• 한국정밀공학회지
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• 제20권4호
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• pp.223-229
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• 2003

Tool wear monitoring is an important technique in the flexible manufacturing system. This paper studies the end mill wear detection using CCD camera and pattern recognition method. When the end mill working in the machining center, the bottom edge of the end mill geometry change, this information is used. The CCD camera grab the new and worn tool geometry and the area of the tool geometry was compared. In this result, when the values of the subtract worn tool from new tool end in 200 pixels, it decides the tool life. This paper proposed the new method of the end mill wear detection.

• 한국정밀공학회지
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• 제23권11호
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• pp.58-67
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• 2006

Due to the variety of signal processing and complicated mathematical analysis, it is not easy to accomplish 3D bin-picking with non-contact sensor. To solve this difficulties the reliable signal processing algorithm and a good sensing device has been recommended. In this research, 3D laser scanner and CCD camera is applied as a sensing device respectively. With these sensor we develop a two-step bin-picking method and reliable algorithm for the recognition of 3D bin object. In the proposed bin-picking, the problem is reduced to 2D intial recognition with CCD camera at first, and then 3D pose detection with a laser scanner. To get a good movement in the robot base frame, the hand eye calibration between robot's end effector and sensing device should be also carried out. In this paper, we examine auto-calibration technique in the sensor calibration step. A new thinning algorithm and constrained hough transform is also studied for the robustness in the real environment usage. From the experimental results, we could see the robust bin-picking operation under the non-aligned 3D hole object.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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• pp.1099-1102
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• 2005

In this paper, a new visual servo method, which uses 5 axis picomotor to compensate the misalignment generated between a SLM and a CCD in a holographic storage device, was proposed and the effectiveness of it was proved by the experiment. In a holographic storage device, the data processing is done by the SLM and the CCD, and the shape of data is 2 dimensional binary patterns. Therefore, the exact image matching between the SLM and the CCD is very important, and the mismatching of it causes the errors in the data reconstruction. First, the brief introduction of a holographic data storage is given, then, BER concept which is errors caused by pixel mismatch between the SLM and the CCD is defined. Second, the geometric relation between 5 axis picomotor and the CCD movement is studied. Finally, the visual servo method using 5 axis picomotor to reduce the BER in a holographic storage device is proposed and experimented. From the experiment, we find that about 3% BER improvement is obtained by the proposed method.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.464-467
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• 2007

All image data acquisition systems for example the digital camera and digital camcorder, use the image sensor to convert the image data (light) into electronic data. These image sensors are used in satellite camera for high quality and resolution image data. There are two kinds of image sensors, the one is the CCD (charge coupled device) detector sensor and the other is the CMOS (complementary metal-oxide semiconductor) image sensor. The CCD sensor control system has more complex than the CMOS sensor control system. For the high quality image data on CCD sensor, the precise timing control signal and the several voltage sources are needed in the control system. In this paper, the comparison of the CCD with CMOS sensor, the CCD sensor characteristic, and the control system will be described.

• 한국멀티미디어학회논문지
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• 제13권3호
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• pp.410-416
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• 2010

본 논문은 광각 렌즈를 가지는 CCD 카메라에서 왜곡 보정 시 필요한 샘플화소의 좌표들을 자동으로 추출하는 알고리즘을 제안한다. 제안한 방법은 광각 렌즈를 통하여 획득한 왜곡된 영상에 대하여 노이즈를 제거한 후 에지 영상을 구한다. 그 후, 수평 방향과 수직 방향에 대한 히스토그램을 임계치와 비교하여 왜곡 좌표를 추출한다. 이 방법은 광각 CCD 카메라의 출력물에 직접 적용 할 수 있다. 그 결과 제안한 방법은 수작업으로 인한 번거로운 작업과 부정확한 샘플 좌표로 인한 오류 없이 자동으로 샘플 좌표를 추출하고 보정한 결과 영상을 얻을 수 있었다. 또한 렌즈 각과 왜곡 형태에 상관없이 적용 가능함을 확인할 수 있었다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 춘계학술대회
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• pp.811-813
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• 2013

방사선을 측정하기 위해서는 여러 종류의 센서가 있다. 그 센서들 중에서 콜리메이터와 신틸레이터 통해 CCD 센서에서 감도나 센싱 방법을 사용하였다. 본 연구에서는 해상도가 높은 CCD 센서를 이용하여 방사선을 검출하는데, 신틸레이터 통해 CCD에 들어오는 영상에서 방사선에 반응하여 생기는 가시광선을 처리하여 방사선량을 측정하고 공간상에서 방사선이 가장 많이 나오는 포인터를 제시하는 것이다. 추후 영상을 스테레오 카메라 방식의 구현하여 방사선원까지 거리 산출하고 영상화하는 것이다.

• 한국정보통신학회논문지
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• 제22권2호
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• pp.261-269
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• 2018

본 논문은 플렌옵틱 영상에 CCD 카메라 모델을 적용하여 플렌옵틱 카메라의 내부 파라미터를 구하는 편리한 방법을 제안한다. 플렌옵틱 카메라 캘리브레이션에 사용되는 영상은 일반적으로 CCD 카메라 캘리브레이션에서 사용하는 체크보드패턴을 사용한다. CCD 카메라 모델에 기반 하여 플렌옵틱 카메라 모델의 행렬식을 구하고 이를 통해 초점거리, 주점, 베이스라인, 가상카메라와 물체사이의 거리를 나타내는 4가지 방정식을 공식화한다. 그리고 비선형 최적화 기법을 수행하여 방정식의 해를 찾는다. 구해진 추정치는 실제 매개 변수와 비교하고 구해진 파라미터를 이용해 재 투영 오차율을 구한다. 실험 결과 제안한 방법을 통해 구한 매개 변수는 실제와 매우 유사한 값을 가지며 재투영 오차율은 수용할 수 있는 정도로 나타난다.

• 한국자동차공학회논문집
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• 제11권6호
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• pp.213-221
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• 2003

This paper describes a method of lane tracking by means of a vision system which includes vehicle control and modeling. Lane tracking is considered one of the important technologies in an unmanned vehicle and mobile robot system. The current position and condition of the vehicle are calculated from an image processing method by a CCD camera. We deal with lane tracking as follows. First, vehicle control is included in the road model, and lateral and longitudinal controls. Second, the image processing method deals with the lane detection method, image processing algerian, and filtering method. Finally, this paper proposes a correct method for lane detection through a vehicle test by wireless data communication.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2001년도 춘계학술대회 논문집(한국공작기계학회)
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• pp.137-142
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• 2001

Since recent production system becomes that of the small quantity, large volume with high quality production, accurate and high speed inspection system is required. In such situation, noncontact 3D measurement system which utilized CCD cameras is useful technique in terms of system cost, speed of data acquisition, measuring accuracy and application. However, it has low accuracy compared with contact 3D measurement system because of the camera distortion, non uniformity of laser distribution and so on. For those reasons, in this paper precision enhancement method is studied considering radial camera distortion, and laser distribution. A distortion correction method is applied even to the standard lens. The laser slit beam trajectory is determined by 3 method: based of the Gaussian function signal approximation, the median method, the center of gravity method and the peak point of the Gaussian function method.

• 제어로봇시스템학회논문지
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• 제21권2호
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• pp.162-167
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• 2015

In this paper, we propose a F-MBE algorithm for Dual mode seeker (CCD and IIR). The MBE algorithm show improved performance at the IIR target size estimation. but the MBE can't use at Dual Mode seeker. To overcome this problem,, we apply template matching method for CCD target size information. The performance of proposed F-MBE method is tested at target intercept scenario of dual mode seeker equipped missile. The experiment results show that the proposed algorithm has the relatively improved performance.