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Insulator Surface Defect Detection Method Based on Graph Feature Diffusion Distillation. [PDF]
J ImagingLi S, Zhang N, Yang G, Hou Y, Zhang X.
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Detection and localization of defects on natural leather surfaces
Journal of Ambient Intelligence and Humanized Computing, 2021Defects that appear on a leather surface may be the result of natural variations or poor handling during the manufacturing process. Visual inspection in the factory is one of the essential steps in the process of quality assurance. It should be done before the finished products are being dispatched to the customer.
Yee Siang Gan +6 more
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A defects detection system for the surfaces of stampings
SPIE Proceedings, 2013Detecting defects on the surfaces of stampings plays a critical role in the manufacturing process. Many methods have been proposed to detect and identify simple defects on stampings. However, these methods suffer from large system size, high cost, and low speed for inspection.
Baowen Chen +3 more
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A DEFECT DETECTION SCHEME FOR WEB SURFACE INSPECTION
International Journal of Pattern Recognition and Artificial Intelligence, 2000The goal of this work was to develop an improved defect detection scheme for high-speed real-time web surface inspection. This goal was realized by splitting the task into two independent parts: feature extraction and segmentation. Both parts were implemented using efficient algorithms which were implemented in hardware that is suitable and fast enough
Jukka Iivarinen +4 more
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Metal Surface Defect Detection
2019 IEEE Pune Section International Conference (PuneCon), 2019In this paper we have surveyed three papers which use different methodologies for metal surface defect detection using image processing and deep learning. It also employees pattern reorganization for defect detection.
Parth Sagar +4 more
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Few-Shot Steel Surface Defect Detection
IEEE Transactions on Instrumentation and Measurement, 2022Deep learning based algorithms have been widely employed to build reliable steel surface defect detection systems, which are important for manufacturing. The performance of deep learning models relies heavily on abundant annotated data. Nevertheless, the labeled image volume in industrial datasets is often limited.
Haohan Wang, Zhuoling Li, Haoqian Wang
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Evaluation of Data Augmentation on Surface Defect Detection
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2021In this paper, we have investigated and benchmarked the augmentation approach of image augmentation to increase or provide a different result in detection accuracy compared to the basic method without augmentation. We explored two different methods of pixel-wise operations: pixel domain manipulation and spatial domain transformation to analyze the ...
Isack Farady +4 more
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Automatic detection of surface defects
SCIENTIA SINICA Informationis, 2017In the automobile manufacturing industry, the detection of surface defects is a crucial process for quality control. This study simulates the process by which engineers find defects on an outer surface using a parallel light reflection map and the proposed integral reflection map (IRM)detection algorithm.
Quan LI, Jin HUANG, Hujun BAO, Zeyun SHI
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Detection of a small defect on a rough surface
Optics Letters, 1998We report experimental results that show that the far-field correlation function is sensitive to a small local change in rough-surface geometry, where the speckle spatial correlation rather than the sample ensemble average is adopted. The angular cross-correlation function of the far-field speckles scattered by one-dimensional random rough surfaces is ...
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