A pre-processing technique to decrease inspection time in glass tube production lines
| Autor: | Pierfrancesco Foglia, Gabriele Antonio De Vitis, Cosimo Antonio Prete |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Production line
Defect detection pharmaceutical glass tube real-time inspection image processing inspection systems Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Inspection time QA76.75-76.765 Signal Processing Photography Computer Vision and Pattern Recognition Computer software Electrical and Electronic Engineering Composite material TR1-1050 Software Glass tube |
| Zdroj: | IET Image Processing, Vol 15, Iss 10, Pp 2179-2191 (2021) |
| Popis: | In case of glass tube for pharmaceutical applications, high‐quality defect detection is made via inspection systems based on computer vision. The processing must guarantee real‐time inspection and meet increasing rate and quality requirements. Defect detection in glass tubes is complicated by aspects that hamper the efficiency of state‐of‐the‐art techniques. This paper presents a pre‐processing algorithm which excludes portions of the image where defects are surely absent. The approach decreases the time for defect detection and classification phases (any detection algorithm can be applied), as they are applied only in high‐probability candidate sub‐image. We derive a methodology to get robust values of algorithm's parameters during production. The algorithm relies on detrended standard deviation and double threshold hysteresis, which solve issues related to the misalignment between illuminator and acquisition camera, and enable a robust detection despite rotation, vibration, and irregularities of tubes. We consider Canny, MAGDDA, and Niblack algorithms. The solution keeps the detection quality of such algorithms and reaches a 4.69× throughput gain. It represents a methodology to obtain defect detection in time‐constrained environments through a software‐only approach, and can be exploited in parallel/accelerated solutions and in contexts where a linear camera is utilized on both flat and uneven surfaces. |
| Databáze: | OpenAIRE |
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