DEVELOPMENT OF COMPUTER VISION ALGORITHMS FOR MEASUREMENT AND INSPECTION OF EXTERNAL SCREW THREADS

Autor:	E.S. Gadelmawla
Rok vydání:	2011
Předmět:	Screw thread business.industry Machine vision Computer science Metric (mathematics) Computer vision algorithms Image processing Computer vision Development (differential geometry) Artificial intelligence Metric system Thread (computing) business
Zdroj:	JES. Journal of Engineering Sciences. 39:581-605
ISSN:	2356-8550
DOI:	10.21608/jesaun.2011.127666
Popis:	The current methods of measuring screw threads are either timeconsuming or expensive. In addition, no single measurement method isavailable and capable of accurately measuring all screw thread featureswhile significantly reducing the measurement time. This paperintroduces a vision system for automatic measurement and inspection ofmost types of screw threads. Many image processing and computervision algorithms have been developed to analyze the captured images ofscrew threads and perform the measurement and inspection processes.Most of the common screw thread features (18 features) could bemeasured by the introduced vision system. The system has beencalibrated for both imperial and metric units and was verified bymeasuring a standard ISO metric thread plug gage and comparing theresults of the measurements with the standard values. The results showedthat the maximum difference between the standard and measured valueswas ±5.4 m, which provide a good accuracy for measurement.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a26583338f82919f193ff8c41b04d1d5 https://doi.org/10.21608/jesaun.2011.127666 Zobrazit plný text záznamu