Research Of Detection Algorithm For Foreign Object Debris On Runway In Foggy Weather

With the rapid development of civil aviation transport, security risk was increased quickly. In particular, in the process of aircraft taking off and landing, aircrafts were considerably damaged by the foreign debris on the runway, and several air crashes were caused by the debris in the domestic and foreign. Therefore the key of guarantying the civil aviation transport safe operation is improving the efficient and accuracy of the debris detection system. A feasible method is urgently needed to solve the problem.In analysis and research of the existing airport runway debris detection system and the need for practical application, monitoring system based on CCD visual sensor was chosen.This paper main work is to solve the problem of debris detection algorithm under foggy weather by taking use of digital image processing technology, which including three parts:fog removal of image, extraction of airport runway area, segmentation and centroid localization of debris.First, an optimized and improved method based on dark channel priority haze removal algorithm is proposed according to the atmosphere physics scattering model. It not only estimates atmosphere accurately but also improves the computational efficiency greatly.Second, several edge detection operator are discussed and they are tested using airport runway image. The best operator for this paper is chosen after comparison of the results.Then, Hough lines detector is adopted to extract the runway area. Last, a series of mathematical morphology methods are used to segment and locate the debris according to its feature, so its pixel coordinate can be given, which can prepare for the precise location of debris in 3 dimension space.Finally, overall test was conducted for the method, testifying its feasibility.