Device and method for detecting defects in gun inner bore based on active panoramic vision
An active panorama and detection device technology, applied in measurement devices, image data processing, material analysis through optical means, etc., can solve problems such as low level of automation and intelligence, and difficulty in 3D modeling of artillery bores
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Embodiment 1
[0092] refer to Figure 1-14 , a device for detecting defects in a gun bore based on active panoramic vision, comprising a crawling mechanism 101, a power transmission mechanism 102, a visual inspection device 103 and a gun bore detection and analysis system.
[0093] The crawling mechanism 101 is driven by the power transmission mechanism 102, and the crawling mechanism 101 carries the visual inspection device 103 to crawl in the inner bore of the artillery. The visual inspection device 103 collects video images of the inner bore of the artillery during the crawling process, and the collected video images pass through the wireless communication unit. Send it to the artillery bore detection and analysis system, where automatic defect detection and three-dimensional reconstruction of the artillery bore are performed, and finally the detection results and the three-dimensional reconstruction of the artillery bore are displayed on the display device.
[0094] The crawling mechani...
Embodiment 2
[0197] All the other are identical with embodiment 1, difference is to calculate rotation matrix R and T method from essential matrix E; This method is: at first, utilize the attribute of essential matrix E rank 2 to find out the translation amount t between crawler before and after moving, as Shown in formula (18);
[0198]
[0199] In the formula, e ij is the element of the essential matrix E, Me ij for e ij The algebraic remainder of ;
[0200] Then obtain the satisfaction constraint||t|| 2 = 1 two translations t 1 = 1, t 2 =-1, where,
[0201]
[0202] Then, use the method of solving the rotation matrix equations to find the rotation matrix R between the crawler before and after moving;
[0203] Substitute formula (19) into formula (15) to calculate the rotation matrix R, and obtain four groups of decomposition results; finally, use the method of directly calculating the spatial 3D point imaging depth to quickly determine from the four groups of decomposition ...
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