the recognition and enhancement of traffic sign for the computer-generated image

ISCAS OpenIR

	the recognition and enhancement of traffic sign for the computer-generated image
	Li Yaping; Zhang Jinfang; Xu Fanjiang; Sun Xv
	2012
会议名称	4th International Conference on Digital Home, ICDH 2012
会议录名称	Proceedings - 4th International Conference on Digital Home, ICDH 2012
页码	405-410
会议日期	November 23, 2012 - November 25, 2012
会议地点	Guangzhou, China
收录类别	EI
部门归属	(1) Science and Technology on Integrated Information System Laboratory Institute of Software Chinese Academy of Sciences Graduate University of the Chinese Academy of Sciences Beijing China; (2) AutoNavi Holdings Limited (NASDAQ: AMAP) Beijing China
摘要	Image recognition in image understanding is very challenge research topic. However, the study of recognition and enhancement of the specific target for the computer generated image is very less. Compared with the natural image, this cause may be the characteristics (simple in overall) and the scene of applications (the 3D roaming, the game and so on) for the computer-generated image. For recognition and enhancement of the specific target (such as traffic sign) in the computer-generated image, the difficulty is how to accurately recognize and enhance the specific target, and maintaining other information of object do not been changed. In this paper, adopting stepwise refinement method attempts to solve the problem. The proposed method is based on three steps including image preprocessing, image recognition and enhancement. The experimental results show the method can be very good to deal with such issues. The research result shows that the image recognition and image enhancement is still not simple process. Therefore, we imagine that image recognition for complex real scene image also isn't simple issues. But the research idea of stepwise refinement which is proposed in the paper provides a methodological reference for complex image recognition. © 2012 IEEE.; Image recognition in image understanding is very challenge research topic. However, the study of recognition and enhancement of the specific target for the computer generated image is very less. Compared with the natural image, this cause may be the characteristics (simple in overall) and the scene of applications (the 3D roaming, the game and so on) for the computer-generated image. For recognition and enhancement of the specific target (such as traffic sign) in the computer-generated image, the difficulty is how to accurately recognize and enhance the specific target, and maintaining other information of object do not been changed. In this paper, adopting stepwise refinement method attempts to solve the problem. The proposed method is based on three steps including image preprocessing, image recognition and enhancement. The experimental results show the method can be very good to deal with such issues. The research result shows that the image recognition and image enhancement is still not simple process. Therefore, we imagine that image recognition for complex real scene image also isn't simple issues. But the research idea of stepwise refinement which is proposed in the paper provides a methodological reference for complex image recognition. © 2012 IEEE.
关键词	Digital Devices Image Enhancement Research Traffic Signs
主办者	State Industry Base of Digital Home; Application and Demonstration; Panyu Dist. Serv. Comm. State Ind.; Base Digit. Home Appl. Demonstr.; Research Institute of Sun Yat-sen University in Shenzhen
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15868
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Li Yaping,Zhang Jinfang,Xu Fanjiang,et al. the recognition and enhancement of traffic sign for the computer-generated image[C],2012:405-410.