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이미지 평면에서 다물체 중심 위치를 구하기 위한 화상처리 기법 개발
장완식,김기영,안힘찬 朝鮮大學校 機械技術硏究所 2002 機械技術硏究 Vol.5 No.2
Recently, the use of vision system is rapidly increasing in inspection and robot's position control. To apply the vision system, it is necessary to transform the physical coordinate of object into the image information acquired by CCD camera, which is called image processing. Thus, to use the application of the vision system in the inspection and robot's position control in real time, we have to know the position of object in the image plane. Particularly, in case of rigid body using multi-cues to identify its shape, the each position of multi-cues must by calculated in an image plane at the same time. To solve these problems, this study is developed the image processing algorithm of multi-cue's centroids position.
비젼 제어시스템에 사용된 카메라의 최적개수에 대한 실험적 연구
장완식,김선호,김기영,임호진,안힘찬 朝鮮大學校 機械技術硏究所 2002 機械技術硏究 Vol.5 No.2
The vision system model used for this study involves the six parameters that permits a kinds of adaptability in the relationship between the camera space location of manipulable visual cues and the vector of robot joint coordinates is estimated in real time. Also this vision control method requires the number of cameras to transform 2-D camera plane from 3-D physical space, and be used irrespective of location of cameras, if visual cues are displayed in the same camera plane. Thus, this study is to investigate the optimal number of cameras used for the developed vision control system according to the change of the number of cameras. This study is processed in the two ways : a) effectiveness of vision system model b) optimal number of cameras c) These results show the evidence of the adaptability of the developed vision control method using the optimal number of cameras.
비젼 제어시스템에 사용된 카메라의 최적개수에 대한 실험적 연구
장완식,김경석,김기영,안힘찬 한국공작기계학회 2004 한국생산제조학회지 Vol.13 No.2
The vision system model used for this study involves the six parameters that permits a land of adaptability in th relationship between the camera space location of manipulable visual cues and the vector of robot joint coordinates is estimated in real he. Also this vision control method quires the number of cameras to transform 2-D camera plane from 3-D physical space, and be used irrespective of location of cameras, if visual cues are displayed in the same camera plane. Thus, this study is to investigate the optimal number of cameras used for the developed vision control system according to the change of the number of cameras. This study is processed in the two ways : a) effectiveness of vision system model b) optimal number of cameras. These results show the evidence of the adaptability of the developed vision control method using the optimal number of cameras.