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Author: search.filters.author.Kaitwanidvilai, S.Subject: search.filters.subject.Image processing

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    Design of a Gaussian filter based on Particle swarm optimization for automatic visual inspection system
    (2010-12-01)
    Thongyoun, K.
    ;
    Seanton, A.
    ;
    Kaitwanidvilai, S.
    ;
    Kanprachar, S.
    This paper proposes a development of image processing technique for inspecting the printed circuit board (PCB) of hard disk drive (HDD), which is an important part. Normally, PCB inspection is carried out by using high-resolution line scan camera. The visual inspection system of PCB is usually corrupted by image processing noise. Measuring system is significantly affected by noise because the size of the PCB is very small. To overcome this problem, this paper proposes an effective filter which uses Particle swarm optimization to design the optimal standard deviation parameter in the Gaussian filter. Experimental results demonstrate the effectiveness of the proposed filtering technique.
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    Development of new edge-detection filter based on genetic algorithm: An application to a soldering joint inspection
    (2010-02-01)
    Saenthon, A.
    ;
    Kaitwanidvilai, S.
    This paper proposes a new technique of edge detection for inspecting edge and perfection of soldering joint in the flip-chip, which is an important part of a hard disk drive. Summation of error between the actual values and the measured values from the designed system of several data sets is formulated as the objective function. Genetic algorithm is adopted to find the optimal filter mask to enhance the accuracy of the inspection system. As the results indicated, the accuracy of a system with the proposed edge-detection technique is superior to that of a system with conventional filters. © 2009 Springer-Verlag London Limited.
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    A new edge detection technique for an automatic visual inspection system using genetic algorithms
    (2008-01-01)
    Saenthon, A.
    ;
    Kaitwanidvilai, S.
    ;
    Kunakorn, A.
    ;
    Ngamroo, I.
    ;
    Kanprachar, S.
    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. © 2008 IEEE.