| 图像统计学习进行昼夜区分的算法 |
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| 引用本文： | 胡家兴,陈燕,张力为,向怀坤.图像统计学习进行昼夜区分的算法[J].大连海事大学学报(自然科学版),2006,32(2):82-85. |
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| 作者姓名： | 胡家兴 陈燕 张力为 向怀坤 |
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| 作者单位： | 大连海事大学经济与管理学院 辽宁大连116026(胡家兴，陈燕，张力为)，深圳市哈工大交通电子技术有限公司 广东深圳518057(向怀坤) |
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| 摘 要： | 通过对实际路口昼夜路面状况的分析,提出在“视频电子警察系统”中进行昼夜区分以提高车辆检测精度的必要性,分析了常见的昼夜区分方法的优缺点,在此基础上,研究提出一种利用路面灰度特征,对视频图像进行统计学习进行昼夜区分的算法,通过应用大量实测图像数据,得出了相应的统计数据曲线,验证了算法的可靠性、高效性以及通用性.
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| 关 键 词： | 智能交通系统 图像统计学习 昼夜区分 视频检测 灰度统计 电子警察 |
| 文章编号： | 1006-7736(2006)02-0082-04 |
| 收稿时间： | 2006-01-06 |
| 修稿时间： | 2006年1月6日 |
Algorithm of distinguishing day and night with image statistics |
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| HU Jia-xing,CHEN Yan,ZHANG Li-wei,XIANG Huai-kun.Algorithm of distinguishing day and night with image statistics[J].Journal of Dalian Maritime University,2006,32(2):82-85. |
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| Authors: | HU Jia-xing CHEN Yan ZHANG Li-wei XIANG Huai-kun |
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| Abstract: | The state of actual crossing road surface in day and night was analyzed.The necessity of distinguishing day and night for enhancing the vehicles-detecting precision in the video electronic police system was put forward and the advantage and disadvantage of normal way to distinguish day and night at present was analyzed.The author presented an algorithm to distinguish day and night by statistic and studied the character of road surface with images captured by camera.The data collected by electronic police equipment and its curves showed the reliability,high efficiency and applicability of this algorithm. |
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| Keywords: | intelligent transportation system image statistics study day and night distinguishing video detecting grey level value statistic electronic police |
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