Automatic recognition of agricultural products based
on fusion semantics of regular expression
1. Information Center, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 2. School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China
Abstract: To solve the problem of low rate of automatic sorting and identification for different agriculture products on the same transmission line, according to the physical identification characteristics of object contour, color , relative distance and different vibration characteristics by different products under special application scenario, the characteristic element library of colors,lines,locations and vibration was established. According to heuristic knowledge, the match feature of agriculture products was constructed by regular expression,and the matching model of agriculture products was constructed quickly.The generation time of model was shortened in image recognition process,and the efficiency of image recognition was greatly improved.The automatic sorting and recognition rate of products for different categories with similar contour was greatly improved due to the fusion of vibration characteristics.The experiment results show that the proposed method can achieve significant improvement in target recognition rate of agriculture products,and the recognition rate is 92.5% under constant perspective with average recognition time of 50.3 ms.Compared with conventional algorithms of scale invariant feature transform(SIFT) and speeded up robust feature(SURF),the proposed method achieves significant improvement of automatic sorting and identification under constant perspective.