The vision system dedicated to the diagnosis of technical objects using the OpenCV library

• Autorzy: Cichoń J. , Hetmańczyk M.
• Języki publikacji: EN

Abstrakty

EN

This paper presents the authorship vision system that allows for the diagnostics and classification of flat geometrical objects. The authors described the developed structure and key design steps. A particular attention was paid to: functional dependencies contained inside described vision system, a capture process of images (from an environment), images processing and their analysis, structures and selection of functions contained in the OpenCV library. In an extended way the authors have described the program structure used with built laboratory stand, the principle of operation of subprograms (myCalib, myAnalizator, BrokerGI) and analysis of their applicability.

Słowa kluczowe

EN

OpenCV; technical object; video process; geometrical object

PL

OpenCV; obiekt techniczny; proces wizyjny; obiekt geometryczny

• Wydawca: Instytut Automatyzacji Procesów Technologicznych i Zintegrowanych Systemów Wytwarzania Politechniki Śląskiej
• Czasopismo: Selected Engineering Problems
• Rocznik: 2013
• Tom: nr 4
• Strony: 29--34
• Opis fizyczny: Bibliogr. 8 poz.

Twórcy

autor

Cichoń J.

• Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, Faculty of Mechanical Engineering, Gliwice, Poland

autor

Hetmańczyk M.

• Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, Faculty of Mechanical Engineering, Gliwice, Poland

Bibliografia

• 1. Bradski G., Kaehler A.: Learning OpenCV Computer Vision with the OpenCV Library. USA: O'Reilly Media, 2008.
• 2. Laganiere R.: OpenCV 2 Computer Vision Application Programming Cookbook. Birmingham: Packt Publishing, 2011.
• 3. Parker J.G.: Algorithms for Image Processing and Computer Vision. Canada: Wiley, 2011.
• 4. Bishop C.M.: Pattern Recognition and Machine Learning. Cambridge: Springer Verlag, 2006.
• 5. Cichoń J.: The vision system using OpenCV library. The master thesis – Gliwice: Institute of Engineering Processes Automation and Integrated Manufacturing Systems, 2013.
• 6. Hryniewicz P., Kost G. Banaś W., Nierychlok A.: Object Tracking in a 2D Space using LABVIEW Vision. “ModTech 2013. Book of Abstracts”, Romania: ModTech Publishing House, 2013, pp. 211.
• 7. Hetmańczyk M.P., Michalski P.: The Aid of a Mistake Proofing with the use of Mechatronic Systems According to the Poka-Yoke Methodology. “Advanced Materials Research” 2014, Vol. 837, pp. 399-404.
• 8. Michalski P., Hetmańczyk M.P.: The Self-excitation Phenomenon of Quasi Shielded Inductive Proximity Switches. “Advanced Materials Research” 2014, Vol. 837, pp. 405-410.