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Robustness Analysis of License Plate Visual Positioning Method in Vehicle Collision Warning System 期刊论文
International Journal of Pattern Recognition and Artificial Intelligence, 2017, 卷号: 31, 期号: 1, 页码: 1-15
Authors:  Qin LJ(秦丽娟);  Wang T(王挺)
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Robust Analysis  Vehicle Anti-collision Warning System  Visual Location Method  License Plate Image  
Zooming image based false matches elimination algorithms for robot navigation 期刊论文
ADVANCES IN MECHANICAL ENGINEERING, 2017, 卷号: 9, 期号: 12
Authors:  Gao HW(高宏伟);  Jiang YQ(姜月秋);  Liu JG(刘金国);  Yu Y(于洋);  Ju ZJ(琚兆杰)
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Zooming Image  Scale-invariant Feature Transform  Geometry Constraint  False Matches Elimination  Robot Visual Servoing  
Infrared image enhancement based on human visual properties 会议论文
Proceedings of SPIE, AOPC 2015: OPTICAL AND OPTOELECTRONIC SENSING AND IMAGING TECHNOLOGY, Beijing, PEOPLES R CHINA, MAY 05-07, 2015
Authors:  Chen HY(陈宏宇);  Hui B(惠斌)
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Infrared Image  Image Enhancement  Bilateral Filter  Human Visual Properties  
User-curated image collections: Modeling and recommendation 会议论文
Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015, Santa Clara, CA, United states, October 29-November 1, 2015
Authors:  Li, Yuncheng;  Mei T(梅涛);  Cong Y(丛杨);  Luo JB(罗杰波)
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Image Collection  Similarity Measure  Visual Features  Sparse Representation  Metric Learning  
An Automatic Registration Algorithm of Infrared and Visible Images Based on Hybrid Image Features 会议论文
Proc. Of SPIE 9301, International Symposium on Optoelectronic Technology and Application, Beijing, China, May 13-15, 2014
Authors:  Zhang YH(张亚红);  Xia RB(夏仁波);  Wu W(武伟)
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Infrared Image  Visual Image  Hybrid Image Feature  Concentric Circle Array  
A Local Image Enhancement Method Based on Adjacent Pixel Gray Order-preserving Principle 会议论文
INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2013: INFRARED IMAGING AND APPLICATIONS, Beijing, June 25-27, 2013
Authors:  Fan XP(范晓鹏);  Cai TF(蔡铁峰);  Zhu F(朱枫)
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The Paper Is Committed In Local Image Enhancement. At First  The Authors Propose An Adjacent Pixel Gray Order-preservIng PrInciple. Adjacent Pixel Gray Order-preservIng PrInciple.Is The Basement Of Local enhAncement Method Which Ensures That There Is No dIstortion In Processed Image. And Then  The Authors Propose An Iterative Algorithm  Which Could Stretch Gray-scale Difference Of Adjacent Pixels In Premise Of Not changIng Gray Magnitude RelAtionship Between Adjacent Pixels. At Last  The Authors Propose a Totally Reference Image Quality Assessment Method Based On Adjacent Pixel Gray Order-preserving Principle. According To This Quality Assessment Method  The Authors Made a Set Of Comparative Experiments With Local Histogram Equalization And Method. Experimental Results Show That The Proposed Enhancement Method.Can Get Higher Score And Provide Better Visual Effects  Fully Demonstrating Its Effectiveness. According To This Quality Assessment Method  The Proposed Method Shows a Good Effectiveness  Through Experimental Results And Comparison With Local Histogram Equalization Method.