Character recognition has always been a hot topic in the field of computer vision.However,it is often difficult to obtain high-precision results in the actual scene owing to factors such as lighting conditions and ima...Character recognition has always been a hot topic in the field of computer vision.However,it is often difficult to obtain high-precision results in the actual scene owing to factors such as lighting conditions and imaging angle.Aiming at the problem of handwritten billet identification in the steel industry,this paper proposes the use of the canny edge extraction method to enhance the contour characteristics of characters.This technique is combined with the object detection network to achieve the automatic identification of blank square numbers and solve the problem of automatic tracking of billet logistics in the production process.The proposed algorithm is applied to the site with more than 2019 images containing characters in the test set.Results show that the proposed algorithm has good practical application potential.展开更多
A conoscopic holography-based 3D measurement system for analyzing the defects on the surface of steel plates was introduced in this paper. The hardware, which is automated through software, performs sampling of the st...A conoscopic holography-based 3D measurement system for analyzing the defects on the surface of steel plates was introduced in this paper. The hardware, which is automated through software, performs sampling of the steel plate surface. Through the software interface,point-cloud data of the steel plate surface are obtained and reconstructed to form a 3D image of the steel plate surface. The software allows automatic analysis of steel plate surface detects through identification of the bulges and depressions. In addition, the software can also automatically calculate the defect information ,such as the deepest point, volume, opening area, opening length, and so on, thereby determining the defect size. The results determined by this 3D measurement system were found to be in good agreement with the actual values.展开更多
This paper analyzes the current difficulties encountered in on-line inspection systems of strip surface quality, specifically relating to problems with real-time processing of huge amounts of data. To address this nee...This paper analyzes the current difficulties encountered in on-line inspection systems of strip surface quality, specifically relating to problems with real-time processing of huge amounts of data. To address this need, this paper describes an FPGA-based high-speed image processing module with both hardware and software aspects. Improving these two aspects together will help the system achieve real-time processing of massive image data, and simplifies the architecture of the strip surface quality on-line inspection system.展开更多
文摘Character recognition has always been a hot topic in the field of computer vision.However,it is often difficult to obtain high-precision results in the actual scene owing to factors such as lighting conditions and imaging angle.Aiming at the problem of handwritten billet identification in the steel industry,this paper proposes the use of the canny edge extraction method to enhance the contour characteristics of characters.This technique is combined with the object detection network to achieve the automatic identification of blank square numbers and solve the problem of automatic tracking of billet logistics in the production process.The proposed algorithm is applied to the site with more than 2019 images containing characters in the test set.Results show that the proposed algorithm has good practical application potential.
文摘A conoscopic holography-based 3D measurement system for analyzing the defects on the surface of steel plates was introduced in this paper. The hardware, which is automated through software, performs sampling of the steel plate surface. Through the software interface,point-cloud data of the steel plate surface are obtained and reconstructed to form a 3D image of the steel plate surface. The software allows automatic analysis of steel plate surface detects through identification of the bulges and depressions. In addition, the software can also automatically calculate the defect information ,such as the deepest point, volume, opening area, opening length, and so on, thereby determining the defect size. The results determined by this 3D measurement system were found to be in good agreement with the actual values.
文摘This paper analyzes the current difficulties encountered in on-line inspection systems of strip surface quality, specifically relating to problems with real-time processing of huge amounts of data. To address this need, this paper describes an FPGA-based high-speed image processing module with both hardware and software aspects. Improving these two aspects together will help the system achieve real-time processing of massive image data, and simplifies the architecture of the strip surface quality on-line inspection system.
