标题:Target recognition in different color spaces
作者:Ding, Chao ;Gu, Jason ;Ma, Xin ;Gao, Faqin ;Li, Yibin
通讯作者:Gu, J
作者机构:[Ding, Chao ;Gu, Jason ;Ma, Xin ;Gao, Faqin ;Li, Yibin ] School of Control Science and Engineering, Shandong University, Jinan, Shandong Province, Chi 更多
会议名称:2013 IEEE International Conference on Information and Automation, ICIA 2013
会议日期:26 August 2013 through 28 August 2013
来源:2013 IEEE International Conference on Information and Automation, ICIA 2013
出版年:2013
页码:151-155
DOI:10.1109/ICInfA.2013.6720287
关键词:CIE-XYZ; DSP; HSV; RGB; target detection
摘要:Color-based recognition method is very simple for programming and has been deeply studied, but most of the previous works are based on computers. This paper studies the issue of target recognition based on monocular vision using the TI's (Texas Instruments) ICETEK-DM642-BR (an evaluation board). The algorithms for target recognition are based on three different color spaces. Images and videos to be processed have a large amount of data. Therefore, the complicated algorithms are required to ensure the accuracy of recognition. DSPs have limited computation power and can't satisfy the real-time requirements. Thus, it is critical to find an optimal algorithm to keep balance between accuracy and real-time requirements. Experimental studies in RGB, HSV and CIE-XYZ color spaces have been carried out. Comparison study of the characteristics and effects of the algorithms in these three different color spaces has been included. © 2013 IEEE.
收录类别: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-s2.0-84894188894&doi=10.1109%2fICInfA.2013.6720287&partnerID=40&md5=e2601e09474d8dbf730ac6b87c47efb7
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