EVALUATION OF BINARIZATION METHODS FOR DOCUMENT IMAGES

被引：226

作者：

TRIER, OD ^{[1
]}

TAXT, T ^{[1
]}

机构：

[1] UNIV OSLO,DEPT INFORMAT,N-0316 OSLO,NORWAY

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1995年 / 17卷 / 03期

关键词：

LOCALLY ADAPTIVE BINARIZATION; THRESHOLDING; EVALUATION; UTILITY MAPS; DOCUMENT IMAGES;

D O I：

10.1109/34.368197

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an evaluation of eleven locally adaptive binarization methods for gray scale images with low contrast, variable background intensity and noise. Niblack's method with the addition of the postprocessing step of Yanowitz and Bruckstein's method added performed the best and was also one of the fastest binarization methods.

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收藏

页码：312 / 315

页数：4

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