Image detection method for detecting foreign body in airport runway

Abstract

The present invention discloses an image detection method for detecting a foreign body in an airport runway. The method comprises: manually inspecting an airport runway, and after determining no foreign body, acquiring a frame of background image of the airport runway by using a sensor; acquiring a current image of the airport runway in real time by using the sensor; by means of a feature matching algorithm, performing registration on the current image and the background image; performing a differential operation on the current image and the background image, to obtain a background difference image of the current image; performing automatic threshold binarization on the background difference image of the current image, to obtain a binarized graph of the current image; performing non-linear filtration and morphological processing on the binarized graph of the current image, to facilitate detection of a target; and identifying the target by using an edge detection or convex hull detection algorithm, and if the target is detected, sending out an alarm to end a process, and if the target is not detected, updating the current image into a next frame of background image for image detection. The method provided by the present invention is capable of accurately detecting the foreign body and achieves a relatively low calculation amount.

Description

technical field [0001] The invention relates to the field of foreign object detection on runways of civil aviation airports. In particular, it relates to a target detection method for foreign object detection on airport runways. Background technique [0002] Foreign objects on airport runways mainly refer to foreign objects that may pose a threat to the safety of aircraft on the ground, such as stones, metal devices, tapes, plastic products, paper leaves, etc. With the continuous development of civil aviation and the continuous increase of passenger flow, accidents caused by foreign objects on airport runways are also increasing at home and abroad, which has aroused widespread concern. [0003] At present, the technologies used for foreign object detection in airports mainly include optical video detection technology and radar detection technology. Image contrast analysis to determine the location of the FOD. The main technical means used in radar detection technology is ...

AI Technical Summary

Problems solved by technology

The inter-frame difference method is not sensitive to slow changes in light and background, and has strong adaptability to dynamic environments. However, in the detection results, the image of the target is prone to elongation or hollowness, which makes it difficult to extract the target.

The optical flow method uses the corresponding brightness changes of the moving target on the image to identify the target, which can realize the detection of the moving target very well, but this method has a large amount of calculation, and it is difficult to maintain the real-time and practicality of the recognition

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