中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共3条，第1-3条

帮助

条数/页：排序方式：
	Automatic chessboard corner detection method 期刊论文 OAI收割 IET IMAGE PROCESSING, 2016, 卷号: 10, 期号: 1, 页码: 16-23 作者: Liu, Yu; Liu, Shuping; Cao, Yang; Wang, Zengfu 收藏 \| 浏览/下载：22/0 \| 提交时间：2018/01/25 Cameras Calibration Edge Detection Statistical Analysis Automatic Chessboard Corner Detection Method Chessboard Pattern-based Camera Calibration Technique Hessian Corner Detector Fake Corner Elimination Sub-pixel Location Statistical Approach Computational Efficiency
	A sub-pixel extraction method for the center of the circular structure from spot array calibration target (EI CONFERENCE) 会议论文 OAI收割 2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012, September 8, 2012 - September 9, 2012, Qingdao, China 作者: Liu Y.; Zhang T.; Yang H.; Gao X.; Liu Y. 收藏 \| 浏览/下载：75/0 \| 提交时间：2013/03/25 The imaging measurement system must be calibrated before application. In calibration procedure sub-pixel center extraction is the crucial step for the final accuracy. In this paper a new sub-pixel extraction method is proposed. Edge detection at pixel level is obtained using LOG operator then sub-pixel edge detection is realized using the Facet model. Finally the least squares ellipse fitting is operated on the sub-pixel edge to determine the sub-pixel center. Experiment on a series of simulated images indicates that this algorithm is able to realize the center location accuracy of 0.01-0.02 pixel and meets the requirement of sub-pixel level. (2012) Trans Tech Publications Switzerland.
	Precise motion compensation based on weighted sub-pixel image matching (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China Liang H. G. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 This paper proposed a sub-pixel image correlation algorithm that can get more Precise result its principle is apply the distribute of relativity peak to get weighted multi-pixel comprehensive of location. Image correlation be as to calculates the greyscale relativity of image template and matching image the relativity of correspond location where match best with template will be most high and in its neighbour range the relativity will be still keep high too. We used these pixel in this local area of calculated match point to get sub-pixel accuracy the relativity of every pixel be used as its weight for participate the sub-pixel calculation. The sub-pixel location is more accuracy than the integer one we applied this method to perform background compensation in processing the target detecting for video image sequence. At the end of this paper some experiment data be proposed it proved this sub-pixel image correlation can obtain better result. 2011 SPIE.