• 제어로봇시스템학회:학술대회논문집
• /
• 2000.10a
• /
• pp.226-226
• /
• 2000

This paper presents the control problem for the motion of sphere with robot manipulator. The robot manipulator is controlled to regulate the angle of plate for the sphere to track given trajectories on the plate. The center position of the sphere is measured with machine vision system and the advanced algorithm for center detection is proposed in which the change of shape is considered to solve the problem of image distortion. To cope with the variation of plate material and the structure of sphere (size, mass, etc.), sliding mode control, which has robustness to model uncertainty, is applied to the control of robot manipulator.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2011.11a
• /
• pp.200-203
• /
• 2011

In order to convert interlaced video into progressive scanning format, this paper proposed a high performance de-interlacing algorithm based on region adaptive interpolation filter design. Specifically, usage of the 6-tap filter is only for the most complex region, but for the smooth and regular edge region, much more correlated filter such as 2-tap or 4-tap filter should be used instead. According to the experimental results, the proposed algorithm has achieved noticeably good performance.

• Journal of Broadcast Engineering
• /
• v.13 no.1
• /
• pp.174-184
• /
• 2008

Complementary color filter array (CCFA) is widely used in consumer-level digital video cameras, since it not only has high sensitivity and good signal-to-noise ratio in low-light condition but also is compatible with the interlaced scanning used in broadcast systems. However, the full-color images obtained from CCFA suffer from the color artifacts such as false color and zipper effects. These artifacts can be removed with edge-adaptive demosaicking (ECD) approaches which are generally used in rrimary color filter array (PCFA). Unfortunately, the unique array pattern of CCFA makes it difficult that CCFA adopts ECD approaches. Therefore, to apply ECD approaches suitable for CCFA to demosaicking is one of the major issues to reconstruct the full-color images. In this paper, we propose a new ECD algorithm for CCFA. To estimate an edge direction precisely and enhance the quality of the reconstructed image, a function of spatial variances is used as a weight, and new color conversion matrices are presented for considering various edge directions. Experimental results indicate that the proposed algorithm outperforms the conventional method with respect to both objective and subjective criteria.