标题:Detecting Algorithm for Object Based-Double Haar Transform
作者:Liu, Yingxia; Chang, Faliang
通讯作者:Liu, Y
作者机构:[Liu, Yingxia; Chang, Faliang] Shandong Univ, Sch Control Sci & Engn, Jinan 250100, Peoples R China.
会议名称:International Workshop on Computer Science for Environmental Engineering and EcoInformatics (CSEEE)
会议日期:JUL 29-31, 2011
来源:COMPUTER SCIENCE FOR ENVIRONMENTAL ENGINEERING AND ECOINFORMATICS, PT 2
出版年:2011
卷:159
期:PART 2
页码:442-446
DOI:10.1007/978-3-642-22691-5_77
关键词:Object detecting; Double Haar transform; De-noising; Dynamic threshold
摘要:According to the feature of double Haar transform, a new moving object detecting algorithm is proposed. Firstly, the gray difference image is pre-processed based on double Haar transform in order to realize de-noising. Secondly. make use of the characteristic of wavelet domain energy, an optimal dynamic threshold is obtained, and the gray difference image is judged by the threshold, so, a binary image only with object is got. The experimental result is showed that this method can conquer the contradiction between background noise and integrity of object and it can get better object detecting result.
收录类别:CPCI-S;EI;SCOPUS
WOS核心被引频次:1
Scopus被引频次:1
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-s2.0-84055192567&doi=10.1007%2f978-3-642-22691-5_77&partnerID=40&md5=1ab41239fc2cc0a8f9c9f80f40ca8ad9
TOP