Title :
A new edge detection technique for an automatic visual inspection system using genetic algorithms
Author :
Saenthon, A. ; Kaitwanidvilai, S. ; Kunakorn, A. ; Ngamroo, I. ; Kanprachar, S.
Author_Institution :
Dept. of Electr. Eng., King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok
Abstract :
This paper proposes a new technique of edge detection for inspecting edge and perfection of soldering joint in the pre-amplifier circuit, which is an important part in hard disk drive. Summation of error between the actual value and the measured value from the designed system of several data sets is formulated as the objective function. Genetic algorithm (GA) is adopted to find the optimal filter mask which enhances the accuracy of the inspection system. As results indicated, accuracy of the system with the proposed edge detection technique is superior to that of the system with conventional filters. In addition, inspection time of the developed system is much faster than that of human inspection.
Keywords :
automatic optical inspection; disc drives; edge detection; filtering theory; genetic algorithms; hard discs; preamplifiers; soldering; automatic visual inspection system; conventional filters; edge detection technique; genetic algorithms; hard disk drive; human inspection; optimal filter mask; pre-amplifier circuit; soldering joint; Filters; Genetic algorithms; Humans; Image edge detection; Image processing; Inspection; Manufacturing industries; Noise reduction; Soldering; X-ray imaging; Automatic visual inspection; Genetic Algorithms; Image processing;
Conference_Titel :
Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-2678-2
Electronic_ISBN :
978-1-4244-2679-9
DOI :
10.1109/ROBIO.2009.4913288