Image Fusion Algorithm in Intelligent Transport System
Intelligent Transport System (ITS) plays a major role in resolving the traffic congestion problem.Successful implementation of the ITS depends upon complete and accurate information.The image fusion algorithm discussed in this paper which utilizes wavelet decomposition and fuzzy reasoning combines two kinds of images from different types of imaging sensors (infrared camera and visible light camera) into a single composite image.It first decomposed source images through wavelet transform,computed the extent of each source images contribution through fuzzy reasoning using the area feature of source images wavelet coefficients,and then fused the coefficients through weighted averaging with the extents of each source images contributions as the weight coefficients.This final composite image may have more complete information content or better perceptual quality than any one of the source images.Experimental results indicate that application of this algorithm enhances performance of ITS.
image fusion wavelet transform fuzzy reasoning Intelligent Transport System
Xuewen Ding Guangquan Xu Zengmin Wang JiapengWu
Tianjin Engineering Center for Fieldbus Control Technology Tianjin University of Technology and Educ School of Computer Science and Technology Tianjin University Tianjin,PR of China
国际会议
太原
英文
257-261
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）