Affiliation:
1. School of Measurement-Control Tech & Communications Engineering, Harbin University of Science and Technology, Harbin 150080, China
2. College of Automation, Harbin Engineering University, Harbin 150001, China
Abstract
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 (Sfeature), gray level cooccurrence matrix (Gfeature), 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.
Funder
Heilongjiang Province Ordinary College Training Program for New Century Excellent Talents
Subject
Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering
Cited by
11 articles.
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