• Title/Summary/Keyword: precise image

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DEVELOPMENT OF LASER VISION SENSOR WITH MULTI-LINE

  • Kieun Sung;Sehun Rhee;Yun, Jae-Ok
    • Proceedings of the KWS Conference
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    • 2002.10a
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    • pp.324-329
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    • 2002
  • Generally, the laser vision sensor makes it possible design a highly reliable and precise range sensor at a low cost. When the laser vision sensor is applied to lap joint welding, however, there are many limitations. Therefore, a specially-designed hardware system has to be used. However, if the multi-lines are used instead of a single line, multi-range data can be generated from one image. Even under a set condition of 30fps, the generated 2D range data increases depending on the number of lines used. In this study, a laser vision sensor with a multi-line pattern is

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Analysis of Coiling Process and Quality Inspection of Filaments for Bulbs (전구용 필라멘트의 제조 공정 해석 및 품질 검사)

  • 정태은;표성배;전병희;장병수;김학준
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.11a
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    • pp.771-774
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    • 2000
  • Coiling processes of filaments need precise work and standardization. It is important to maintain equal pitch of filaments. Uniform pitch of filaments is one of the dominant elements of life time and efficiency of bulbs. First coiling process of filament wires is modeled by nonlinear contact problem between filaments and mandrel. Analysis of coiling process using finite element method is conducted to consider manufacturing parameters and pitch distance is calculated under the given conditions. Also image detecting system is developed to inspect uniformity of pitch. This system will be used to inspect quality of filaments during coiling processes.

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Automatic Recognition of In-Process mold Dies Based on Reverse Engineering Technology (형상 역공학을 통한 공정중 금형 가공물의 자동인식)

  • 김정권;윤길상;최진화;김동우;조명우;박균명
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2003.10a
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    • pp.420-425
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    • 2003
  • Generally, reverse engineering means getting CAD data from unidentified shape using vision or 3D laser scanner system. In this paper, we studied unidentified model by machine vision based reverse engineering system to get information about in-processing model. Recently, vision technology is widely used in current factories, because it could inspect the in-process object easily, quickly, accurately. The following tasks were mainly investigated and implemented. We obtained more precise data by corning camera's distortion, compensating slit-beam error and revising acquired image. Much more, we made similar curves or surface with B-spline approximation for precision. Until now, there have been many case study of shape recognition. But it was uncompatible to apply to the field, because it had taken too many processing time and has frequent recognition failure. This paper propose recognition algorithm that prevent such errors and give applications to the field.

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The 3 Dimension Accuracy Analysis of Human Body Using the Digital Image (수치영상에 의한 인체형상의 3차원 정확도 분석)

  • Kang, Joon-Mook;Bae, Sang-Ho;Joo, Young-Eun
    • Journal of Korean Society for Geospatial Information Science
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    • v.5 no.2 s.10
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    • pp.111-119
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    • 1997
  • The precise measurement and the construction of analysis system for human body is very important in human engineering fields. As this study is about to the accuracy improvement of digital image for human body monitoring, we apply the optimum exposure condition which is decided through the accuracy analysis of digital images those are acquired at the various exposure station to the human body model. We acquired digital data in 1mm accuracy and carried out various spatial analyses. We expect tile results of this study to offer the fundamental source data for the human engineering fields.

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COMMUNITY-GENERATED ONLINE IMAGE DICTORNARY

  • Li, Guangda;Li, Haojie;Tang, Jinhui;Chua, Tat-Seng
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.178-183
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    • 2009
  • Online image dictionary has become more and more popular in concepts cognition. However, for existing online systems, only very few images are manually picked to demonstrate the concepts. Currently, there is very little research found on automatically choosing large scale online images with the help of semantic analysis. In this paper, we propose a novel framework to utilize community-generated online multimedia content to visually illustrate certain concepts. Our proposed framework adapts various techniques, including the correlation analysis, semantic and visual clustering to produce sets of high quality, precise, diverse and representative images to visually translate a given concept. To make the best use of our results, a user interface is deployed, which displays the representative images according the latent semantic coherence. The objective and subjective evaluations show the feasibility and effectiveness of our approach.

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Development of Laser Vision Sensor with Multi-line for High Speed Lap Joint Welding

  • Sung, K.;Rhee, S.
    • International Journal of Korean Welding Society
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    • v.2 no.2
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    • pp.57-60
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    • 2002
  • Generally, the laser vision sensor makes it possible design a highly reliable and precise range sensor at a low cost. When the laser vision sensor is applied to lap joint welding, however. there are many limitations. Therefore, a specially-designed hardware system has to be used. However, if the multi-lines are used instead of a single line, multi-range data .:an be generated from one image. Even under a set condition of 30fps, the generated 2D range data increases depending on the number of lines used. In this study, a laser vision sensor with a multi-line pattern is developed with conventional CCD camera to carry out high speed seam tracking in lap joint welding.

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New Shot Boundary Detection Using Local $X^2$-Histogram and Normalization (지역적 $X^2$-히스토그램과 정규화를 이용한 새로운 샷 경계 검출)

  • Shin, Seong-Yoon
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.2 s.46
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    • pp.103-109
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    • 2007
  • In this paper, we detect shot boundaries using $X^2$-histogram comparison method which have enough spatial information that is more robust to the camera or object motion and produce more precise results. Also, we present normalization method to change Log-Formula and constant that is used for contrast enhancement of image in image processing and apply in difference value. And, present shot boundary detection algorithm to detect shot boundary based on general shot and abrupt shot's characteristic.

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High speed seam tracking system using vision sensor with multi-line laser (다중 레이저 선을 이용한 비전 센서를 통한 고속 용접선 추적 시스템)

  • 성기은;이세헌
    • Proceedings of the KWS Conference
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    • 2002.05a
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    • pp.49-52
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    • 2002
  • A vision sensor measure range data using laser light source, This sensor generally use patterned laser which shaped single line. But this vision sensor cannot satisfy new trend which needs faster and more precise processing. The sensor's sampling rate increases as reduced image processing time. However, the sampling rate can not over 30fps, because a camera has mechanical sampling limit. If we use multi line laser pattern, we will measure multi range data in one image. In the case of using same sampling rate camera, number of 2D range data profile in one second is directly proportional to laser line's number. For example, the vision sensor using 5 laser lines can sample 150 profiles per second in best condition.

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A Study on the Micro-Focus X-Ray Inspection for Confirming the Soundness of End Closure Weld of DUPIC Fuel Elements (DUPIC 핵연료봉 봉단 용접부 건전성 확인을 위한 미세초점 X-선 투과시험에 관한 연구)

  • 김웅기;김수성;이정원;양명승
    • Journal of Welding and Joining
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    • v.19 no.1
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    • pp.88-94
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    • 2001
  • DUPIC (Direct use of spent PWR fuel in CANDU reactors) nuclear fuel is a CANDU fuel fabricated remotely from spent PWR fuel materials in a hot cell. The soundness of the end closure welds of nuclear fuel elements is an important factor for the safety and performance of nuclear fuel. To evaluate the soundness of the end closure welds of DUPIC fuel element, a precise X-ray inspection system is developed using a micro-focus X-ray generator with an image intensifier and a real time camera system. The fuel elements made of Zircaloy-4 and stainless steel by an Nd:YAG laser welding and a TIG welding aye inspected by the developed inspection system. The soundness of the welds of the fuel elements was confirmed by the X-ray inspection process, and the irradiation test of DUPIC fuel elements has been successfully completed at the HANARO research reactor.

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EUVL Mask Defect Isolation and Repair using Focused Ion Beam (Focused Ion Beam을 이용한 EUVL Mask Defect Isolation 및 Repair)

  • 김석구;백운규;박재근
    • Journal of the Semiconductor & Display Technology
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    • v.3 no.2
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    • pp.5-9
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    • 2004
  • Microcircuit fabrication requires precise control of impurities in tiny regions of the silicon. These regions must be interconnected to create components and VLSI circuits. The patterns to define such regions are created by lithographic processes. In order to image features smaller than 70 nm, it is necessary to employ non-optical technology (or next generation lithography: NGL). One such NGL is extreme ultra-violet lithography (EUVL). EUVL transmits the pattern on the wafer surface after reflecting ultra-violet through mask pattern. If particles exist on the blank mask, it can't transmit the accurate pattern on the wafer and decrease the reflectivity. It is important to care the blank mask. We removed the particles on the wafer using focused ion beam (FIB). During removal, FIB beam caused damage the multi layer mask and it decreased the reflectivity. The relationship between particle removal and reflectivity is examined: i) transmission electron microscope (TEM) observation after particle removal, ii) reflectivity simulation. It is found that the image mode of FIB is more effective for particle removal than spot and bar mode.

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