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Proceedings Article

Bottle inspector based on machine vision

[+] Author Affiliations
C. Toxqui-Quitl, J. Cardenas-Franco, A. Padilla-Vivanco, J. Valdiviezo-Navarro

Univ. Politécnica de Tulancingo (Mexico)

Proc. SPIE 8661, Image Processing: Machine Vision Applications VI, 86610Y (March 6, 2013); doi:10.1117/12.2008571
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From Conference Volume 8661

  • Image Processing: Machine Vision Applications VI
  • Philip R. Bingham; Edmund Y. Lam
  • Burlingame, California, USA | February 03, 2013

abstract

A machine vision system for fault detection in PET bottles is presented. The bottle inspector is divided in three modules for image acquisition of bottle finish, bottle wall and bottle bottom. The captured images are corrected by adaptive gamma correction. An algorithm based in the frequency filtering of n images for defect detection of bottle wall and bottle finish is proposed. We obtain a correct rate classification of 85.5 % in bottle finish, 80.64 % in bottle wall and 95.0 % in bottle bottom. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

C. Toxqui-Quitl ; J. Cardenas-Franco ; A. Padilla-Vivanco and J. Valdiviezo-Navarro
" Bottle inspector based on machine vision ", Proc. SPIE 8661, Image Processing: Machine Vision Applications VI, 86610Y (March 6, 2013); doi:10.1117/12.2008571; http://dx.doi.org/10.1117/12.2008571


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