| 智能交通系统中病态图象检测算法研究 |
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| 引用本文： | 王邦平,游健,张军.智能交通系统中病态图象检测算法研究[J].四川大学学报(工程科学版),2008,40(4):138-142. |
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| 作者姓名： | 王邦平 游健 张军 |
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| 作者单位： | 四川大学,计算机学院图形图象研究所,四川,成都,610064 |
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| 摘 要： | 针对智能交通系统中用于车辆信息识别的近景图象特点,提出了图象投影信息模型.根据图象提供识别信息的正确性,提出了病态图象概念.基于图象投影信息模型对智能交通系统中近景图象,提出了病态图象识别算法,并进行算法有效性验证实验,实验结果证明作者提出的病态图象检测算法的正确性和可靠性.
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| 关 键 词： | 病态图象 图象信息模型 智能交通 |
| 收稿时间： | 2007/12/28 0:00:00 |
Study on Recognition of Ill-conditioned Image in ITS |
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| WANG Bang-ping,YOU Jian,ZHANG Jun,LI Xiao-feng.Study on Recognition of Ill-conditioned Image in ITS[J].Journal of Sichuan University (Engineering Science Edition),2008,40(4):138-142. |
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| Authors: | WANG Bang-ping YOU Jian ZHANG Jun LI Xiao-feng |
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| Affiliation: | Inst. of Image and Graphics, School of Computer Sci., Sichuan Univ. , Chengdu 610064, China;Inst. of Image and Graphics, School of Computer Sci., Sichuan Univ. , Chengdu 610064, China;Inst. of Image and Graphics, School of Computer Sci., Sichuan Univ. , Chengdu 610064, China |
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| Abstract: | Image Projection Information Model, based on the features of close-shot images of ITS,was proposed. According to the validity of the information of images, the definition of ill conditioned image was given. The method of recognition of ill conditioned images were presented based on Image Projection Information Model. The experiments showed the method validation and generalization. |
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| Keywords: | ill-conditioned image image information model ITS(Intelligent Transportation Systems) |
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