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| Dual Contour Edge Information Fusion for 3D Aircraft Skin Circular Hole Detection |
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| Abstract: |
| To address the challenges of varied aircraft skin hole detection types and susceptibility to noise, this paper proposes a method based on the perspective of dual contour edge information fusion. The core method combines stereoscopic vision and structured light dual type information consistently, focusing on extracting edge point information around the hole edge to achieve precise detection and positioning of circular holes. In this approach, a line multi directional gradient feature detector (LMGFD) is introduced for locating the holes from plane stereoscopic image. Furthermore, we establish a 3D circular hole detection method (BPCircle) based on the dual contour edge infor-mation fusion. Finally, experiments demonstrate that our proposed method validates algorithm accuracy and ro-bustness based on our own collected standard IPCDS dataset (including 2D images, 3D point clouds, and measured data of three coordinate measuring machine). The dataset and code can be found here. |
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| The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan) |
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