NDLI: Row-level algorithm to improve real-time performance of glass tube defect detection in the production phase

Content Provider	IET Digital Library
Author	Vitis, Gabriele A. De Foglia, Pierfrancesco Prete, Cosimo A.
Abstract	In the case of the glass tube for pharmaceutical applications, high-quality defect detection is made via inspection systems based on image processing. Such processing must be fast enough to guarantee real-time inspection and to meet the increasing rate and quality required by the market. Defect detection is complex due to specific problems of the production process: vibration, rotation and irregularity of the tube. All these aspects prevent the efficient use of known techniques. The authors present an algorithm that decreases the processing time of the defect detection phase. The algorithm is based on a moving average filter working at row level, that allows to minimize the effects of rotation, vibration, and irregularity of the tube. Luminosity variations due to the tube curvature are cut by the filter and a threshold algorithm can be applied. They made the evaluation considering different solutions taken from literature. The algorithm outperforms, in processing time, all these solutions with increased accuracy. Experimental measures show that the algorithm achieves a throughput gain of 2.6 times with respect to Canny. They develop also a methodology to get the best values for the algorithm parameters directly at the factory, during the change of production batches.
Starting Page	2911
Ending Page	2921
Page Count	11
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 12, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.1506
Journal	IET Image Processing
Publisher Date	2020-05-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Automatic Optical Inspection Computer Vision And Image Processing Technique Defect Detection Phase Defect Size Detection Detection Technique Edge Detection Glass Tube Defect Detection Glass Tube Inspection High-quality Defect Detection Image Processing Image Recognition Imperfect Cylindrical Shape Industrial Application of IT Inspection And Quality Control Inspection System Mechanical Engineering Perfect Tube Circular Shape Pharmaceutical Application Pharmaceutical Industry Pharmaceutical Market Pharmaceuticals Pipes Processing Time Product And Commodities Production Batches Production Engineering Computing Production Phase Production Process Production Rate Quality Control Real-time Inspection Real-time Performance Row Level Row-level Algorithm Threshold Algorithm Vibrations Vibrations And Shock Wave
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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