Computer vision algorithms for measurement and inspection of external screw threads

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• 作者：E.S. Gadelmawla¹ ; ^{elamirsamy@gmail.com}
• 关键词：EPA ; edge pixels arrangement ; MISTVision ; Screw Thread Measurement and Inspection by Vision ; IPE ; Inversion Pixels Extraction ; CRPE ; Crest and Root Pixels Extraction ; CRPG ; Crest and Root Pixels Grouping ; CRGC ; Crest and Root Groups Classification ; CRDC ; Crest and Root Data Calculation ; STPC ; Screw Thread Features Calculation ; pd ; perpendicular distance
• 刊名：Measurement
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：100
• 期：Complete
• 页码：36-49
• 全文大小：3343 K
• 卷排序：100

文摘

The current methods of measuring screw threads are either time consuming or expensive. In addition, no single measurement method is available and capable of accurately measuring all screw thread features while significantly reducing the measurement time. This paper introduces a vision system for automatic measurement and inspection of most types of screw threads. Many image processing and computer vision algorithms have been developed to analyze the captured images of screw threads and perform the measurement and inspection processes. Most of the common screw thread features (18 features) could be measured by the introduced vision system. The system has been calibrated for both imperial and metric units and was verified by measuring a standard ISO metric thread plug gage and comparing the results of the measurements with the standard values. The results showed that the maximum difference between the standard and measured values was ±5.4 μm, which provide a good accuracy for measurement.