A double-threshold image binarization method based on edge detector

被引：90

作者：

Chen, Qiang ^{[1
]}

Sun, Quan-sen ^{[1
]}

Heng, Pheng Ann ^{[2
,3
]}

Xia, De-shen ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Comp Sci & Technol, Nanjing 210094, Peoples R China

[2] Chinese Univ Hong Kong, Dept Comp Sci & Engn, Shatin, Hong Kong, Peoples R China

[3] Chinese Univ Hong Kong, Chinese Acad Sci, Shenzhen Inst Adv Integrat Technol, Sha Tin, Hong Kong, Peoples R China

来源：

PATTERN RECOGNITION | 2008年 / 41卷 / 04期

基金：

中国国家自然科学基金;

关键词：

binarization; double-threshold; edge connection; edge detector; seed filling;

D O I：

10.1016/j.patcog.2007.09.007

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 a new double-threshold image binarization method based on the edge and intensity information. We first find seeds near the image edges and present an edge connection method to close the image edges. Then, we use closed image edges to partition the binarized image that is generated using a high threshold, and obtain a primary binarization result by filling the partitioned high-threshold binary image with the seeds. Finally, the final binarization result is obtained by remedying the primary binarization result with the low-threshold binary image. Compared with the classical binarization methods and the similar binarization methods, our method is effective on the binarization of images with low contrast, noise and non-uniform illumination. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：1254 / 1267

页数：14

共 24 条

[1]

[Anonymous], P C DOC AN SYST KAIS

[2]

Bernsen J., PROC INT CONF PATT R, P1251

[3] Efficient computation of adaptive threshold surfaces for image binarization [J].

Blayvas, I ;

Bruckstein, A ;

Kimmel, R .

PATTERN RECOGNITION, 2006, 39 (01) :89-101

[4] A COMPUTATIONAL APPROACH TO EDGE-DETECTION [J].

CANNY, J .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1986, 8 (06) :679-698

[5]

Cao R., 2000, P 4 IAPR INT WORKSH, P147

[6] A recursive thresholding technique for image segmentation [J].

Cheriet, M ;

Said, JN ;

Suen, CY .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 1998, 7 (06) :918-921

[7] Adaptive degraded document image binarization [J].

Gatos, B ;

Pratikakis, I ;

Perantonis, SJ .

PATTERN RECOGNITION, 2006, 39 (03) :317-327

[8]

KAMEL M, 1993, CVGIP-GRAPH MODEL IM, V55, P203, DOI 10.1006/cgip.1993.1015

[9] A NEW METHOD FOR GRAY-LEVEL PICTURE THRESHOLDING USING THE ENTROPY OF THE HISTOGRAM [J].

KAPUR, JN ;

SAHOO, PK ;

WONG, AKC .

COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1985, 29 (03) :273-285

[10] MINIMUM ERROR THRESHOLDING [J].

KITTLER, J ;

ILLINGWORTH, J .

PATTERN RECOGNITION, 1986, 19 (01) :41-47

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