中国科学院机构知识库网格系统: 检索

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	An accurate and robust method for the measurement of circular holes based on binocular vision 期刊论文 OAI收割 MEASUREMENT SCIENCE AND TECHNOLOGY, 2020, 卷号: 31, 期号: 2, 页码: 1-10 作者: Xia RB(夏仁波); Su R(苏润); Zhao JB(赵吉宾); Chen YL(陈月玲); Fu SP(付生鹏) \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2019/12/14 hole measurement edge extraction ellipse fitting
	Automatic AFM Images Distortion Correction Based on Adaptive Feature Recognition Algorithm 会议论文 OAI收割 Shanghai, China, November 6-8, 2023 作者: Yang, Chengpeng; Wang, Shoujin; Hao, Chunxue; Yang Y(杨洋); Shi JL(施佳林) \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2021/03/14 AFM edge detection adaptive threshold least squares fitting horizontal distortion
	Extracting the centroid of the light spot by two-dimensional sigmoid fitting 期刊论文 OAI收割 Optical Engineering, 2018, 卷号: 57, 期号: 10, 页码: 104113（1-7）作者: Hui Zhang; Guoping Li; Yong Zhang; Shouwei Hu \| 收藏 \| 浏览/下载：125/0 \| 提交时间：2019/02/03 centroid estimation subpixel edge detection intensity profile fitting optical sensing
	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.
	A Type of Finite Element Gradient Recovery Method based on Vertex-Edge-Face Interpolation: The Recovery Technique and Superconvergence Property 期刊论文 OAI收割 EAST ASIAN JOURNAL ON APPLIED MATHEMATICS, 2011, 卷号: 1, 期号: 3, 页码: 248-263 作者: Lin, Qun; Xie, Hehu \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2018/07/30 Finite element method least-squares fitting vertex-edge-face interpolation superconvergence a posteriori error estimate
	Adaptive Wiener filtering with Gaussian fitted point spread function in image restoration (EI CONFERENCE) 会议论文 OAI收割 2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011, July 15, 2011 - July 17, 2011, Beijing, China 作者: Yang L.; Zhang X.; Zhang X.; Zhang X.; Yang L. 收藏 \| 浏览/下载：41/0 \| 提交时间：2013/03/25 In the imaging process of the space remote sensing camera there was degradation phenomenon in the acquired images. In order to reduce the image blur caused by the degradation the remote sensing images were restored to give prominence to the characteristic objects in the images. First the frequency-domain notch filter was adopted to remove strip noises in the images. Then using the ground characters with the knife-edge shape in the images the point spread function of the imaging system was estimated. In order to improve the accuracy the estimated point spread function was corrected with Gaussian fitting method. Finally the images were restored using the adaptive Wiener filtering with the fitted point spread function. Experimental results of the real remote sensing images showed that almost all strip noises in the images were eliminated. After the denoised images were restored its variance and its gray mean gradient increased also its laplacian gradient increased. Restoration with Gaussian fitted point spread function is beneficial to interpreting and analyzing the remote sensing images. After restoration the blur phenomenon of the images is reduced. The characters are highlighted and the visual effect of the images is clearer. 2011 IEEE.
	Remote sensing image restoration using estimated point spread function (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Information, Networking and Automation, ICINA 2010, October 17, 2010 - October 19, 2010, Kunming, China 作者: Yang L.; Yang L. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 In order to reduce image blur caused by the degradation phenomenon in the imaging process the acquired images of the space remote sensing camera are restored. First the frequency-domain notch filter is adopted to remove strip noises in the images. Then degradation function which is referred to as the point spread function (PSF) of the imaging system is estimated using the knife-edge method. To improve the accuracy of the estimation the estimated PSF is adjusted with Gaussian fitting. Finally the images are restored by Wiener filtering with the fitted PSF. The restoration results of the remote sensing images show that almost all strip noises are eliminated by the notch filter. After denoising and restoration the variance of the remote sensing image worked with in this paper increases 30.979 and the gray mean gradient increases 3.312. Due to Gaussian fitting the accuracy of the PSF estimation is heightened. Image restoration with the final PSF is benefit to interpreting and analyzing the remote sensing images. After restoration the contrasts of the restored images are increased and the visual effects become clearer. 2010 IEEE.
	Toward Accurate and Fast Iris Segmentation for Iris Biometrics 期刊论文 OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2009, 卷号: 31, 期号: 9, 页码: 1670-1684 作者: He, Zhaofeng; Tan, Tieniu; Sun, Zhenan; Qiu, Xianchao 收藏 \| 浏览/下载：33/0 \| 提交时间：2015/08/12 Biometrics iris segmentation reflection removal eyelid localization eyelash and shadow detection edge fitting