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摘要:
Vehicle detection has been the critical part of the traffic surveillance system for many years. However, vehicle detection method is still challenging. In this paper, differential morphology closing profile is used to extract the vehicle automatically from the traffic image. Along with closing profile, some addition operation has been applied as a part of the algorithm to get the high detection and quality rate. Result demonstrated that the novel method has an excellent detection and quality percentage. We also have compared our automated detection method with other traditional image processing based methods and the results indicate that our proposed method provides better results than traditional image processing based methods.
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篇名 The Automated Vehicle Detection of Highway Traffic Images by Differential Morphological Profile
来源期刊 交通科技期刊(英文) 学科 医学
关键词 AVERAGE Filter DIFFERENTIAL Morphology CLOSING PROFILE Structure Element THRESHOLDING Vehicle Detection
年,卷(期) 2014,(2) 所属期刊栏目
研究方向 页码范围 150-156
页数 7页 分类号 R73
字数 语种
DOI
五维指标
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研究主题发展历程
节点文献
AVERAGE
Filter
DIFFERENTIAL
Morphology
CLOSING
PROFILE
Structure
Element
THRESHOLDING
Vehicle
Detection
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
交通科技期刊(英文)
季刊
2160-0473
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
254
总下载数(次)
0
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0
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