Automated seeded region growing method for document image binarization based on topographic features

	Automated seeded region growing method for document image binarization based on topographic features
	Sun, YF ; Chen, Y ; Zhang, YZ ; Li, YX
	2004
发表期刊	IMAGE ANALYSIS AND RECOGNITION, PT 2, PROCEEDINGS
ISSN	0302-9743
卷号	3212 页码:200-208
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.
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Imaging Science & Photographic Technology
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology
WOS记录号	WOS:000224317200025
出版者	SPRINGER-VERLAG BERLIN
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/13821
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.