Nuclear power station surface defect panoramic image detection method
A technology of panoramic images and detection methods, applied in image analysis, image data processing, instruments, etc., can solve the problems of misjudgment detection, environmental complexity, failure, etc., to reduce false detection, improve detection images, and ensure reliability and reliability. The effect of precision
Active Publication Date: 2020-02-18
CGNPC INSPECTION TECH +3
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[0002] In the video detection of nuclear power plants for nuclear power operation research, relying on a single frame method to analyze defects is highly subjective on the one hand; on the other hand, it is very difficult to locate and measure defects; Reduce the ability to identify defects, resulting in misjudgment and detection failure
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[0026] Below the present invention is described in detail as follows: a kind of nuclear power plant surface defect panorama image detection method, it comprises the following steps:
[0027] A. Establish a geometric mapping of the image and the scene on the surface of the nuclear power plant
[0028] The points in the scene are mapped into pixels on the image through the imaging system of the camera’s optical imaging system. Based on the camera imaging model, the spatial relationship between the camera and the detected object in video detection, combined with inspection parameters and camera parameters, the relationship between the image and the scene is established. Geometric mapping relationship;
[0029] Suppose two points P in the scene 1 (x 1 ,y 1 ,z 1 ) and P 2 (x 2 ,y 2 ,z 2 ), respectively mapped to I in the image 1 (x' 1 ,y′ 1 , f′) and I 2 (x' 2 ,y′ 2 , f′), then it can be drawn:
[0030]
[0031] In the formula, f', z 0 The distance between the sc...
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The invention discloses a nuclear power station surface defect panoramic image detection method, which comprises the following steps of: A, establishing a geometric mapping field of an image and a scene on the surface of a nuclear power station; b, image splicing is carried out according to a geometric mapping relation between image scenes and then according to inspection parameters and camera parameters, a pixel change rule between video frames is obtained through calculation; extracting pixels of the video frames based on the pixel parameter values and the pixel change rule between the videoframes; and finally, combining the pixels extracted in the previous step to generate a complete spliced image. C, image enhancement optimization. According to the panoramic image detection system designed by the invention, the algorithm is simple and easy to implement, and accurate pixel parameters are obtained through a geometric mapping relationship, so that the pixel information of the video can be retained without distortion, and an accurate splicing result is obtained; the image enhancement processing method can improve the detection image, is helpful for reducing the risks of false detection and missing detection, and ensures the reliability and precision of defect analysis.
Description
technical field [0001] The invention relates to the field of nuclear power detection, in particular to a panoramic image detection method for nuclear power plant surface defects. Background technique [0002] In the video detection of nuclear power plants for nuclear power operation research, relying on a single frame method to analyze defects is highly subjective on the one hand; on the other hand, it is very difficult to locate and measure defects; The ability to identify defects is reduced, resulting in misjudgment and detection failure. Contents of the invention [0003] The purpose of the present invention is to provide a panoramic image detection method for nuclear power plant surface defects that can improve the effectiveness and reliability of video detection and reduce the risk of false detection and missed detection. [0004] In order to solve the above technical problems, the present invention adopts the following technical solutions: a panoramic image detectio...
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IPC IPC(8): G06T7/00
CPCG06T7/0004
Inventor 黄三傲严志刚孙加伟余哲康志平
Owner CGNPC INSPECTION TECH