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T. Brosnan and D.-W. Sun, “Improving Quality Inspection of Food Products by Computer Vision,” FRCFT Group, Department of Agricultural and Food Engineering, University College Dublin, National University of Ireland, Earlsfort Terrace, Dublin 2, Journal of Food Engineering, Vol. 61, 2004, pp. 3-16. http://dx.doi.org/10.1016/S0260-8774(03)00183-3

has been cited by the following article:

• TITLE: Automated Visual Inspection System for Specifying Brick Quality

  AUTHORS: Ali F. Marhoon, Ayman N. Salman Younis, Farooq T. Taha

  KEYWORDS: Brick Quality Requirements; Automated Visual Inspection; Fuzzy Reasoning

  JOURNAL NAME: Journal of Sensor Technology, Vol.3 No.4, December 20, 2013

  ABSTRACT: Automated visual inspection system has been developed to specify brick quality and the accepting of the bricks in a production line. This system is based on CMOS web-camera placed in manufacture line. Depending on diameters, area, perimeter and cracks of a brick, a strong algorithm has been developed, and this algorithm is created to befit the required for measuring bricks quality. The quality is measured by fuzzy system which can give percent accepting to a brick under the test. Fuzzy reasoning gives the system more reliability than other inspection system.