Rivet contour point cloud extraction method

An extraction method and contour point technology, applied in image data processing, instruments, calculations, etc., can solve problems such as low detection efficiency, difficulty in manual detection methods adapting to development needs, and difficulty in finding deformation of rivets, so as to improve speed and reliability. Effect

Active Publication Date: 2020-10-30
南京耘瞳科技有限公司
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Problems solved by technology

As an important index to measure riveting quality, rivet flushness is widely used in riveting quality inspection, and to detect rivet flushness, it is first necessary to obtain rivet profile information. In the field, a large number of manual detection methods are still use

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  • Rivet contour point cloud extraction method
  • Rivet contour point cloud extraction method
  • Rivet contour point cloud extraction method

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[0039] Now combined with Figure 1-2 The present invention will be described in further detail.

[0040] It should be noted that the terms "upper", "lower", "left", "right", "front", "rear", etc., cited in the invention are only for clarity of description, not for Limiting the scope of implementation of the present invention, and the change or adjustment of the relative relationship, without substantially changing the technical content, shall also be regarded as the scope of implementation of the present invention.

[0041] Such as figure 1 As shown, in one of the embodiments of the present invention, a rivet contour point cloud extraction method includes the following steps:

[0042] Collect the 3D scanning point cloud on the surface of the aircraft skin to obtain the 3D point cloud neighborhood information;

[0043] According to the neighborhood information of the 3D point cloud, the initial local density of each point cloud is calculated;

[0044] The point cloud density after adap...

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Abstract

The invention discloses a rivet contour point cloud extraction method, which comprises the following steps of collecting a three-dimensional scanning point cloud on the surface of an aircraft skin toobtain three-dimensional point cloud neighborhood information; according to the three-dimensional point cloud neighborhood information, calculating and obtaining the initial local density of each point cloud; performing calculating according to the initial local density to obtain adaptively enhanced point cloud density, and defining a significance measurement method of the circle model according to the adaptively enhanced point cloud density; and automatically extracting the rivet contour point cloud through an RANSAC algorithm according to a saliency measurement method of the circle model. According to the method, the three-dimensional information of the rivet can be rapidly and accurately obtained, the rivet alignment degree and the riveting quality can be accurately detected based on the extracted rivet contour point cloud three-dimensional information, and the rivet detection speed and reliability are greatly improved.

Description

technical field [0001] The invention belongs to the technical field of aircraft rivet detection, and in particular relates to a method for extracting point clouds of rivet contours. Background technique [0002] In the process of aircraft manufacturing, rivets are widely used in aircraft assembly and connection because they are not easy to fall off and easy to disassemble. Among them, most of the rivets are used in the connection between the aircraft skin surface and the internal frame structure. During the riveting process of aircraft transfer and the flight process of the aircraft, the link parts of the rivet structure will be deformed, which will affect the surface quality of the aircraft shape. Therefore, the riveting quality of the rivets on the skin surface plays a vital role in the assembly accuracy and the aerodynamic shape of the aircraft. [0003] The detection of riveting quality has always been a difficult problem. As an important index to measure riveting qua...

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/13
CPCG06T7/0004G06T2207/10028G06T2207/30164G06T7/11G06T7/13
Inventor 汪俊谢乾
Owner 南京耘瞳科技有限公司
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