• Title/Summary/Keyword: laser image processing

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Study on the Reconstruction of Skull Prototype using Sliced Image Data (단면 영상 데이터에 의한 두상 인골모형 제작에 관한 연구)

  • 허성민;한동구;이기현;이석희;최병욱
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.5
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    • pp.76-83
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    • 2000
  • Shape reconstruction is considered as a new technology to be useful and important in many areas such as RPD (Rapid Product Development) and reverse engineering, compared with the conventional design and manufacturing. In shape reconstruction, it becomes possible to reconstruct objects not by their measured shape data but those data extracted from the original shape. The goal of this research is to realize 3D shape construction by showing a possible way to analyze the input image data and reconstruct that original shape. The main 2 steps of the reconstructing process are getting cross-section data from image processing and linking loops between one slice and the next one. And the reconstructed object in this way is compared with the other object using a laser scanner and modelled by an commercial software.

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Droplet size measurement using image processing method (이미지프로세싱 기법을 이용한 액적크기 측정)

  • Lim Byoungjik;Jung Kihoon;Khil Taeock;Yoon Youngbin
    • Journal of the Korean Society of Visualization
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    • v.2 no.1
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    • pp.25-31
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    • 2004
  • Droplet size is one of the most important parameter which controls the performance of the combustion system using liquid fuel or oxidizer. Droplet formation and its size are mainly affected by the injection velocity and ambient gas density. Recently, droplet size measurement was conducted by PDPA or Malvern particle analyzer using laser light. But at this paper image processing method was developed to measure droplet size. And its validation was investigated with reticle.

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Vision Based Position Detection System of Used Oil Filter using Line Laser (라인형 레이저를 이용한 비전기반 차량용 폐오일필터 검출 시스템)

  • Xing, Xiong;Song, Un-Ji;Choi, Byung-Jae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.3
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    • pp.332-336
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    • 2010
  • There are so many successful applications to image processing systems in industries. In this study we propose a position detection system for used oil filter by using a line laser. We have been done on the development of line laser as interaction devices. A camera captures images of a display surface of a used oil filter and then a laser beam location is extracted from the captured image. This image is processed and used as a cursor position. We also discuss an algorithm that can distinguish the front part and rear part. In particular we present a robust and efficient linear detection algorithm that allows us to use our system under a variety lighting conditions, and allows us to reduce the amount of image parsing required to find a laser position by an order of magnitude.

The Development of Surface Inspection System Using the Real-time Image Processing (실시간 영상처리를 이용한 표면흠검사기 개발)

  • 이종학;박창현;정진양
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.171-171
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    • 2000
  • We have developed m innovative surface inspection system for automated quality control for steel products in POSCO. We had ever installed the various kinds of surface inspection systems, such as a linear CCD and a laser typed surface inspection systems at cold rolled strips production lines. But, these systems cannot fulfill the sufficient detection and classification rate, and real time processing performance. In order to increase detection and classification rate, we have used the Dark, Bright and Transition Field illumination and area type CCD camera, and fur the real time image processing, parallel computing has been used. In this paper, we introduced the automatic surface inspection system and real time image processing technique using the Object Detection, Defect Detection, Classification algorithms and its performance obtained at the production line.

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Tool Wear Monitoring with Vision System by Block Processing (화상의 블럭처리기법을 이용한 공구마멸 측정기술)

  • Lee, Sang-Jo;Cho, Chang-Yeon;Lee, Jong-Hang
    • Journal of the Korean Society for Precision Engineering
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    • v.10 no.3
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    • pp.81-86
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    • 1993
  • It is well known that the interest on the on-line sensing of tool wear is growing more and more with the aim of controlling machine tools productivity from the point of view of quality. This paper describes the sensing of the amount of flank wear with vision system. To obtain a proper image He-Ne laser generator is used as the lighting source and obtained image is processed with block processing algorithm and morphological image processing method. By means of this system it is possible to evaluate the parameters of tool wear. Experimental tests performed with this system on an NC lathe have shown good performances here described and discussed.

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Flow Field Analysis around Multi-Cylinders Using Particle Image Velocimetry (PIV를 이용한 다수원주 주위 유동장 해석)

  • 전완수;박준수;권순홍;하동대;최장운;이만형
    • Journal of Ocean Engineering and Technology
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    • v.10 no.3
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    • pp.89-95
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    • 1996
  • The flow field around four cylinders for various angles was investigated utilizing particle image velocimetry(PIV) technique. Flow field was recorded by video camera first. Then application of PIV technique was done to the flow field. The results turned out to be useful to analyze complex flow field around multiple cylinders.

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System Design and Performance Analysis of 3D Imaging Laser Radar for the Mapping Purpose (맵핑용 3차원 영상 레이저 레이다의 시스템 설계 및 성능 분석)

  • La, Jongpil;Ko, Jinsin;Lee, Changjae
    • Journal of the Korea Institute of Military Science and Technology
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    • v.17 no.1
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    • pp.90-95
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    • 2014
  • The system design and the system performance analysis of 3D imaging laser radar system for the mapping purpose is addressed in this article. For the mapping, a push-bloom scanning method is utilized. The pulsed fiber laser with high pulse energy and high pulse repetition rate is used for the light source of laser radar system. The high sensitive linear mode InGaAs avalanche photo-diode is used for the laser receiver module. The time-of-flight of laser pulse from the laser to the receiver is calculated by using high speed FPGA based signal processing board. To reduce the walk error of laser pulse regardless of the intensity differences between pulses, the time of flight is measured from peak to peak of laser pulses. To get 3D image with a single pixel detector, Risley scanner which stirs the laser beam in an ellipsoidal pattern is used. The system laser energy budget characteristics is modeled using LADAR equation, from which the system performances such as the pulse detection probability, false alarm and etc. are analyzed and predicted. The test results of the system performances are acquired and compared with the predicted system performance. According to test results, all the system requirements are satisfied. The 3D image which was acquired by using the laser radar system is also presented in this article.

Improvement of self-mixing semiconductor laser range finder and its application to range-image recognition of slowly moving object

  • Suzuki, Takashi;Shinohara, Shigenobu;Yoshida, Hirofumi;Ikeda, Hiroaki;Saitoh, Yasuhiro;Nishide, Ken-Ichi;Sumi, Masao
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10b
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    • pp.388-393
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    • 1992
  • An infrared range finder using a self-mixing laser diode (SM-LD), which has been proposed and developed by the Authors, can measure not only a range of a moving target but its velocity simultaneously. In this paper, described is that the precise mode-hop pulse train can be obtained by employing a new signal processing circuit even when the backscattered light returning into the SM-LD is much more weaker. As a result, the distance to a tilted square sheet made from aluminium or white paper, which is placed 10 cm through 60 cm from the SM-LD, is measured with accuracy of a few percent even when the tilting angle is less than 75 degrees or 85 degrees, respectively. And in this paper, described is the range-image recognition of a plane object under the condition of standstill. The output laser beam is scanned by scanning two plane mirrors-equipped with each stepping motor. And we succeeded in the acquisition of the range-image of a plane object in a few tens of seconds. Furthermore, described is a feasibility study about the range-image recognition of a slowly moving plane object.

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Auto Defect Repair Algorithm for LCD Panel Review & Repair Machine (LCD 패널 Review & Repair 장비의 결함수정 자동화 알고리즘)

  • Lee, W.C.;Lim, S.M.;Lee, S.K.;Jeong, S.H.;Hong, S.K.
    • Laser Solutions
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    • v.15 no.1
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    • pp.6-9
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    • 2012
  • In TFT-LCD manufacturing process, various defects are generated by manufacturing machine trouble or particle. These defects can be repaired through the TFT-Laser repair process that only can't be automated in TFT-LCD manufacturing Process. In this Paper, we propose auto defect algorithm for TFT-LCD laser repair machine using image processing algorithm in order to automate process. Proposed algorithm can detect very small defects (< 2um) in 98% success ratio, and generated laser repair path guarantee highly precise position accuracy. Through proposed system, much of the work still done the old-fashioned way, by hand, can be automated and manufacturing company can be strengthed the competitiveness of cost.

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The Design of Parallel Processing S/W Using CUDA for Realtime 3D Laser Ladar Imaging System (실시간 3차원 레이저 레이더 영상 생성을 위한 CUDA 기반 병렬처리 소프트웨어 설계)

  • Cho, Yong Il;Ha, Choong Lim;Yang, Ji Hyeon;Kim, Jae Hyup
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.1
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    • pp.1-10
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    • 2013
  • In this paper, we propose a CUDA(Common Unified Device Architecture) based SW(software) design method for CPU(Central Processing Unit) and GPU(Graphic Processing Unit) parallel structure to implement real-time process in 3D Laser ladar(LADAR) imaging system. LADAR is a complex system to generate 3-dimensional image based on the laser ranging information, and requires massive process resources in each phase. Therefore, designing and implementing parallel structure are crucial to realize a real-time process within limited system resource. As a conclusion, we can meet the speed of required real-time process allocating separable work load to CUDA GPU by analyzing process algorithm in each phase and confirm the process speed increase by 46%.