标题:A Study on The Recognition of Low-Resolution Motion Visual Image
作者:Zhang, Jianchuan; Song, Huaibo; Li, Xueyong; Lu, Changhou
通讯作者:Zhang, J
作者机构:[Zhang, Jianchuan; Li, Xueyong; Lu, Changhou] Shandong Univ, Sch Mech Engn, Jinan 250061, Shandong, Peoples R China.; [Song, Huaibo] North West Agr 更多
会议名称:2nd International Conference on Advanced Engineering Materials and Technology (AEMT)
会议日期:JUL 06-08, 2012
来源:AUTOMATIC MANUFACTURING SYSTEMS II, PTS 1 AND 2
出版年:2012
卷:542-543
页码:690-694
DOI:10.4028/www.scientific.net/AMR.542-543.690
关键词:Low Resolution Image; Deep Space Objects; Correlation Coefficient; Small; Region Template Matching
摘要:Because of shortcomings of images of motion objects in deep space, including non-uniform distribution of background pixels, low SNR, general low picture quality and small size, a novel image segmentation algorithm based on the combination of image gradient and its variance is adopted. An algorithm to compute the correlation coefficient based on the small region template matching is presented. The algorithm overcomes the disadvantages of correlation disturbed frequently by noise, and size difference, besides it also reduces the computational complexity and improves the speed of the system. Experiments show that the algorithm has great accuracy, high speed, and good stability, and can meet the requirements of a real-time system.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84868340256&doi=10.4028%2fwww.scientific.net%2fAMR.542-543.690&partnerID=40&md5=8f553df7ee7582fd34d5a25a498e5811
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