the convolution of a two-dimensional Gaussian function with an input image, is used to estimate the background image. After background subtraction, the objective image can be easily obtained to eliminate interference of uneven illumination. Secondly,γ correction is employed to enhance the image to highlight those darker ob jects. Finally, the thresholding result is extracted easily using the global valley-emphasis Otsu method. To test the effectiveness of the introduced scheme, image segmentation tests are carried out for document and non-document images with uneven illumination, and then comparisons on misclassification error (ME) and time expenditure are performed among the proposed approach, the biased field-based fuzzy c-means (FCM) method, the adaptive gray wave transformation thresholding scheme and the adaptive minimum error thresholding algorithm. The results show that the introduced method yields better visual quality and lower ME values than these three approaches.关键词
图像分割/自适应阈值分割/高斯尺度空间/背景估计/背景差Key words
Image segmentation/adaptive thresholding/Gaussian scale space/background estimation/background subtraction引用本文复制引用
龙建武,申铉京,臧慧,陈海鹏..高斯尺度空间下估计背景的自适应阈值分割算法[J].自动化学报,2014,(8):1773-1782,10.基金项目
国家自然科学基金(60973090),吉林省自然科学基金(201115025),教育部重点实验室开放基金(450060445325),吉林大学研究生创新基金(20121104)资助Supported by National Natural Science Foundation of China (60973090), Natural Science Foundation of Jilin Province (201115025), Opening Project Foundation of Key Laboratory Ministry of Education (450060445325), and Graduate Innova-tion Fund of Jilin University (20121104) （60973090）
