the recognition and enhancement of traffic sign for the computer-generated image
文献类型：会议论文
| 作者 | Li Yaping ; Zhang Jinfang ; Xu Fanjiang ; Sun Xv |
| 出版日期 | 2012 |
| 会议名称 | 4th International Conference on Digital Home, ICDH 2012 |
| 会议日期 | November 23, 2012 - November 25, 2012 |
| 会议地点 | Guangzhou, China |
| 关键词 | Digital devices Image enhancement Research Traffic signs |
| 页码 | 405-410 |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 会议主办者 | 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 |
| 会议录 | Proceedings - 4th International Conference on Digital Home, ICDH 2012
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| 语种 | 英语 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15868]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 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]. 见:4th International Conference on Digital Home, ICDH 2012. Guangzhou, China. November 23, 2012 - November 25, 2012. |
入库方式： OAI收割
来源：软件研究所
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