Based on multi-directional multi-scale weighted morphology FOD images enhance algorithm

The existence of the airport runway foreign object debris (FOD) threats airport security, in order to reduce the influence of economic and person´s security is caused by the FOD, and FOD debris monitoring is very important. A new FOD de-noising method is proposed based on multi-directional multi-scale weighted morphology in this paper. Experimental results prove that the proposed method can eliminate FOD noise and fast operation. And it can keep the detail of the images. Subsequent FOD images detection and recognition is very good.