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

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.