Novel SGH Recognition Algorithm Based Robot Binocular Vision System for Sorting Process

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 ( 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.