| 基于人眼视觉的对不良照明图像的二值化方法 |
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| 引用本文： | 赵立龙,方志良,顾泽苍.基于人眼视觉的对不良照明图像的二值化方法[J].光子学报,2009,38(5):1301-1305. |
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| 作者姓名： | 赵立龙 方志良 顾泽苍 |
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| 作者单位： | 南开大学,现代光学研究所,光电信息技术教育部重点实验室,天津,300071 |
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| 基金项目： | 天津市重点科技公关项目 |
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| 摘 要： | 提出一种新的基于视觉特性的自适应阈值分割方法.利用人眼视觉对比敏感度特性把图像块分成两类，分别借助OTSU算法和模拟人眼识别过程的多尺度模糊隶属方法实现对这两类具有不同灰度特性图像块的自动阈值分割.实验结果表明，使用该方法能够有效的克服不良照明的影响，还原图像的原本特征信息，二值化效果较好.
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| 关 键 词： | 图像分割 人眼视觉 自适应阈值 二值化 |
| 收稿时间： | 2007-12-25 |
| 修稿时间： | 2008-01-25 |
Novel Adaptive Thresholding Technique for Poor Lighting Document Image Based on Human Vision Characteristic |
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| ZHAO Li-long,FANG Zhi-liang,GU Ze-cang.Novel Adaptive Thresholding Technique for Poor Lighting Document Image Based on Human Vision Characteristic[J].Acta Photonica Sinica,2009,38(5):1301-1305. |
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| Authors: | ZHAO Li-long FANG Zhi-liang GU Ze-cang |
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| Affiliation: | (The Key Laboratory of Opto-electronic Information Science and Technology, MOE, Institute of Modern Optics, Nankai University, Tianjin 300071, China) |
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| Abstract: | An algorithm of adaptive threshold partition based on human visual characteristic was proposed. All the image blocks were divided into two types by classification algorithm based on human visual contrast sensitivity. Then blocks with different types were binarized by OTSU and Multi-scale fuzzy membership grade algorithm respectively. The algorithm was realized with VC++ language. Experimental results show that this proposed method is well suitable for poor quality document image binarization. |
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| Keywords: | Human vision Image segmentation Adaptive thresholding Image binarization |
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