• 제목/요약/키워드: image Vision

검색결과 2,594건 처리시간 0.029초

외관 검사의 정확도 향상을 위한 영상 분할 평균값 매칭 기법 개발 (Image Separation Average Value Matching Method Development for Accuracy Improvement of Appearance Inspection)

  • 박세혁;강수민;허경무
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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    • pp.445-446
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    • 2007
  • The goal of this paper is accuracy improvement of appearance inspection by using image separation average value matching method. The appearance inspection of various electronic products and parts has been executed by the eyesight of human. But inspection by eyesight can't bring about uniform inspection result. Because the appearance inspection result by eyesight of human is changed by condition of physical and spirit of the checker. So machine vision inspection system is currently used to many appearance inspection fields instead of the checker. However the inspection result of machine vision is changed by the illumination of workplace. Therefore we have used a average value matching in this paper for improvement of vision inspection accuracy and could increase inspection accuracy of vision system. In other words, we made an effort for elevation of vision inspection accuracy by making the identical image separation average value of reference image and input image. Also this system has been developed only using PC, CCD Camera and Visual C++ for universal workplace.

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빌렛영상에 포함된 문자인식을 위한 비전시스템 개발 (Development of vision system for the character recognition of the billet image)

  • 박상국
    • 한국산업정보학회논문지
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    • 제13권1호
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    • pp.22-29
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    • 2008
  • 본 논문은 철강공장의 연주공정에서 만들어진 빌렛 소재의 관리를 위해 사용되는 소재 관리문자를 실시간으로 인식하기 위한 비전시스템 개발 결과에 대해 기술한다. 빌렛 재질의 단면에 마킹된 소재 관리문자는 소재가 다음 공정으로 이동하기 전에 공정상에서 실시간으로 인식된다. 문자인식용 비전시스템은 영상획득을 위한 카메라 시스템, 영상을 장거리로 고속 전송하기위한 영상전송 시스템, 기존 시스템과의 인터페이스를 위한 입 출력 장치 및 문자인식용 소프트웨어로 구성된다. 개발된 비전시스템을 실제 철강 선제공정에 설치하여 운용테스트를 실시했다. 테스트를 통해 시스템의 내구성과 신뢰성을 검증하고 최종적으로 문자 인식률을 검증했다. 개발된 시스템에 대해 문자인식 테스트 결과 약 98.6%의 높은 인식률을 가졌다.

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Novel Measurement method for Image Sticking based on Human Vision System

  • Park, Gi-Chang;Lee, Jong-Seo;Souk, Jun-Hyung;Yi, Jun-Sin
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2007년도 7th International Meeting on Information Display 제7권2호
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    • pp.1478-1481
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    • 2007
  • This paper introduced a measurement method for image sticking based on human vision perception. Existing image sticking quantification method is mostly different from visible level by human perception. It takes a long time to measure image sticking which is degraded by time due to using a spot photometer, therefore many test samples could not be evaluated in a given short period of time in mass production line. However, the new measurement method in this paper is possible to evaluate a large quantity of samples in fast and high correlation with human perceptual level of image sticking.

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실시간 영상처리 시스템 구성에 관한 연구 (A Study on Architecture of Real Time Image Processing System)

  • 백남칠;우동민;김영일;최호현
    • 대한전기학회논문지
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    • 제37권4호
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    • pp.240-250
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    • 1988
  • This pc-vision system digitizes/displays 512*512*8 bit pixel image in real time and is capable of the various image processing. This system provides a versatile solution to those users pursuing high performance image processing system compatible with the VME bus, and is general purpose imaging system giving the optimal efficiency for machine vision, medical use and various task. In this paper, Image processing technique has classified image enhancement and image analysis in order to design and implement the pc-vision system. In order to improve processing speed, This system unilizing ROI processing performs point operation, local operation and global operation as well as common arithmetic/logic operation in real time.

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기계시각장치에 의한 토마토 작물의 병해엽 검출 (Machine Vision Based Detection of Disease Damaged Leave of Tomato Plants in a Greenhouse)

  • 이종환
    • Journal of Biosystems Engineering
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    • 제33권6호
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    • pp.446-452
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    • 2008
  • Machine vision system was used for analyzing leaf color disorders of tomato plants in a greenhouse. From the day when a few leave of tomato plants had started to wither, a series of images were captured by 4 times during 14 days. Among several color image spaces, Saturation frame in HSI color space was adequate to eliminate a background and Hue frame was good to detect infected disease area and tomato fruits. The processed image ($G{\sqcup}b^*$ image) by OR operation between G frame in RGB color space and $b^*$ frame in $La^*b^*$ color space was useful for image segmentation of a plant canopy area. This study calculated a ratio of the infected area to the plant canopy and manually analyzed leaf color disorders through an image segmentation for Hue frame of a tomato plant image. For automatically analyzing plant leave disease, this study selected twenty-seven color patches on the calibration bars as the corresponding to leaf color disorders. These selected color patches could represent 97% of the infected area analyzed by the manual method. Using only ten color patches among twenty-seven ones could represent over 85% of the infected area. This paper showed a proposed machine vision system may be effective for evaluating various leaf color disorders of plants growing in a greenhouse.

백라이트 유닛의 결함 검사를 위한 비전 시스템 개발 (Development of Vision system for Back Light Unit of Defect)

  • 한창호;오춘석;유영기;조상희
    • 대한전기학회논문지:시스템및제어부문D
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    • 제55권4호
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    • pp.161-164
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    • 2006
  • In this thesis we designed the vision system to inspect the defect of a back light unit of plat panel display device. The vision system is divided into hardware and inspection algorithm of defect. Hardware components consist of illumination part, robot-arm controller part and image-acquisition part. Illumination part is made of acrylic panel for light diffusion and five 36W FPL's(Fluorescent Parallel Lamp) and electronic ballast with low frequency harmonics. The CCD(Charge-Coupled Device) camera of image-acquisition part is able to acquire the bright image by the light coming from lamp. The image-acquisition part is composed of CCD camera and frame grabber. The robot-arm controller part has a role to let the CCD camera move to the desired position. To take inspections of surface images of a flat panel display it can be controlled and located every nook and comer. Images obtained by robot-arm and image-acquisition board are saved on the hard-disk through windows programming and are tested whether there are defects by using the image processing algorithms.

Essential Computer Vision Methods for Maximal Visual Quality of Experience on Augmented Reality

  • Heo, Suwoong;Song, Hyewon;Kim, Jinwoo;Nguyen, Anh-Duc;Lee, Sanghoon
    • Journal of International Society for Simulation Surgery
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    • 제3권2호
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    • pp.39-45
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    • 2016
  • The augmented reality is the environment which consists of real-world view and information drawn by computer. Since the image which user can see through augmented reality device is a synthetic image composed by real-view and virtual image, it is important to make the virtual image generated by computer well harmonized with real-view image. In this paper, we present reviews of several works about computer vision and graphics methods which give user realistic augmented reality experience. To generate visually harmonized synthetic image which consists of a real and a virtual image, 3D geometry and environmental information such as lighting or material surface reflectivity should be known by the computer. There are lots of computer vision methods which aim to estimate those. We introduce some of the approaches related to acquiring geometric information, lighting environment and material surface properties using monocular or multi-view images. We expect that this paper gives reader's intuition of the computer vision methods for providing a realistic augmented reality experience.

기계 시각과 인공 신경망을 이용한 파란의 판별 (Detection of Surface Cracks in Eggshell by Machine Vision and Artificial Neural Network)

  • 이수환;조한근;최완규
    • Journal of Biosystems Engineering
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    • 제25권5호
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    • pp.409-414
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    • 2000
  • A machine vision system was built to obtain single stationary image from an egg. This system includes a CCD camera, an image processing board and a lighting system. A computer program was written to acquire, enhance and get histogram from an image. To minimize the evaluation time, the artificial neural network with the histogram of the image was used for eggshell evaluation. Various artificial neural networks with different parameters were trained and tested. The best network(64-50-1 and 128-10-1) showed an accuracy of 87.5% in evaluating eggshell. The comparison test for the elapsed processing time per an egg spent by this method(image processing and artificial neural network) and by the processing time per an egg spent by this method(image processing and artificial neural network) and by the previous method(image processing only) revealed that it was reduced to about a half(5.5s from 10.6s) in case of cracked eggs and was reduced to about one-fifth(5.5s from 21.1s) in case of normal eggs. This indicates that a fast eggshell evaluation system can be developed by using machine vision and artificial neural network.

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3-Dimension 영상을 이용한 카메라 초점측정 및 동일축 이동 모델의 영상 정합 (Camera Focal Length Measuring Method and 3-Dimension Image Correspondence of the Axial Motion Model on Stereo Computer Vision)

  • 정기룡
    • 한국항해학회지
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    • 제16권3호
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    • pp.77-85
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    • 1992
  • Camera arrangement for depth and image correspondence is very important to the computer vision. Two conventional comera arrangements for stereo computer vision are lateral model and axial motion model. In this paper, using the axial motion stereo camera model, the algorithm for camera focal length measurement and the surface smoothness with the radiance-irradiance is proposed fro 3-dimensional image correspondence on stereo computer vision. By adapting the above algorithm, camera focal length can be measured precisely and the resolution of 3-dimensional image correspondence has been improved comparing to that of the axial motion model without the radiance-irradiance relation.

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Image-Based Visual Servoing Control of a SCARA Robot

  • Han, Sung-Hyun;Lee, Man-Hyung;Hashimoto, Hideki
    • Journal of Mechanical Science and Technology
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    • 제14권7호
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    • pp.782-788
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    • 2000
  • In this paper, we present a new approach to visual feedback control using image-based visual servoing with stereo vision. In order to control the position and orientation of a robot with respect to an object, a new technique is proposed using binocular stereo vision. The stereo vision enables us to calculate an exact image Jacobian not only around a desired location but also at other locations. The suggested technique can guide a robot manipulator to the desired location without providing a priori knowledge such as the relative distance to the desired location or the model of an object even when the initial positioning error is large. This paper describes a model of stereo vision and how to generate feedback commands. The performance of the proposed visual servoing system is illustrated by experimental results and compared with conventional control methods for an assembly robot.

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