Image-based railway contact net bird-nest abnormal condition detection method

Abstract

The invention discloses an image-based railway contact net bird-nest abnormal condition detection method. According to the invention, an abnormal condition that there exists a bird nest in a railway contact net patrol image is automatically identified by a digital image processing method. The method provided by the invention comprises the following main steps: 1) image binaryzation of the railway contact net; 2) extraction of pillar main parts and fine lines of the contact net; 3) bird nest suspicious area location based on suspension point detection; 4) feature extraction of linear direction histogram and length histogram of a bird nest suspicious area; and 5) bird nest identification based on linear direction and length distribution characteristics. By the method provided by the invention, bird nest abnormal condition detection and identification of the railway contact net are carried out efficiently and automatically. The method has great safety significance as well as practical application value, is suitable for automatic inspection of high-speed rail and common railway contact nets, can effectively help an inspector rapidly find whether there exists a bird nest on a support of a contact net and troubleshoot potential safety hazard, is adopted to raise work efficiency of inspectors and avoid huge manpower consumption caused by manual interpretation.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to an image-based method for locating and identifying abnormalities of bird nests in railway catenary. technical background [0002] The railway catenary is a special line erected for the power supply of trains. As of the end of December 2010, the mileage of high-speed railways operating at a speed of more than 200 kilometers per hour in China has reached 8,358 kilometers, and the mileage of high-speed passenger dedicated lines and intercity railways under construction and soon to be constructed has reached 17,000 kilometers. According to China's medium and long-term railway network planning plan, by 2012, China will have built 42 high-speed passenger dedicated lines, and basically completed a national rapid passenger transport network with "four vertical and four horizontal" as the skeleton, with a total mileage of 13,000 kilometers; by 2020, China will The mileage of hi...

AI Technical Summary

Problems solved by technology

In order to effectively detect various potential safety hazards of the catenary, the inspection equipment needs to record a large amount of video data. However, in the face of massive inspection video data, if only relying on manual interpretation, the workload is heavy, the efficiency is low, and the reliability is difficult to guarantee.

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