• Title/Summary/Keyword: Image analyzer

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Automatic Decision-Making on the Grade of 6-Year-Old Fresh Ginseng (Panax ginseng C.A. Meyer) by an Image Analyzer 1. Shape and Weight Analyses according to the Grade of Fresh Ginseng (Image Analyzer를 이용한 수삼등급의 자동판정 I. 수삼등급 별 체형과 중량분석)

  • Kang, Je-Yong;Lee, Myong-Gu;Kim, Yo-Tae
    • Journal of Ginseng Research
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    • v.20 no.1
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    • pp.65-71
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    • 1996
  • This study was undertaken to evaluate the automatic decision-making on the grading of 6-year-old fresh ginseng (Panax ginseng C.A. Meyer) by an image analyzer. The best input method for the 6-year-old fresh ginseng was under condition of a low resolution (128u 128 pixel) and illumination direction from bottom to up (light box). It was possible to identify the main root, lateral root, and rhizome of fresh ginseng by application of OPEN process in a function of an image analyzer. Finally, we developed the grade decision-making programs, GinP-1. The fitness rates for the fresh ginseng standards which were classified by experts were 94.6, 80.6, 81.5, and 100.0% for 1st, 2nd, 3rd, and 4th grade of fresh ginseng, respectively, and the total time of decision-making was about 4.3 seconds per one root. The decision-making time was reduced to 0.8 seconds per one root by enhancemeat of the Image analyzer, which was tested by the technical company of the image analyzer,'Carl Zeiss (Germany). As a result of this study, the automatic decision-making on the grade of fresh gin send by image analyzer seems to have high possibility.

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A Study on the Pulse Doppler System with M-mode Image and Spectrum Analyzer (주파수 해석기와 M-mode 영상을 갖는 펄스 도플러 장치의 개발에 관한 연구)

  • Jeong, Taek-Seob;Park, Sei-Hyun;Kim, Young-Kil
    • Proceedings of the KIEE Conference
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    • 1987.07b
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    • pp.1217-1220
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    • 1987
  • We have developed a Ultra Sound Pulsed Doppler System with two-dimensional M-mode image and Spectrum analyzer. The image of the M-mode is composed of time and depth axes. The Spectrum analyzer shows the spectrum of Doppler signal which represents the velocity component of time dependent blood-flow behavior. The spectrogram using Spectrum analyzer is composed of frequency and amplitude axes. The outputs of the system are audio signals, velocity curves, velocity profiles, M-mode images and spectrogram.

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Automatic Decision-Making on the Grade of 6 Year-Old Fresh Ginseng (Panax ginseng C. A. Meyer) by an Image Analyzer II. Decision of Rusty Root of Ginseng (Image Analyzer를 이용한 수삼등급의 자동판정 II. 수삼의 적변판정)

  • 강제용;이명구
    • Journal of Ginseng Research
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    • v.26 no.1
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    • pp.6-9
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    • 2002
  • This study was undertaken to evaluate the automatic decision-making on the rusty root of fresh ginseng (Panax ginseng C.A. Meyer) by an image analyzer. Critical value of rusty root of ginseng by image analyzing was the percentage of grey value 0∼148 area (G 148) to the total area of grey value 0∼255. And the discriminant formula of rusty root of ginseng as follows; rusty root of ginseng : 6.68$\times$G(148) +3.74, normal ginseng : 2.86$\times$G(148) +9.96, and fitness rates of this formula were 89.8%. Also, we developed the automatic rusty root of decision-making program. As the result of this study, the automatic decision-making on the rusty root of fresh ginseng by an image analyzer seems to have high possibility.

Effective Optical System Design for Biochip Analyzer with CCD Image System (CCD image system을 갖는 유전체칩 분석장치를 위한 효율적인 광학시스템 설계)

  • Bae, Su-Jin;Gang, Uk
    • Proceedings of the KIEE Conference
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    • 2003.11c
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    • pp.488-491
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    • 2003
  • Biochip-based diagnostic technology is an effective, time- and money- saving way. But, biochip analyzer including CCD imaging system has a complete optical system. It is one of reasons that the cost of biochip analyzer is expensive with CCD imaging system. In this paper, We suggested the simple and effective optical system for biochip analyzer with CCD imaging system. It consists of two parts with the same structure but opposite direction. Each part consists of achromatic doublet and meniscus. Suggested optical system has less lenses than existing system and more efficiently.

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Characterization of Interaction between Two Particles/Bubbles Flow with Moving Object Flow Image Analyzer System (MOFIA에 의한 두개 입자/기포간 상호작용에 관한 연구)

  • Choi Hae Man;Monji Hideaki;Matsui Goichi
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.17 no.2
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    • pp.110-116
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    • 2005
  • This paper deals with interaction between two bubbles or particles and flow around them, visualized by a moving object flow image analyzer(MOFIA) consisting of a three-dimensional (3D) moving object image analyzer(MOIA) and two-dimensional particle image velocimetry(PIV). The experiments were carried out for rising bubbles or particles of various densities, sizes, and/or shapes in stagnant water in a vertical pipe. In the MOFIA employed, 3D-MOIA was used to measure particles or bubbles motion and PIV was used to measure fluid flow, The experimental results showed that the interaction was characterized by the shape, size and density of two particles or bubbles.

Development of SV30 Detection Algorithm and Turbidity Assumption Model using Image Analysis Method (이미지 분석기법을 이용한 SV30 자동감지방법 및 탁도 추정 모델 개발)

  • Choi, Soo-Jung;Kim, Ye-Jin;Yoom, Hoon-Sik;Cha, Jae-Hwan;Choi, Jae-Hoon;Kim, Chang-Won
    • Journal of Korean Society of Environmental Engineers
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    • v.30 no.2
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    • pp.168-174
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    • 2008
  • Diagnosis on setteability based on human operator's experimental knowledge, which could be established by long term operation, is a limit factor to construction of automation control system in wastewater treatment plant. On-line SVI(Sludge Volume Index) analyzer was developed which can measure SV30 automatically by image capture and image analysis method. In this paper, information got by settling process was studied using On-line SVI analyzer for better operation & management of WWTPs. First, SV30 detection algorithm was developed using image capture and image analysis for settling test and it showed that automatic detection is feasible even if deflocculation and bulking was occurred. Second, turbidity assessment model was developed using image analysis.

New Method for Real-Time Analysis of Primary Stickies in ONP Recycling Process (신문지 재활용 공정의 일차 점착성 이물질 실시간 정량을 위한 새로운 방법)

  • 김동호;류정용;김용환;송봉근
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.35 no.4
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    • pp.23-33
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    • 2003
  • The possibility of real time analysis about hot melt resins and pressure sensitive adhesives in newsprint stock was investigated by performing comparative tests using conventional image analysis method and real time contaminants analyzer. Based on the test results, the performance of real time contaminants analyzer in terms of detecting primary stickies in newsprint stock could be verified. Real time stickies analysis showed good precision and over-estimation of hot melt resins and under-estimation of pressure sensitive adhesives could be corrected by adapting new method. Real time analysis of primary stickies in the actual newsprint stock also showed good correlation with conventional image analysis and the performance of real time contaminants analyzer could be verified again. Adjustment of the contrast sensitivity of real time contaminants analyzer was enough to set the proper monitoring conditions for primary stickies in newsprint stock.

A Study on Urine Analyzer Using Color Images of Strip (스트립의 컬러영상을 이용한 요 분석기에 관한 연구)

  • Cho, Yong-Hyun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.7
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    • pp.919-923
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    • 2007
  • This paper presents an urine analyzer using color images of strip. An image sensor has been used to acquire an color images. The analyzer has a characteristics which takes a pictures of independent each pad responding to urine items all at once, and outputs the measured urine values by analysing an acquired pad colors. This device measures and analyses 11 urine items, and has a speed-up operation, light weight, small size, and makes accurate observations by processing the measured colors using processor. The urine analyzer transmits the urine items to peripheral devices, personal computers, hospitals, and another places by using a telegraph and a wireless interfaces.

Analysis of infrared thermal image for melting processes of Co-Cr-Mo based alloy using high frequency induction casting machine (치과용 고주파 주조기를 이용한 Co-Cr-Mo계 합금 용해과정의 적외선 열화상 분석)

  • Kang, Hoo-Won;Park, Young-Sik;Hwang, In;Lee, Chang-Ho;Heo, Yong;Won, Yong-Gwan
    • Journal of Technologic Dentistry
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    • v.36 no.3
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    • pp.149-158
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    • 2014
  • Purpose: Dental casting Co-Cr-Mo based alloys of five kinds of ingot type and two kinds of shot type were analyzed the melting processes with heating time of high frequency induction centrifugal casting machine using infrared thermal image analyzer. Methods: When Co-Cr-Mo based alloys were put about 30g/charge in the ceramic crucible of high frequency induction centrifugal casting machine and heat, Infrared thermal image analyzer and IR thermometer indicated these alloys in the crucible were set and operated. Results: The melting temperatures of alloys measuring infrared thermal image analyzer were deviated ${\pm}10^{\circ}C$ compared to those of manufacturing company. On the other hand, the melting time of alloys were differently appeared with the shape of alloys(ingot and shot type). Conclusion: The melting temperatures of dental Co-Cr-Mo based alloys were measured the degree of $1,360{\sim}1410^{\circ}C$ and the heating time with the alloys of ingot and shot type were deviated ${\pm}10sec$.