Outdoor facility inspection method

Abstract

The invention discloses an outdoor facility inspection method. According to the outdoor facility inspection method, a color image is read, and the image is converted into a grey-scale image; line segments in the image are calculated by employing probability Hof transform, and the line segments with length exceeding a set threshold are selected; the K near neighbor clustering algorithm is utilized, and the clustering result is traversed till clustered line segments can form a profile structure of equipment; a detection-needing area is selected; and a localized binary image in the area is calculated; a white connected component of the binary image is simplified through a binary image refinement algorithm to form a curve line segment; the binary image containing the curve line segments is traversed, points at end points of the curve line segments are extracted, and the points are marked at end point queues; the end point queues are classified and processed by utilizing a gradient histogram and a support vector machine, and an inspection result is acquired. The method can adapt to a real illumination situation and further has advantages of high detection accuracy, faster processing speed, high stability and relatively high noise resistance performance and inclination resistance performance.

Description

technical field [0001] The invention relates to a video image processing method, in particular to an outdoor facility inspection method based on video image processing. Background technique [0002] In our industrial system, it is inevitable to place some equipment in the outdoor environment. Due to the complexity of the outdoor environment, the possibility of the equipment being invaded by foreign objects is much higher than that of the equipment in the indoor environment; how to efficiently conduct non-artificial object infringement on the surface of the equipment Detection and inspection are related to the normal operation of the equipment; at present, manual inspection can only be carried out one by one. If the amount of equipment is small, this method is feasible. If the number of equipment is very large, manual inspection is time-consuming, laborious and inefficient; currently Research on the use of sensor technology for monitoring and investigation has been gradually ...

AI Technical Summary

Problems solved by technology

[0002] In our industrial system, it is inevitable to place some equipment in the outdoor environment. Due to the complexity of the outdoor environment, the possibility of the equipment being invaded by foreign objects is much higher than that of the equipment in the indoor environment; how to effectively conduct non-artificial object infringement on the surface of the equipment Detection and inspection are related to the normal operation of the equipment; at present, manual inspection can only be carried out one by one. If the amount of equipment is small, this method is feasible. If the number of equipment is very large, manual inspection is time-consuming, laborious and inefficient; currently Research on the use of sensor technology for monitoring and investigation is gradually being carried out, but this method is too expensive

Images