Novel SGH Recognition Algorithm Based Robot Binocular Vision System for Sorting Process
Joint Authors
Xiaoyang, Yu
Liu, Shuang
Pang, Ming
Zhang, Jixun
Yu, Shuchun
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-15
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
To achieve automatic sorting on commodity trademarks, a binocular vision system has been constructed in this paper.
By adjusting camera pose, this system can obtain greater shooting perspective.
In order to improve sorting accuracy, a now SGH recognition method is proposed.
SGH consists of spatial color histogram (S feature), gray level cooccurrence matrix (G feature), and Hu moments (H) feature, which represent color feature, texture feature, and shaper feature, respectively.
Similarity judgment function is built by using SGH.
The experimental results show that SGH algorithm has a higher visual accuracy compared to single feature based recognition method.
American Psychological Association (APA)
Xiaoyang, Yu& Liu, Shuang& Pang, Ming& Zhang, Jixun& Yu, Shuchun. 2015. Novel SGH Recognition Algorithm Based Robot Binocular Vision System for Sorting Process. Journal of Sensors،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1110510
Modern Language Association (MLA)
Xiaoyang, Yu…[et al.]. Novel SGH Recognition Algorithm Based Robot Binocular Vision System for Sorting Process. Journal of Sensors No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1110510
American Medical Association (AMA)
Xiaoyang, Yu& Liu, Shuang& Pang, Ming& Zhang, Jixun& Yu, Shuchun. Novel SGH Recognition Algorithm Based Robot Binocular Vision System for Sorting Process. Journal of Sensors. 2015. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1110510
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110510