Salient traffic sign detection based on multiscale hypercomplex fourier transform

doi:10.1109/CISP.2011.6100597

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	Salient traffic sign detection based on multiscale hypercomplex fourier transform
	Li, Ce 1,2; Hu, Yaling 2
	2011
会议日期	October 15, 2011 - October 17, 2011
会议地点	Shanghai, China
关键词	Fourier transforms Image segmentation Traffic signals Visualization Hypercomplex Fourier transforms Interactive image segmentation Multiscale Quaternion fourier transform(QFT) State-of-the-art methods Traffic sign detection Visual saliency Visual saliency detections
卷号	4
DOI	10.1109/CISP.2011.6100597
页码	1963-1966
英文摘要	The paper proposes a new approach to detect salient traffic signs, which is based on visual saliency and auto-generated strokes for image segmentation. The proposed algorithm deals with two tasks on detecting traffic signs: auto-location and auto-extraction. Firstly, inspired by recent work of visual saliency detection, we obtain the location of traffic signs in a natural image by multi-scale phase spectrum of quaternion Fourier transformation (MSPQFT). Secondly, in order to extract traffic signs, auto-generated strokes are used instead of drawing the strokes by the users, the sign board area is extracted using automatic interactive image segmentation. Extensive experiments on public datasets show that our approach outperforms state-of-the-art methods remarkably in salient traffic sign detection. Moreover, the proposed detection method has higher accurate rate and robustness to different natural scenes. © 2011 IEEE.
会议录	Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116743]
专题	兰州理工大学
作者单位	1.Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China 2.College of Electrical and Information Engineering, Lanzhou Univ. of Tech., Lanzhou, China;
推荐引用方式 GB/T 7714	Li, Ce,Hu, Yaling. Salient traffic sign detection based on multiscale hypercomplex fourier transform[C]. 见:. Shanghai, China. October 15, 2011 - October 17, 2011.