• Title/Summary/Keyword: Image Board

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Used the Computer Vision System Develop of Algorithm for Aluminium Mill Strip Defect Inspection (컴퓨터 비젼 시스템을 이용한 알루미늄표면 검사 알고리즘 개발)

  • 이용중
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2000.04a
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    • pp.115-120
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    • 2000
  • This study is on the application the image processing algorithm for inspection of the aluminium mill strip surface defect. The image of surface defect data was obtained using the CCD camera with the digital signal board. The edge was found from the difference of pixel intensity between the normal image and defect image. Two step were taken to find the edge in the image processing algorithm. First, noise was removed by using the median filter in the image. Second, the edge was sharpened in detail by using the sharpening convolution filter in the image. Canny algorithm was used to defect the exact edge. The defect section was separated from the original image is to find the coordination point p1 and p2 which include the defect image

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A Study on the polyimide film for Printed Circuit Board (인쇄 회로기관에 이용되는 polyimide film에 관한 연구)

  • 박기형
    • Journal of the Korean Graphic Arts Communication Society
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    • v.15 no.2
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    • pp.15-24
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    • 1997
  • In DTP systems, satisfactory matching the appearance of displayed image on CRT and that of a reproduced binary image is very important. Most halftoning techniques assume that the printed color dots are square. However, most printers produce roughly circular dots. Thus, there is overlap between adjacent dots, and dots accupy adjcent space that should be empty space. These results are because the significant image distortion on the reproduced images. In this paper, we proposed a new tone correction digital halftoning method based on equi-visual perception characteristic.

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A Study on the Improvement of PIV Performance (PIV의 성능개선에 관한 연구)

  • 이영호;김춘식;최장운
    • Journal of Advanced Marine Engineering and Technology
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    • v.18 no.3
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    • pp.34-42
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    • 1994
  • The present study is aimed to improve the PIV performance by suggesting a two-frame particle identification technique and by introducing estimation method of wall pressure distribution from the velocity data. Adopted image processing system consists of one commercial image board slit into a personal computer, 2-D sheet light generator, flow picture recording apparatus and related particle identification software. A revised particle tracking method essential to PIV performance is obtained by particle centroid correlation pairing (CCP) and its effectiveness is ascertained by comparison with multi-frame identification.

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Image Processing Software Package(IMAPRO) for IBM PC VGA (IBM PC VGA용 화상처리 소프트웨어(IMAPRO))

  • 徐在榮;智光薰
    • Korean Journal of Remote Sensing
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    • v.8 no.1
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    • pp.59-69
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    • 1992
  • The IMAPRO sotfware package was mainly focused to provide an algorithm which is capable of displaying various color composite images on IBM PC, VGA(Video Graphic Array) card with no special hardware. It displays the false color images using a low-cost eight-bit place refresh buffer. This produces similar quality to the one obtained from image board with three eight-bit plane. Also, it provides user friendly menu driven method for the user who are not familier with technical knowladge of image processing. It may prove useful for universities, institute and private company where expensive hardware is not available.

2D/3D conversion algorithm on broadcast and mobile environment and the platform (방송 및 모바일 실감형 2D/3D 컨텐츠 변환 방법 및 플랫폼)

  • Song, Hyok;Bae, Jin-Woo;Yoo, Ji-Sang;Choi, Byeoung-Ho
    • 한국정보통신설비학회:학술대회논문집
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    • 2007.08a
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    • pp.386-389
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    • 2007
  • TV technology started from black and white TV. Color TV invented and users request more realistic TV technology. The next technology is 3DTV. For 3DTV, 3D display technology, 3D coding technology, digital mux/demux technology in broadcast and 3D video acquisition are needed. Moreover, Almost every contents now exist are 2D contents. It causes necessity to convert from 2D to 3D. This article describes 2D/3D conversion algorithm and H/W platform on FPGA board. Time difference makes 3D effect and convolution filter increased the effect. Distorted image and original image give 3D effect. The algorithm is shown on 3D display. The display device shows 3D effect by parallax barrier method and has FPGA board.

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A Study on the Development of Radar Signal Detecting & Processor (Radar Signal Detecting & Processing 장치의 개발에 관한 연구)

  • 송재욱
    • Journal of the Korean Institute of Navigation
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    • v.24 no.5
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    • pp.435-441
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    • 2000
  • This paper deals with the development of RACOM(Radar Signal Detecting & Processing Computer). RACOM is a radar display system specially designed for radar scan conversion, signal processing and PCI radar image display. RACOM contains two components; i )RSP(Radar Signal Processor) board which is a PCI based board for receiving video, trigger, heading & bearing signals from radar scanner & tranceiver units and processing these signals to generate high resolution radar image, and ⅱ)Applications which perform ordinary radar display functions such as EBL, VRM and so on. Since RACOM is designed to meet a wide variety of specifications(type of output signal from tranceiver unit), to record radar images and to distribute those images in real time to everywhere in a networked environment, it can be applicable to AIS(Automatic Identification System) and VDR(Voyage Data Recorder).

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Development of Automatic Visual Inspection for the Defect of Compact Camera Module

  • Ko, Kuk-Won;Lee, Yu-Jin;Choi, Byung-Wook;Kim, Johng-Hyung
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2414-2417
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    • 2005
  • Compact Camera Module(CCM) is widely used in PDA, Celluar phone and PC web camera. With the greatly increasing use for mobile applications, there has been a considerable demands for high speed production of CCM. The major burden of production of CCM is assembly of lens module onto CCD or CMOS packaged circuit board. After module is assembled, the CCM is inspected. In this paper, we developed the image capture board for CCM and the imaging processing algorithm to inspect the defects in captured image of assembled CCMs. The performances of the developed inspection system and its algorithm are tested on samples of 10000 CCMs. Experimental results reveal that the proposed system can focus the lens of CCM within 5s and we can recognize various types of defect of CCM modules with good accuracy and high speed.

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Development of Digital Endoscopic Image Processing System (디지탈 내시경 영상처리 시스템의 개발)

  • 송철규;이영묵
    • Journal of Biomedical Engineering Research
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    • v.18 no.2
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    • pp.121-126
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    • 1997
  • Endoscopy has become a crucial diagnostic and therapeutic procedure in clinical areas. Over the past three years, we have developed a computerized system to record and store clinical data pertaining to endoscopic surgery of laparascopic cholecystectomy, pelviscopic endometriosis, and surgical arthroscopy. In this study, we developed a computer system, which is composed of a frame yabber, a sound board, a VCR control board, a LAN card and EDMS(endoscopic data management software. Also, computer system has controled peripheral instruments such as a color video printer, a video cassette recorder, and endoscopic input/output signals(image and doctor's comment). Digital endoscopic data management system is based on open architecture and a set of widely available industry standards, namely: windows 3.1 as a operating system, TCP/IP as a network protocol and a time sequence based database that handles both images and doctor's cotnments. For the purpose of data storage, we used MOD and CD-R. Digital endoscopic system was designed to be able to store, recreate, change, and compress signals and medical images.

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On-Board Satellite MSS Image Compression

  • Ghassemian, Hassan;Amidian, Asghar
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.645-647
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    • 2003
  • In this work a new method for on-line scene segmentation is developed. In remote sensing a scene is represented by the pixel-oriented features. It is possible to reduce data redundancy by an unsupervised segment-feature extraction process, where the segment-features, rather than the pixelfeatures, are used for multispectral scene representation. The algorithm partitions the observation space into exhaustive set of disjoint segments. Then, pixels belonging to each segment are characterized by segment features. Illustrative examples are presented, and the performance of features is investigated. Results show an average compression more than 25, the classification performance is improved for all classes, and the CPU time required for classification is reduced by the same factor.

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