Automated seeded region growing method for document image binarization based on topographic features | |
Sun, YF; Chen, Y; Zhang, YZ; Li, YX | |
刊名 | IMAGE ANALYSIS AND RECOGNITION, PT 2, PROCEEDINGS
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2004 | |
卷号 | 3212页码:200-208 |
ISSN号 | 0302-9743 |
英文摘要 | Binarization of document images with poor contrast, high noise and variable modalities remains a challenging problem. This paper proposes a new binarization method that adopts the use of seeded region growing and character's topographic feature. It consists of three steps: first, seed pixels are selected automatically according to their topographic features; second, regions are grown controlled by new weighted priority until all pixels are labeled black or white; third, noisy regions are removed based on the average stroke width feature. Our method overcomes the difficulty of global binarization to find a single value to fit all. It also avoids the common problem in most local thresholding technique of finding a suitable window size. The proposed method performed well in binarization and the experimental results of evaluation showed significant improvement compared to several other methods. |
WOS研究方向 | Computer Science ; Imaging Science & Photographic Technology |
语种 | 英语 |
出版者 | SPRINGER-VERLAG BERLIN |
WOS记录号 | WOS:000224317200025 |
内容类型 | 期刊论文 |
源URL | [http://119.78.100.204/handle/2XEOYT63/13820] ![]() |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Sun, YF |
作者单位 | 1.Chinese Acad Sci, Comp Technol Inst, Beijing 100080, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China |
推荐引用方式 GB/T 7714 | Sun, YF,Chen, Y,Zhang, YZ,et al. Automated seeded region growing method for document image binarization based on topographic features[J]. IMAGE ANALYSIS AND RECOGNITION, PT 2, PROCEEDINGS,2004,3212:200-208. |
APA | Sun, YF,Chen, Y,Zhang, YZ,&Li, YX.(2004).Automated seeded region growing method for document image binarization based on topographic features.IMAGE ANALYSIS AND RECOGNITION, PT 2, PROCEEDINGS,3212,200-208. |
MLA | Sun, YF,et al."Automated seeded region growing method for document image binarization based on topographic features".IMAGE ANALYSIS AND RECOGNITION, PT 2, PROCEEDINGS 3212(2004):200-208. |
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