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Correction method for geometric image distortion with application to printed circuit board inspection systems

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2 Author(s)
Wan-young Lee ; Dept. of Control and Robot Eng., Chungbuk National University, Cheongju, Korea ; Tae-Hyoung Park

Geometric distortion of an image is one of the most important parameters affecting the accuracy of optical inspection systems. We propose a new image distortion correction method to increase the accuracy of printed circuit board (PCB) inspection systems. Our model-free method is applied to correct the randomly distorted images that cannot be represented by a mathematical model. To reduce the correction time of the inspection system, we propose a control area-merging algorithm that minimizes the number of control areas using the quad-tree approach. We apply the proposed method to a PCB inspection system, and verify its usefulness through experiments using actual inspection images.

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Date of Conference:

18-21 Aug. 2009