ATR of airport objects in infrared images with complex backgrounds

An ATR algorithm of airport objects in infrared images with complex backgrounds is proposed based on knowledge according to its special characteristics.The design of this ATR algorithm is practicality oriented, reducing the time cost without sacrificing the performance of the algorithm. The amount of processing is reduced by extracting the region of interest, and by using Otsu with double thresholds the thresholds are decided quickly. Quick labeling algorithm is used to label the segmented image, and Freeman chain code algorithm is used to describe the profile of the airport. Features of the airport are analyzed by using Fuzzy integrated judgement method. Via testing on hardware platforms, the algorithm proposed is proved to be capable in detecting airport objects in infrared images, with a high real-time performance.