• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2004년도 춘계학술대회 논문집
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• pp.479-485
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• 2004

The purpose of this study is to develop a practical image inspection system that could recognize it correctly, endowing flexibility to the productive field, although the same object for work will be changed in the size and rotated. In this experiment, it selected a fighter, rotating the direction from $30^{\circ}\;to\;45^{\circ}$ simultaneously while changing the size from 1/4 to 1/16, as an object inspection without using another hardware for exclusive image processing. The invariant moments, Hu has suggested, was used as feature vector moment descriptor. As a result of the experiment the image inspection system developed from this research was operated in real-time regardless of the chance of size and rotation for the object inspection, and it maintained the correspondent rates steadily above from 94% to 96%. Accordingly, it is considered as the flexibility can be considerably endowed to the factory automation when the image inspection system developed from this research is applied to the productive field.

• 한국기계가공학회지
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• 제20권12호
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• pp.1-7
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• 2021

The deep learning image processing technique was used to prevent accidents in lathe work caused by worker negligence. During lathe operation, when the chuck is rotated, it is very dangerous if the operator's hand is near the chuck. However, if the chuck is stopped during operation, it is not dangerous for the operator's hand to be in close proximity to the chuck for workpiece measurement, chip removal or tool change. We used YOLO (You Only Look Once), a deep learning image processing program for object detection and classification. Lathe work images such as hand, chuck rotation and chuck stop are used for learning, object detection and classification. As a result of the experiment, object detection and class classification were performed with a success probability of over 80% at a confidence score 0.5. Thus, we conclude that the artificial intelligence deep learning image processing technique can be effective in preventing incidents resulting from worker negligence in future manufacturing systems.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2013년도 제48차 하계학술발표논문집 21권2호
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• pp.23-26
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• 2013

최근 모바일 장치의 영상 데이터 처리 능력 확대와 더불어 사용자가 요구하는 다양한 영상 데이터의 효율적인 인식 기술 연구가 요구되어지고 있다. 모바일 환경은 고성능 PC 환경과 달리 저사양의 CPU와 메모리를 탑재하고 있어, 영상에서 원하는 객체를 인식하기 위한 기존의 방법론으로는 사용자 요구를 실시간으로 충족하기 어려운 부분이 존재한다. 이에 모바일 환경에 맞는 객체 인식 방법론의 개발이 요구된다. 모바일 환경에서 실시간으로 객체 인식을 하기 위하여, 본 논문에서는 객체 코너 정보를 이용한 Harris corner detector[1]로부터 객체의 특징점을 추출하고, 이를 바탕으로 하여 영상내의 객체 정보 인식 방법을 제안한다. 제안하는 방법에 의해, 입력 영상에서 객체의 코너 정보를 빠르게 추출, 기존 특징점과의 비교를 통하여 영상 내부의 객체 인식을 진행한다. 일반적으로, 회전된 특징점 객체의 정보는 객체의 회전 정도에 따라 코너 픽셀 색상 정보의 변화가 발생하게 된다. 특징점의 색상값은 객체의 회전 정도에 영향을 받아 주변의 픽셀값과 혼합되는 특성이 존재한다. 본 논문에서는 회전 변경된 픽셀 색상값의 영향을 분석하여, 회전된 객체의 특징점 추출 및 객체 검출에 반영하도록 하여, 영상 내부의 회전된 객체 검출의 수행에 효과적으로 이용될 수 있도록 한다. 특징점의 코너 정보를 이용하여 객체를 인식하는 것은, 객체의 인식률은 다소 감소하더라도 모바일 환경에서 계산량의 감소를 통한 실시간 활용이 가능하도록 한다. 이러한 특성은 저성능 CPU와 메모리에서도 회전된 객체의 인식을 수행할 수 있게 하는데 상당히 효과적이다.

• 한국통신학회논문지
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• 제34권10B호
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• pp.1111-1116
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• 2009

본 논문에서는 집적 영상의 획득과 복원을 이용하여 왜곡에 강인한 물체를 인식하는 방법을 연구한다. 해당 화소들의 확률적 특성인 평균과 표준편차를 이용하여 3차원 공간에서 물체를 복원하고 거리를 추정한다. 표적인식은 Fisher 선형판별법(linear discriminant analysis, LDA)과 주성분 분석법(principal component analysis, PCA) 기술을 결합한 통계적 분류기(statistical classifier)로 수행한다. Fisher 선형판별법은 클래스 간의 판별력을 최대로 하고 주성분 분석법은 Fisher 선형판별법을 수행하기 위한 차원축소를 실행한다. 주성분 분석법은 차원축소 후 복원된 벡터와 원 벡터의 오차를 최소화하는 기술로 알려져 있다. 실험 및 시뮬레이션을 통하여 면외(out-of-plane) 회전된 표적을 본 논문에서 제안한 방법으로 분류한다.

• 한국광학회지
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• 제18권1호
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• pp.31-36
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• 2007

직경과 초점거리가 수 mm인 카메라폰 렌즈의 성능을 평가하는 변조전달함수(Modulation Transfer Function: MTF) 측정장치를 개발 하였다. 전체 측정장치는 물체부, 상분석부, 렌즈 마운터로 구성되며, 물체부는 비축상 측정을 위하여 회전한다. 렌즈의 정밀한 정렬을 위하여 정밀한 수평형 거치대를 제작하였으며 광축 조정과 렌즈의 기울어짐 등의 문제를 매우 효과적으로 개선하였다. 시험렌즈의 초기정렬이 끝나면 자동으로 MTF를 측정하며 측정시간은 10초 이내이다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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• pp.1129-1132
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• 1995

Recently, the concept of automation is widely in shipping and unloading materials using the overhead crane for the enhanced productivity. In this regards, we designed an overhead crane that can be operated by operated by computer control system and installed this system at KAERI. In this paper, we introduce algorithms to find the 3D position, diameter, width, and rotated angle of objects such as drum, coil, and container. And the performance of the presented algorithms is tested using drum and container. The result will be useful for positoning grapple device such as spreader to objects in order to automatically grasp them.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.101.3-101
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• 2001

By setting a refractor with a certain angle against the optical axis of the CCD camera lens, the image of a measuring point recorded on the image plane is displaced by the corresponding amounts related to the distance between the camera and the measuring point. When the refractor that keeps the angle against the optical axis is rotated physically at high speed during the exposure of the camera, the image of a measuring point draws an annular streak. Since the size of the annular streak is inversely proportional to the distance between the camera and the measuring point, the 3D position of the measuring point can be obtained by processing the streak. In this paper, for one of the applications of our system, the measurement of a moving surface is introduced. In order to measure the moving surface, multi laser spots are projected on the surface of object. Each position of ...

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 B
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• pp.631-632
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• 2006

This paper is written by research for the transient characteristics of the Single-phase Line-start permanent Magnet. The Single-phase Line-start permanent Magnet is most likely to substitute for Single-phase Induction Motor which is used about many appliance currently, because that has good points. For example, It has a Line-start of ability and a High-efficiency. And it need not power convergence device. The rotor of The Single-phase Line-start permanent Magnet has cage-bar with permanent magnet. This motor is started by cage-bar. When it entered synchronous condition, the rotor is rotated by the permanent magnet. But the design of the permanent magnet is very important, because the breaking torque of the permanent magnet interrupt to start a rotor. Finally, if Flux Barrier is not concerned, we do not get result of our object. Therefore this thesis is concerned about Flux Barrier.

• 전자공학회논문지B
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• 제28B권5호
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• pp.327-334
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• 1991

This paper proposes an efficient method of implementing the generalized Hough transform (GHT), which has been hindered by an excessive computing load and a large memory requirement. The conventional algorithm requires a parameter space of 4 dimensions in detection a rotated, scaled, and translated object in an input image. Prior to the application of GHT to the input image, the proposed method determines the angle of rotation and the scaling factor of the test image using the proportion of the edge components between the reference image and test image. With the rotation angle and the scaling factor already determined, the parameter spaceis to be reduced to a simple array of 2 dimensions by applying the unit GHT only one time. The experiments with the image of airplanes reveal that both of the computing time and the requires memory size are reduced by 95 percent, without any degradatationof accuracy, compared with the conventional GHT algorithm.

• Journal of Electrical Engineering and information Science
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• 제2권6호
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• pp.156-161
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• 1997

Zernike moments have been one of the most commonly used feature vectors for recognizing rotated patterns due to its rotation invariant characteristics. In order to reduce its expensive computational cost, several methods have been proposed to lower the complexity. One of the methods proposed by mukundan and K. R. Ramakrishnan[1], however, is not rotation invariant. In this paper, we propose another method that not only reduces the computational cost but preserves the rotation invariant characteristics. In the experiment, we compare our method with others, in terms of computing time and the accuracy of moment feature at different rotational angle of an object in image.