Key of bulk warehouse grain quantity recognition——Rectangular benchmark image recognition
Yang Fu · Journal of Zhejiang University(Engineering Science) · 2007
According to the requests of bulk warehouse grain quantity recognition,the scene video was taken as the identified object to obtain the object's boundary from the result of edge detection difference iterative analysis.The region iterative threshold value of the gradient operator fitting closely with the identified target was used to execute the picture characteristic second-extraction,then rectangular benchmark judgment using the membership functions of fuzzy recognition was carried out,and finally this recognition algorithm was realized by adopting Visual C++.Experimental results showed that this recognition algorithm effectively enhances the anti-jamming capability,robustness,recognition precision and efficiency.This work provides a grain reserving intelligent audit method for eliminating the shortcomings in grain reserving management.