Oğuz, Seyfullah Halit2016-01-082016-01-081990http://hdl.handle.net/11693/17304Ankara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Science of Bilkent Univ. , 1990.Thesis (Master's) -- Bilkent University, 1990.Includes bibliographical references leaves 122-125.In this thesis, the design and implementation of an automated rule based visual printed circuit board (PCB) inspection system are presented. The developed system makes use of mathematical morphology based image processing algorithms. This system is designed for the detection of the PCB defects related to the conducting structures on the PCBs. For this purpose, four new algorithms, three of which are defect detection algorithms, are designed, and an already existing algorithm is modified for its implementation in our system. The designed defect detection algorithms respectively verify the minimum conductor trace width, minimum land width, and the minimum conductor trace spacing requirements on digital binary PCB images. The implementation of a prototype system is made in our image processing laboratory and the necessary computer programs are developed. These programs control the image processor and apply the defect detection algorithms to discrete binary PCB test images.xv, 257 leaves, illustrationsEnglishinfo:eu-repo/semantics/openAccessPrinted circuit boardsRule based systemsAutomated visual inspectionMathematical morphologyTK7868.P7 O35 1990Printed circuits-Design and construction.Printed circuits.Electronic circuits design.Image processing.Thesis