Binarization Method Based on Local Contrast Enhancement

LU Di; HUANG Xin; LIU Changyuan; LIN Xue; ZHANG Huayu; YAN Jun

doi:10.11999/JEIT160197

Volume 39 Issue 1

Jan. 2017

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LU Di, HUANG Xin, LIU Changyuan, LIN Xue, ZHANG Huayu, YAN Jun. Binarization Method Based on Local Contrast Enhancement[J]. Journal of Electronics & Information Technology, 2017, 39(1): 240-244. doi: 10.11999/JEIT160197

Citation:

LU Di, HUANG Xin, LIU Changyuan, LIN Xue, ZHANG Huayu, YAN Jun. Binarization Method Based on Local Contrast Enhancement[J]. Journal of Electronics & Information Technology, 2017, 39(1): 240-244. doi: 10.11999/JEIT160197

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Binarization Method Based on Local Contrast Enhancement

doi: 10.11999/JEIT160197

Funds:

The Science and Technology Innovation Talents Project of Harbin (2014RFQXJ163)

Received Date: 2016-03-03
Rev Recd Date: 2016-07-12
Publish Date: 2017-01-19

Abstract

Abstract

Binarization for degraded document images is a difficult point in image processing. This paper presents a new binarization method for the degraded document images by analyzing the differences of image grayscale contrast in different areas. Firstly, theory of quadtree is used to divide areas adaptively. Secondly, various contrast enhancements are selected to adjust local grayscale contrast for different contrast areas. Lastly, the frequency of gray value is utilized to calculate threshold. The proposed algorithm is tested on random shooting degraded images and datasets of Document Image Binarization COntest (DIBCO). Compared with other four classical algorithms, the binaried images using the proposed algorithm gain the highest F-measure and PSNR (Peak Signal-to-Noise Ratio).
- Image processing,
- Binarization,
- Local contrast enhancement,
- Local threshold,
- Quadtree

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References(13)

References

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