A novel image binarization method using hybrid thresholding

Kuo, Tien-Ying; Lai, Yan-Hao; Lo, Yu Chih

doi:10.1109/icme.2010.5583364

Cited by 14 publications

(13 citation statements)

References 6 publications

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“…Binarization algorithms can be categorised into three approaches: global [1], local [2], [3], [4], [5] and hybrid [6], [7], [8]. Most of the existing algorithms are not directly applicable to map images.…”

Section: Related Workmentioning

confidence: 99%

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Land Map Images Binarization Based on Distance Transform and Adaptive Threshold

Biswas

Mandal

Das

et al. 2014

2014 11th IAPR International Workshop on Document Analysis Systems

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This work presents a binarization technique of map document images. It exploits an amalgam of global and local threshold approaches best suited for binarization of document images with complex background and overlapping objects in the foreground like maps. The proposed approach uses Distance Transform (DT) and Adaptive threshold. Initially a rough estimate of the map background is done using Distance Transform (DT). This is followed by an adaptive threshold operation to extract the foreground. The efficacy and accuracy of the proposed technique are also compared, using ICDAR 2009 -DIBCO (Document Image Binarization Contest) evaluation parameters, with other algorithms already reported in the literature.

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Section: Related Workmentioning

confidence: 99%

“…Several binarization methods [16], [6], [11] are satisfactory for document images having mixed with graphics or degradations due to source or lights. These approaches used various parameters for binarization.…”

Section: Related Workmentioning

confidence: 99%

Land Map Images Binarization Based on Distance Transform and Adaptive Threshold

Biswas

Mandal

Das

et al. 2014

2014 11th IAPR International Workshop on Document Analysis Systems

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“…In 2010, Kuo et al [19] combined Otsu's method which is global thresholding with Niblack and Sauvola's methods which are local thresholding. The objective of this algorithm is to retain the picture information after binarization.…”

Section: Hybrid Algorithmmentioning

confidence: 99%

“…The algorithm was done in order to improve and solve the problems that are occurred in global and local thresholding. In 2010, Kuo et al [19] also proposed the hybrid thresholding technique for grey-scale images. Table 1 is a summary of thresholding techniques that are used in this report.…”

Section: Introductionmentioning

confidence: 99%

Analysis of thresholding techniques for asymmetrical annular flow image

Umar

Ismail

2012

2012 IEEE Control and System Graduate Research Colloquium

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This paper present the result of a study the behaviour of asymmetrical annular two-phase gas-liquid flow at different gas and liquid flow rate by using several thresholding techniques. The behaviour of annular flow is analysed base on liquid film thickness which is calculated after thresholding process. Thresholding techniques are applied on the images which are captured by Electrical Capacitance Tomography (ECT) in vertical upward flow. The results at the end of this report show which thresholding techniques that able to yield good thresholding images and show the liquid film thickness of annular two-phase flow at different gas and liquid flow rate.

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“…of local binarization methods Bernsen [4], Niblack [5], Sauvola [6] and Lu [7] and hybrid binarization, e.g. Kuo [8].…”

Section: Introductionmentioning

confidence: 99%

New Binarization Approach Based on Text Block Extraction

Messaoud

Amiri

Abed

et al. 2011

2011 International Conference on Document Analysis and Recognition

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Document analysis and recognition systems include, usually, several levels, annotation, preprocessing, segmentation, feature extraction, classification and postprocessing. Each level may be dependent on or independent from the other levels. The presence of noise in images can affect the performance of the entire system. This noise can be introduced by the digitization step or from the document itself. In this paper, we present a new binarization approach based on a combination between a preprocessing step and a localization step. The aim of the present approach is the application of binarization algorithms on selected objects-ofinterest. The evaluation of the developed approach is performed using two benchmarking datasets from the last two document binarization contests (DIBCO 2009 and H-DIBCO 2010). It shows very promising results.

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A novel image binarization method using hybrid thresholding

Cited by 14 publications

References 6 publications

Land Map Images Binarization Based on Distance Transform and Adaptive Threshold

Land Map Images Binarization Based on Distance Transform and Adaptive Threshold

Analysis of thresholding techniques for asymmetrical annular flow image

New Binarization Approach Based on Text Block Extraction

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