Nonparametric Illumination Correction for Scanned Document Images via Convex Hulls

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 先进时空数据分析与学习

	Nonparametric Illumination Correction for Scanned Document Images via Convex Hulls
	Meng, Gaofeng1 ; Xiang, Shiming1 ; Zheng, Nanning 2; Pan, Chunhong1
发表期刊	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
	2013-07-01
卷号	35 期号:7 页码:1730-1743
文章类型	Article
摘要	A scanned image of an opened book page often suffers from various scanning artifacts known as scanning shading and dark borders noises. These artifacts will degrade the qualities of the scanned images and cause many problems to the subsequent process of document image analysis. In this paper, we propose an effective method to rectify these scanning artifacts. Our method comes from two observations: that the shading surface of most scanned book pages is quasi-concave and that the document contents are usually printed on a sheet of plain and bright paper. Based on these observations, a shading image can be accurately extracted via convex hulls-based image reconstruction. The proposed method proves to be surprisingly effective for image shading correction and dark borders removal. It can restore a desired shading-free image and meanwhile yield an illumination surface of high quality. More importantly, the proposed method is nonparametric and thus does not involve any user interactions or parameter fine-tuning. This would make it very appealing to nonexpert users in applications. Extensive experiments based on synthetic and real-scanned document images demonstrate the efficiency of the proposed method.
关键词	Document Image Processing Illumination Correction Scanning Artifacts Dark Border Noise Convex Hull
WOS标题词	Science & Technology ; Technology
关键词[WOS]	MARGINAL NOISE REMOVAL ; SHADING CORRECTION ; PRINTED MATERIALS ; 2 DIMENSIONS ; BOOK ; BINARIZATION ; ALGORITHMS ; DISTORTION ; BOUNDARY ; POINTS
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000319060600015
引用统计	被引频次：15[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3712
专题	多模态人工智能系统全国重点实验室_先进时空数据分析与学习
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot, Xian 710049, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Meng, Gaofeng,Xiang, Shiming,Zheng, Nanning,et al. Nonparametric Illumination Correction for Scanned Document Images via Convex Hulls[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2013,35(7):1730-1743.
APA	Meng, Gaofeng,Xiang, Shiming,Zheng, Nanning,&Pan, Chunhong.(2013).Nonparametric Illumination Correction for Scanned Document Images via Convex Hulls.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,35(7),1730-1743.
MLA	Meng, Gaofeng,et al."Nonparametric Illumination Correction for Scanned Document Images via Convex Hulls".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 35.7(2013):1730-1743.

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