Recognition algorithm of FOD based on the depth feature and Adaboost
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A recognition algorithm based on the depth feature and Adaboost is presented to distinguish FOD(foreign object damage)from airport runway depth images. Firstly, the target region of the image including FOD is picked up by the watershed segmentation method. Secondly, different kinds of depth features are extracted from the target region, the depth features,Histogram mean and Histogram variance. At last, Adaboost classifier is used to distinguish FOD automatically. Experimental results indicate that the proposed method can obviously improve the accuracy of FOD's recognition.