A novel grid intersection point detection and matching method in the binocular pulse measurement system

doi:10.21307/ijssis-2017-869

	A novel grid intersection point detection and matching method in the binocular pulse measurement system
	Yang, L.M.2,3; Zhang, A.H.2,3; Lin, D.M.2,3; Zhu, L.1
刊名	International Journal on Smart Sensing and Intelligent Systems
	2016-03-01
卷号	9 期号:1 页码:256-273
关键词	Binoculars Cluster analysis Feature extraction Image enhancement Image segmentation Object detection 3D image reconstruction Canny edge detectors Detection performance Global feature Grid image Intersection points Pulse measurement system Ridge lines
ISSN号	1178-5608
DOI	10.21307/ijssis-2017-869
英文摘要	To improve the accuracy of binocular 3D image reconstruction, the grid-pattern structure lines are printed on the detected objects and the grid lines intersection points are adopted as feature points and primitives in matching process. In this paper, a novel method for detecting the intersection points of the grid lines based on image segmentation and ridge line fitting is proposed. Firstly, the set of line segments on the border of the grid lines are extracted using the Canny edge detector and Hough transformation. Then, the global structure parameters are acquired through cluster analysis. Secondly, the grayscale image is divided into several detection regions (each of which includes one intersection point to be detected) in accordance to the obtained global structure parameters and the intersection points in the detection regions are accurately located using the ridge line fitting method. Finally, the intersection points in the left and right images are matched based on their distributions. To examine the detection performance of the proposed method, experiments have been conducted on actual and polluted images, respectively. The experimental results have demonstrated that the recognition ratio of the intersection points by the proposed ridge line fitting-based method is as high as 100%, the false positive ratio is 0 and the matching accuracy is up to 100%. Compared with the results obtained using traditional methods, the proposed method detection results are characterized by high accuracy, stability, uniqueness and invariability. Hence, the proposed method can meet the demands of 3D image reconstruction.
WOS研究方向	Engineering
语种	英语
出版者	Massey University
WOS记录号	WOS:000369651700014
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/112548]
专题	电气工程与信息工程学院材料科学与工程学院
作者单位	1.College of Materials Science and Engineering, Lanzhou University of Technology, Lanzhou; 730050, China 2.Key Laboratory of Gansu Advanced Control for Industrial Processes of Gansu Province, Lanzhou University of Technology, Lanzhou; 730050, China; 3.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China;
推荐引用方式 GB/T 7714	Yang, L.M.,Zhang, A.H.,Lin, D.M.,et al. A novel grid intersection point detection and matching method in the binocular pulse measurement system[J]. International Journal on Smart Sensing and Intelligent Systems,2016,9(1):256-273.
APA	Yang, L.M.,Zhang, A.H.,Lin, D.M.,&Zhu, L..(2016).A novel grid intersection point detection and matching method in the binocular pulse measurement system.International Journal on Smart Sensing and Intelligent Systems,9(1),256-273.
MLA	Yang, L.M.,et al."A novel grid intersection point detection and matching method in the binocular pulse measurement system".International Journal on Smart Sensing and Intelligent Systems 9.1(2016):256-273.