| 基于贝叶斯算法的二值化算法 |
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| 引用本文： | 白洁,杨耀权,陈余梅. 基于贝叶斯算法的二值化算法[J]. 华北电力大学学报(自然科学版), 2007, 34(3): 65-67,71 |
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| 作者姓名： | 白洁 杨耀权 陈余梅 |
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| 作者单位： | 华北电力大学,控制科学与工程学院,河北,保定,071003;广东省湛江电力有限公司,广东,湛江,524000 |
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| 摘 要： | 针对在图像二值化过程中动态选取阈值难的问题,在分析了全局阈值法和局部阈值法各自优缺点的基础上,提出了一种基于贝叶斯算法的全局阈值法和局部阈值法相结合的二值化方法。经实验证明,该方法既能够有效地消除光照不均匀对图像的影响,较好地保留目标图像的细节,又能够有效地消除伪影,提高处理速度。
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| 关 键 词： | 二值化 全局阈值法 局部闽值法 贝叶斯算法 |
| 文章编号： | 1007-2691（2007）03-0065-03 |
| 修稿时间： | 2006-11-24 |
Application of binarization based on Bayes algorithm |
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| BAI Jie,YANG Yao-quan,CHEN Yu-mei. Application of binarization based on Bayes algorithm[J]. Journal of North China Electric Power University, 2007, 34(3): 65-67,71 |
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| Authors: | BAI Jie YANG Yao-quan CHEN Yu-mei |
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| Affiliation: | 1. School of Control Science and Engineering, North China Electric Power University, Baoding 071003, China; 2.Zhanjiang Electric Power Co. Ltd., Zhanjiang 524000, China |
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| Abstract: | Aiming at the difficulties of selecting threshold value dynamically in the process of image binarization,a binarization method based on Bayes algorithm is derived,this method is a combination of global threshold method and local threshold method.Experiments prove that this method is able to eliminate the effects of unequal illumination and artifacts,retain target image's details and raise the processing speed. |
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| Keywords: | binarization global threshold local threshold Bayes algorithm |
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