The Key of Bulk Warehouse Grain Quantity Recognition
Ying Lin, Yang Fu · 2008
According to requests of bulk warehouse grain quantity recognition, we take the scene video as identified object to obtain the object’s boundary from the result of edge detection difference iterative analysis. By using region iterative threshold value of gradient operator fitted closely with identified target carries to execute the picture characteristic second-extract and then to carrying on rectangular benchmark judgment using the membership functions of fuzzy recognition, we adopt the Visual C++ realized this recognition algorithm. And the experimental results show that this recognition algorithm effectively enhances the anti-jamming, robustness and the recognition precision and effect.