• Title/Summary/Keyword: 화상 처리

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Fiber Orientation distribution of Injection Molded Product on the Fiber-Reinforced Polymeric Composites (섬유강화 복합재료 사출성형품의 섬유배향상태)

  • Lee, J.J.;Kim, J.W.;Kim, H.;Han, G.Y.;Sim, J.K.;Lee, D.G.
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2004.04a
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    • pp.76-81
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    • 2004
  • Injection molding is the most widely used process fir the industrial forming of plastic articles. During an injection molding process of composites, the fiber-matrix separation and fiber orientation are caused by the flow of molten polymer/fiber mixture. As a result. the product tends to be nonhomogeneous and anisotropic. Hence, it is very important to clarify the relations between separation orientation and injection molding conditions. So far, there is no research on the measurement of fiber orientation using image processing. In this study, the effects of fiber content ratio and molding condition on the fiber orientation-angle distributions are studied experientially. Using the image processing method, the fiber orientation distribution of welding pars in injection-molded products is assessed. And the effects of fiber content and injection mold shapes on the fiber orientation in case of fiber reinforced polymeric composites are studied experimentally.

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A study on the Flat Zone Length of Workpiece at Flexible Disk Grinder Cutting Process Measurement and Prediction using Image Processing (화상처리시스템을 이용한 유연성디스크 절삭가공에서 평면구간 측정 및 예측에 관한 연구)

  • Shin, Kwan Soo;Roh, Dae Ho
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.22 no.3
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    • pp.402-407
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    • 2013
  • In this paper, the image processing for flexible disk grinding and the effect of the grinding conditions on the flat zone length of a workpiece are investigated, with the purpose of automating the grinding process. To accomplish this, three issues should be carefully studied. The first is finding the relationship between the flat zone length and the grinding conditions such as the cutting speed and feeding speed. The second is developing a neural network algorithm to predict the flat zone. The third is developing an image processing algorithm to measure the flat zone length of a workpiece. Slope analysis is used to determine straight and curved sections during the image processing. For verification, the estimated length and the length from the image processing are compared with the length measured by a projector. There is a minimum difference of 1.7% between the predicted and measured values. The results of this paper will be useful in compiling a database for process automation.

Development of a Diagnostic Module Based Maintenance Support Device for Fiber Optic Telecommunication Cable in Overhead Region (고소지역 작업현장에서 공중선 상태 진단 모듈 기반 정비 지원 장치 개발)

  • Kim, Hee-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.4
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    • pp.469-474
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    • 2014
  • Installed on telephone poles laid scrambling to monitor the status of the communication lines, and cost information can provid eadditional information tools to develop systems to support on-site monitoring. Aerial support for a maintenance monitoring module to apply an embedded system, and information processing applications manufactured. In this study, a comprehensive plan in accordance with the government's aerial maintenance work to prevent accidents spread support for the device to immediately take advantage of big cities and aerial maintenance business, Construction worker accused of bias and aims to improve efficiency of maintenance puts.

A Study on the Estimation of the Flat Zone Length by using Image Processing (화상처리를 이용한 유연성디스크 가공 평면구간 측정에 관한 연구)

  • Roh, Dae-Ho;Park, Hwan-Seo;Lee, Hong-Guk;Shin, Kwan-Soo;Yoo, Song-Min
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.19 no.5
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    • pp.672-677
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    • 2010
  • The goal of this study is to simplify the measurement process of the flat zone length produced by a flexible disk grinding system for the process automation. The image of workpiece in the grinding process is obtained, and the cutting speed and the feeding speed are controlled carefully to maximize the flat zone length. The gradient, the inflection point and the length of the line in the image are calculated, and the length is also measured by using a projector. Processing conditions and inversely proportional to flat zone length was changing. The flat zone length is estimated by Neural network algorithm considering the process conditions with the estimated error range as 0.06~3.61%, the Neural network algorithm for the grinding process estimation is found to be useful for building the process automation database.

Development of a Fish Size Grading Machine Using an Image Processing Method (화상처리법을 이용한 어체 크기 선별기의 개발)

  • KIM Sang-Bong;KIM Hwan-Seong;KIM Sung-Kyn;JEON Yang-Bae
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.31 no.3
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    • pp.317-322
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    • 1998
  • Generally, the conventional fish size grading methods just adopt the mechanical technique. So the grading methods have a problem such that the graded fish is easy to hurt on the skin and in the internal organs. In this paper, a fish size grading machine is developed using an image processing method. The grading method is based on the principal axis theorem. The length and projected area of a fish are obtained by getting the principal axis and the product of inertia moment on the captured image of a target fish. The developed machine uses an uncontact technique that the target fishes go through the front side of the CCD camera. So the above stated problem can be improved. The performance of this method is discussed with the experimental results.

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A Study on the Image Processing of Visual Sensor for Weld Seam Tracking in GMA Welding (GMA 용접에서 용접선 추적용 시각센서의 화상처리에 관한 연구)

  • 정규철;김재웅
    • Journal of Welding and Joining
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    • v.18 no.3
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    • pp.60-67
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    • 2000
  • In this study, we constructed a preview-sensing visual sensor system for weld seam tracking in GMA welding. The visual sensor consists of a CCD camera, a diode laser system with a cylindrical lens and a band-pass-filter to overcome the degrading of image due to spatters and/or arc light. To obtain weld joint position and edge points accurately from the captured image, we compared Hough transform method with central difference method. As a result, we present Hough transform method can more accurately extract the points and it can be applied to real time weld seam tracking. Image processing is carried out to extract straight lines that express laser stripe. After extracting the lines, weld joint position and edge points is determined by intersecting points of the lines. Although a spatter trace is in the image, it is possible to recognize the position of weld joint. Weld seam tracking was precisely implemented with adopting Hough transform method, and it is possible to track the weld seam in the case of offset angle is in the region of $\pm15^{\circ}$.

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3 Dimensional Nondestructive Inspection of Cavities Inner Concrete by Ultrasonic Pulse Velocity Method (초음파속도법에 의한 콘크리트 내부공동의 3차원 비파괴검사)

  • Park, Seok-Kyun;Lee, Won-Hong;Heo, Jae-Young
    • Proceedings of the Korea Concrete Institute Conference
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    • 2008.11a
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    • pp.165-168
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    • 2008
  • This study performed the 3-dimensional inspection analysis for cavitation by using the ultrasonic pulse velocity method to detect detailed various cavitations in a concrete test material. The internal-void are made of non-void test material and two types of which a regular square type and a rectangle type that produced through the 3-dimensional cavitation to put into a $500{\ast}500{\ast}500mm$ sized non-reinforced concrete test material. The tomography method for the ultrasonic pulse velocity method was used for the non-destructive test. As a result, this study has found that it is possible to visualize the cavitation as an image, and to analyze the internal-void in detail by the non-destructive method.

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Topographical Analysis of the Rubbed Surface using Fractal Dimension (프랙탈 차원을 이용한 마찰면의 형상특징 해석)

  • Park, Heung-Sik;Kim, Yeong-Hui;Jeon, Tae-Ok;Jo, Yeon-Sang;Mun, Byeong-Ju
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.11
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    • pp.1737-1742
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    • 2001
  • The fractal-based method for describing rubbed surface texture has aroused great interest. The determination of rubbed surface topography is believed to be extremely important in the areas of contact mechanics, adhesion and friction. In order to describe topography of the rubbed surface, the wear test was carried out with annular surfaces of wear testing specimens in dry friction. furthermore, the relation between the fractal dimensions and the frictional conditions are also investigated and fractal descriptors was applied to rubbed surface with image processing. Fractal dimension can be determined by sum of intensity difference of image surface pixel. Fractal dimension increased according as the applied load and sliding distance increase. Topography of the rubbed surface can be effectively obtained by fractal dimensions.

Fiber Orientation of Short Fiber Reinforced Polymeric Composites Depending on Injection Mold Shape Variations (단섬유강화 고분자 복합재료에서 사출성형 형상금형 형상변화에 따른 섬유배향상태)

  • Kim, Hyuk;Han, Gil-Young;Lee, Dong-Gi
    • Proceedings of the KSME Conference
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    • 2001.11a
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    • pp.778-784
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    • 2001
  • Injection molding is a very important industrial process for the manufacturing of plastics objects. During an injection molding process of composites, the fiber-matrix separation and fiber orientation are caused by the flow of molten polymer/fiber mixture. As a result, the product tends to be nonhomogeneous and anisotropic. Hence, it is very important to clarify the relations between separation orientation and injection molding conditions. So far, there is no research on the measurement of fiber orientation using image processing. In this study, the effects of fiber content ratio and molding condition on the fiber orientation-angle distributions are studied experimentally. Using the image processing method, the fiber orientation distribution of weld-line parts in injection-molded products is assessed. And the effects of fiber content and injection molding conditions on the fiber orientation functions are also discussed.

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A study on the Automatic Detection of the Welding Dimension Defect of Steel Construct using Digital Image Processing (디지털 화상처리에 의한 강.구조물의 용접부 치수 결함 검출의 자동화에 관한 연구)

  • Kim, Jae-Yeol;You, Sin;Park, Ki-Hyung
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.8 no.3
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    • pp.92-99
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    • 1999
  • The inspection unit which is developed and used in this study, is processed the shape data from the CCD camera to seek welding bite section shape, and then calculated as a real dimension from measuring the value of each inspection item. The reason of measuring with the real in this study is came out from the image method which used for a long time, which is extricated the characteristic as the dimension of pixel by recognize pixel. The measurement method of the section shape is that we decide the thresholding value after we drew the histogram to binarizate the object. After that, we make flat the object to get rid of the noise and measure the shape of welded part through the boundarization of the object. The shape measurement is that measure the value of the welding part to adapt the actual operation program from using the ratio between the actual dimension of the standard specimen and the dimension of image, to measure the ratio between the actual product and the camera image. The inspection algorithm which estimates the quality of welded product is developed and also, the software GUI(Graphic User Interface) which processes the automatic test function of the inspection system is developed. We make the foundation of the inspection automatic system and we will help to apply other welding machine.

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