Instance Aware Document Image Segmentation using Label Pyramid Networks and Deep Watershed Transformation | |
Li, Xiao-Hui4,5; Yin, Fei4,5; Xue, Tao2; Liu, Long2; Ogier, Jean-Marc3; Liu, Cheng-Lin1,4,5 | |
2019 | |
会议日期 | 2019-9 |
会议地点 | 澳大利亚悉尼国际会议中心(ICC) |
关键词 | document image segmentation instance segmentation label pyramid network deep watershed transformation |
英文摘要 | Segmentation of complex document images remains a challenge due to the large variability of layout and image degradation. In this paper, we propose a method to segment complex document images based on Label Pyramid Network (LPN) and Deep Watershed Transform (DWT). The method can segment document images into instance aware regions including text lines, text regions, figures, tables, etc. The backbone of LPN can be any type of Fully Convolutional Networks (FCN), and in training, label map pyramids on training images are provided to exploit the hierarchical boundary information of regions efficiently through multi-task learning. The label map pyramid is transformed from region class label map by distance transformation and multi-level thresholding. In segmentation, the outputs of multiple tasks of LPN are summed into one single probability map, on which watershed transformation is carried out to segment the document image into instance aware regions. In experiments on four public databases , our method is demonstrated effective and superior, yielding state of the art performance for text line segmentation, baseline detection and region segmentation. |
会议录出版者 | IEEE |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/44419] |
专题 | 自动化研究所_模式识别国家重点实验室 |
通讯作者 | Liu, Cheng-Lin |
作者单位 | 1.CAS Center for Excellence of Brain Science and Intelligence Technology, Beijing, P.R. China 2.Tencent Co. Ltd, Beijing, P.R. China 3.L3i Laboratory, University of La Rochelle, 17042 La Rochelle Cedex 1, France 4.University of Chinese Academy of Sciences, Beijing, P.R. China 5.National Laboratory of Pattern Recognition, Institute of Automation of Chinese Academy of Sciences 95 Zhongguancun East Road, Beijing 100190, P.R. China |
推荐引用方式 GB/T 7714 | Li, Xiao-Hui,Yin, Fei,Xue, Tao,et al. Instance Aware Document Image Segmentation using Label Pyramid Networks and Deep Watershed Transformation[C]. 见:. 澳大利亚悉尼国际会议中心(ICC). 2019-9. |
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