A robust feature-based registration method of multimodal image using phase congruency and coherent point drift

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 光电信息技术研究室

	A robust feature-based registration method of multimodal image using phase congruency and coherent point drift
	Xia RB(夏仁波); Zhao JB(赵吉斌); Liu YP(刘云鹏)
	2013
会议名称	International Symposium on Multispectral Image Processing and Pattern Recogniton(MIPPR'2013)
会议日期	October 26-27,2013
会议地点	Wuhan, China
关键词	Multimodal registration feature matching phase coherence coherent point drift
页码	8 pp.
中文摘要	This paper presents a new feature matching algorithm for nonrigid multimodal image registration. The proposed algorithm first constructs phase congruency representations (PCR) of images to be registered. Then scale invariant feature transform (SIFT) method is applied to capture significant feature points from PCR. Subsequently, the putative matching is obtained by the nearest neighbour matching in the SIFT descriptor space. The SIFT descriptor is then integrated into Coherent Point Drift (CPD) method so that the appropriate matching of two point sets is solved by combining appearance with distance properties between putative match candidates. Finally, the transformation estimated by matching the point sets is applied to registration of original images. The results show that the proposed algorithm increases the correct rate of matching and is well suited for multi-modal image registration.© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	Proceedings of the SPIE
会议录出版者	SPIE-INT SOC OPTICAL ENGINEERING
会议录出版地	BELLINGHAM
语种	英语
ISSN号	0277-786X
WOS记录号	WOS:000327427100003
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/13846]
专题	沈阳自动化研究所_光电信息技术研究室
推荐引用方式 GB/T 7714	Xia RB,Zhao JB,Liu YP. A robust feature-based registration method of multimodal image using phase congruency and coherent point drift[C]. 见:International Symposium on Multispectral Image Processing and Pattern Recogniton(MIPPR'2013). Wuhan, China. October 26-27,2013.