• 제목/요약/키워드: image processing technique

검색결과 1,689건 처리시간 0.032초

레이저 미세피치 홀 가공의 생산효율성 향상을 위한 영상처리 측정 기법 적용 (Application of Image Processing Technique to Improve Production Efficiency of Fine Pitch Hole Based on Laser)

  • 표창률
    • 소성∙가공
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    • 제19권5호
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    • pp.320-324
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    • 2010
  • Multi-Layer Ceramic Circuit(MLCC) in the face of thousands of fine pitch multi hole is processed. However, the fine pitch multi hole has a size of only a few micrometers. Therefore, in order to curtail the measurement time and reduce error, the image processing measurement method is required. So, we proposed an image processing measurement algorithm which is required to accurately measure the fine pitch multi hole. The proposed algorithm gets image of the fine pitch multi hole, extracts object from the image by morphological process, and extracts the parameters of its position and feature by edge detecting process. In addition, we have used the sub-pixel algorithm to improve accuracy. As a result, the proposed algorithm shows 97% test-retest measurement reliability within 2 ${\mu}m$. We found that the algorithm was wellsuited for measuring the fine pitch multi hole.

초소형 스프링 정밀 측정을 위한 디지털 영상 처리 시스템 개발 (Development of System based on Digital Image Processing for Precision Measurement of Micro Spring)

  • 표창률;강성훈;전병희
    • 소성∙가공
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    • 제11권7호
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    • pp.620-627
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    • 2002
  • The purpose of this paper is the development of an automated measurement system for micro spring based on the digital image processing technique. This micro spring can be used in various engineering applications such as filament, load bearing springs, hard disk suspension and many others. Main functionality of the micro spring inspection system is to measure the representative pitch of the micro spring. The derivative operators are used for edge detection in gray level image. Measurement system developed in this paper consisted of new auto feeding mechanism to take advantage of air pressure. In the process of development of the micro spring inspection system based on the image processing and analysis, strong background technology and know-how have been accumulated to measure micro mechanical parts.

다인공구의 파손검출에 관한 연구 (A Study on the Fracture Detection of Multi-Point-Tool)

  • 최영규;유봉환
    • 한국정밀공학회지
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    • 제12권4호
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    • pp.67-77
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    • 1995
  • In modern industry the requirement of automation of manufacturing process increases so that unmanned system has been popular as an ultimate goal of modern manufacturing process. In unmanned manufacturing process the tool fracture is a very serious problem because it results in the damage of workpieces and can stop the operation of whole manufa- turing system. In this study, image processing technique is used to detect the fracture of insert tip of face milling using multi-point-tool. In order to acquire the image information of fracture shape of rotation insert tip. We set up the optical system using a light beam chopper. In this system we can reduce the image degradation generated from stopped image of rotating insert tip using image restoration technique. We calculated the mean square error to diagnose the condition of tool fracture, and determind the criteria of tool fracture using experimental and staticstical method. From the results of this study we've developed non- contact detection technique of tool fracture using image processing method and proposed the fracture direction of automation and unmanned system considering the optimal time of tool change milling.

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Automatic Registration between EO and IR Images of KOMPSAT-3A Using Block-based Image Matching

  • Kang, Hyungseok
    • 대한원격탐사학회지
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    • 제36권4호
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    • pp.545-555
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    • 2020
  • This paper focuses on automatic image registration between EO (Electro-Optical) and IR (InfraRed) satellite images with different spectral properties using block-based approach and simple preprocessing technique to enhance the performance of feature matching. If unpreprocessed EO and IR images from Kompsat-3A satellite were applied to local feature matching algorithms(Scale Invariant Feature Transform, Speed-Up Robust Feature, etc.), image registration algorithm generally failed because of few detected feature points or mismatched pairs despite of many detected feature points. In this paper, we proposed a new image registration method which improved the performance of feature matching with block-based registration process on 9-divided image and pre-processing technique based on adaptive histogram equalization. The proposed method showed better performance than without our proposed technique on visual inspection and I-RMSE. This study can be used for automatic image registration between various images acquired from different sensors.

화상처리법을 이용한 곡면변형률 측정에 관한 연구(II) (A Study on the Measurement of Surface-strain Using the Image Processing Technique(II))

  • 한상준;김영수;김형종;오수익
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 1997년도 추계학술대회논문집
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    • pp.142-146
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    • 1997
  • An automated surface-strain measuring system is developed in the present study, which consists of the hardware to capture and to display digital images and the software to calculate the 3-D informations of grid points. The software is implemented using the image processing technique, and includes a program for the camera calibration and the post-processor to display the strain distribution. An LDH(limitting dome height) test specimen is measured its surface-strain as an application of the present system.

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Development Technique for Dynamic Node Management of Visual Modeler

  • Yoon, C.R.;Kim, K.O.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.1131-1133
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    • 2003
  • Spatial image processing software requires various user interactions to make a plan, prepare necessary data such as images, vectors, ancillary data and user-defined data, execute functions according to pre-defined procedures, analyze and store the results. In this manner, overall processes are controlled by user interactions. In this paper, we propose visual modeler which has the automated spatial image processing technique to minimize user interactions and re -use repeatable procedure. The proposed visual modeler is designed to use inter-operable components proposed by OpenGIS consortium as well as conventional COM components.

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디지털 영상처리 기법을 이용한 동전 분류 및 인식 (Coin Recognition and Classification Using Digital Image Processing)

  • 이정표;이종연;현창호
    • 한국지능시스템학회논문지
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    • 제22권1호
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    • pp.7-11
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    • 2012
  • 본 연구는 USB카메라를 통해서 얻은 동전 영상을 가지고 디지털 영상처리 기법을 적용하여 동전을 인식하고 동전별 분류를 하는 기법을 제안 및 개발한다. 본 작품은 가정에서도 동전을 계산할 때, 쉽고 빠르게 계산할 수 있는 편의성을 제공해 주는 장점을 가지고 있다. 본 작품의 개발을 위해서 USB 카메라를 사용하였고, 동전의 크기 및 색깔별 분류를 위하여 디지털 영상처리 기법을 사용하였다. 마지막으로, 제안한 작품의 완성도 및 신뢰성 검증을 위하여 MATLAB을 이용하여 분류 기준에 따른 정확도를 모의실험 하였고, 또한 MATLAB과 일반 PC를 이용하여 동전 분류 시스템을 제작하였다.

스마트폰 상에서의 3D 애니메이션 영상처리 기법 (Image Processing Technique of the 3D Animation on Smartphone)

  • 류창수;허창우
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2013년도 춘계학술대회
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    • pp.183-185
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    • 2013
  • 모바일 기기의 발달은 기존의 웹상에 적합한 플래쉬 애니메이션이 선풍적인 인기를 끌고 있던 애니메이션은 백터방식으로 화질 열화와 전송용량에 따른 단점을 일부분 해결 했지만 3D 입체 영상 표현이 어려우며 애니메이션 영상표현의 실시간 랜더링과 스마트폰 디바이스 기술이 상업적 요구조건에 부합하여 3D 영상처리 기법의 발전이 요구되고 있다. 본 논문에서는 임베디드 시스템 장치나 스마트폰에서 그래픽 렌더링을 하기 위한 OpenGL Es 2.0 라이브러리로 안드로이드의 뷰 시스템과 OpenGL, M3G을 통한 3차원 그래픽 렌더링이 가능한 3D 애니메이션 영상처리 방법에 관하여 연구하였다.

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A Modified Steering Kernel Filter for AWGN Removal based on Kernel Similarity

  • Cheon, Bong-Won;Kim, Nam-Ho
    • Journal of information and communication convergence engineering
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    • 제20권3호
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    • pp.195-203
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    • 2022
  • Noise generated during image acquisition and transmission can negatively impact the results of image processing applications, and noise removal is typically a part of image preprocessing. Denoising techniques combined with nonlocal techniques have received significant attention in recent years, owing to the development of sophisticated hardware and image processing algorithms, much attention has been paid to; however, this approach is relatively poor for edge preservation of fine image details. To address this limitation, the current study combined a steering kernel technique with adaptive masks that can adjust the size according to the noise intensity of an image. The algorithm sets the steering weight based on a similarity comparison, allowing it to respond to edge components more effectively. The proposed algorithm was compared with existing denoising algorithms using quantitative evaluation and enlarged images. The proposed algorithm exhibited good general denoising performance and better performance in edge area processing than existing non-local techniques.

Development of Automatic Conversion System for Pipo Painting Image Based on Artificial Intelligence

  • Minku, Koo;Jiyong, Park;Hyunmoo, Lee;Giseop, Noh
    • Journal of Information Processing Systems
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    • 제19권1호
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    • pp.33-45
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    • 2023
  • This paper proposes an algorithm that automatically converts images into Pipo, painting images using OpenCV-based image processing technology. The existing "purity," "palm," "puzzling," and "painting," or Pipo, painting image production method relies on manual work, so customized production has the disadvantage of coming with a high price and a long production period. To resolve this problem, using the OpenCV library, we developed a technique that automatically converts an image into a Pipo painting image by designing a module that changes an image, like a picture; draws a line based on a sector boundary; and writes sector numbers inside the line. Through this, it is expected that the production cost of customized Pipo painting images will be lowered and that the production period will be shortened.