Study on Recognition of Ill-conditioned Image in ITS

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Study on Recognition of Ill-conditioned Image in ITS

更新时间：2023-11-28

- Study on Recognition of Ill-conditioned Image in ITS
- Advanced Engineering Sciences Vol. 40, Issue 4, Pages: 138-142(2008)
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- Published：2008，
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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].工程科学与技术,2008,40(4):138-142.

Study on Recognition of Ill-conditioned Image in ITS. [J]. Advanced Engineering Sciences 40(4):138-142(2008)
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].工程科学与技术,2008,40(4):138-142. DOI：

Study on Recognition of Ill-conditioned Image in ITS. [J]. Advanced Engineering Sciences 40(4):138-142(2008) DOI：

摘要

中文摘要: 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。

Abstract

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.

关键词

病态图象图象信息模型智能交通

Keywords

ill-conditioned imageimage information modelITS(Intelligent Transportation Systems)

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四川大学计算机学院图形图象研究所四川

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