• Title/Summary/Keyword: Captured Image

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Automating the visual classification of metal cores (철분 코아(core) 자동 선별기)

  • 박인규;송경호;하태중
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.302-307
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    • 1990
  • An automatic visual classification system is introduced which provides for measuring the length and diameter of coilform cores and dividing them into 5 different classes in terms of how far their length be from the desired length. This task is fully automated by controlling two STEP motors and by using image processing techniques. The classification procedure is broken into three logical parts. Fist, cores in the form of randomly stacked bundle are lined up one by one so as to be well captured by a cameras. The second part involves capturing core image. Then, it enters the measuring process. Finally, this machine would retain all tire information relating to the length. According to the final result, cores are sent to the corresponding bin. This considerably simplifies the selecting task and facilitates a greatly improved reliability in precision. The average classifying capability about 2 pieces per second.

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Development of Welding Quality Inspection System for RV Sinking Seat (RV 차량용 싱킹 시트의 용접 품질 검사 시스템 개발)

  • Yun, Sang-Hwan;Kim, Han-Jong;Kim, Sung-Gaun
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.1
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    • pp.75-80
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    • 2008
  • This paper presents a vision based autonomous inspection system for welding quality control of a RV sinking seat. In order to overcome the precision error that arises from a visible inspection by an operator in the manufacturing process of a RV sinking seat, the machine vision based welding quality control system is proposed. It consists of the CMOS camera and the NI vision system. The geometry of the welding bead, which is the welding quality criteria, is measured by using the captured image with a median filter applied on it. The image processing software for the system was developed using the NI LabVIEW software. The proposed welding quality inspection system for RV sinking seat was verified using experimentation.

Coordinate Calibration of the ODVS using Delta-bar-Delta Neural Network (Delta-bar-Delta 알고리즘을 이용한 ODVS의 좌표 교정)

  • Kim Do-Hyeon;Park Young-Min;Cha Eui-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.3
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    • pp.669-675
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    • 2005
  • This paper proposes coordinates transformation and calibration algorithm using 3D parabolic coordinate transformation and delta-bar-delta neural algorithm for the omni-directional image captured by catadioptric camera. Experimental results shows that the proposed algorithm has accuracy and confidence in coordinate transformation which is sensitive to environmental variables.

CCD-based EPID and Frame Averaging Technique

  • Kim, Ho-Kyung;Cho, Gyu-Seong;Chung, Yong-Hyun;Ahn, Seong-Kyu;Lee, Hyung-Koo;Kim, Hoi-Nam;Yoon, Sei-Chul
    • Proceedings of the KOSOMBE Conference
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    • v.1998 no.11
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    • pp.297-298
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    • 1998
  • Prototype portal imaging device (EPID) based on CCD camera, which has a $20\times20cm^2$ field of view (FOV), has been developed and then tested by acquiring phantom images for 6 MV x-ray beam. While, among the captured images, each frame suffered notorious quantum noise, the frame averaging largely enhanced the image quality against quantum noise. Over 60 frames averaging, the signal-to-noise ratio (SNR) was increased by $\sim20$ times and contrast was increased about 2 times in the skull-region of the acquired head-phantom image.

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3-Dimensional Measurement of the Prismatic Polyhedral Object using Machine Vision. (Machine Vision을 이용한 기둥형 물체의 3차원 측정)

  • 조철규;이석희
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.11a
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    • pp.733-737
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    • 1996
  • This paper presents a method to measure tile position and orientation of a prismatic polyhedral object (of unknown width, length, height, and number of vertices) using machine vision. The width, length, and origin of workplace where an object is lying are defined as Preliminary operation. The edges of an object are detected from captured image using least sum of square error. The information of an object is determined from the geometric relationships between edges. As an user interface, a versatile image processing program is developed in several modules, and renders a very useful 3D measurement at a limited constraints when adopted in automation of production process. The flexibility of camera position from the algorithm developrf can be used for automated pick and place operations and feeding workpiece u: ;ing assembly robot.

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Realization for Each Element for capturing image in Scanning Electron Microscopy (주사 전자 현미경에서 영상 획득에 필요한 구성 요소 구현)

  • Lim, Sun-Jong;Lee, Chan-Hong
    • Laser Solutions
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    • v.12 no.2
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    • pp.26-30
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    • 2009
  • Scanning Electron Microscopy (SEM) includes high voltage generator, electron gun, column, secondary electron detector, scan coil system and image grabber. Column includes electron lenses (condenser lens and objective lens). Condenser lens generates fringe field, makes focal length and control spot size. Focal length represents property of lens. Objective lens control focus. Most of the electrons emitted from the filament, are captured by the anode. The portion of the electron current that leaves the gun through the hole in the anode is called the beam current. Electron beam probe is called the focused beam on the specimen. Because of the lens and aperture, the probe current becomes smaller than the beam current. It generate various signals(backscattered electron, secondary electron) in an interaction with the specimen atoms. In this paper, we describe the result of research to develop the core elements for low-resolution SEM.

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An Improved Method for Detection of Moving Objects in Image Sequences Using Statistical Hypothesis Tests

  • Park, Jae-Gark;Kim, Munchurl;Lee, Myoung-Ho;Ahn, Chei-Teuk
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1998.06b
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    • pp.171-176
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    • 1998
  • This paper resents a spatio-temporal video segmentation method. The algorithm segments each frame of video sequences captured by a static or moving camera into moving objects (foreground) and background using a statistical hypothesis test. In the proposed method, three consecutive image frames are exploited and a hypothesis testing is performed by comparing two means from two consecutive difference images, which results in a T-test. This hypothesis test yields change detection mask that indicates moving areas (foreground) and non-moving areas (background). Moreover, an effective method for extracting object mask form change detection mask is proposed.

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A Study of HDR Software Reliability for the Luminance Map Creation (휘도맵의 작성을 위한 HDRI 생성 도구의 신뢰도에 관한 연구)

  • Hong, Sung-De
    • Journal of The Korean Digital Architecture Interior Association
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    • v.12 no.3
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    • pp.81-89
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    • 2012
  • Luminance is the most important quantity in lighting design and illuminating engineering. There are three methods for measuring luminance; using a conventional luminance meter, through the illuminance measurement and subsequent calculations and using digital imaging photometer. Recently, HDRI(High Dynamic Range Imaging) technique introduces a new method of capturing luminance values in a lighting environment. The radiance maps from HDRI are commonly used as visual environment maps for lighting analysis applications. For the HDRI, HDR software is needed to create HDR image. Currently, there is number of HDR software available. The purpose of this paper is to investigate whether a luminance map can be accurately captured by the various types of HDR software which include HDR Shop and Photoshop. To accomplish this goal a set of experiments was conducted. In order to assess the luminance values of the HDR image from HDR software, the values had to be compared to the ones obtained with conventional methods of luminance measurement.

Design and Verification of Algorithms for the Motion Detection of Vehicles using Hierarchical Motion Estimation and Parallel Processing (계층화 모션 추정법과 병렬처리 기반의 차량 움직임 측정 알고리즘 개발 및 검증1))

  • 강경훈;심현진;이은숙;정성태;남궁문;금기정;이상설
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.21-24
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    • 2002
  • This paper presents a new method for the motion detection of vehicles using hierarchical motion estimation and parallel processing. It captures the road image by using a CMOS sensor. It divides the captured image into small blocks and detects the motion of each block by using a block-matching method which is based on a hierarchical motion estimation and parallel processing for the real-time processing. The parallelism is achieved by using the pipeline and the data flow technique. The proposed method has been implemented with an embedded system. Experimental results show that the proposed method detects the motion of vehicles in real-time.

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A study on the Character of Brush Deburring Grinding System (브러시 디버링 연삭 시스템 특성에 관한 연구)

  • Shin, Kwan-Soo
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.19 no.3
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    • pp.414-418
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    • 2010
  • Due to the increasing demand for carious methodologies to improve the quality of products were introduced. A Brush the most frequently used type of grinding process is one of the deburring. in order to produce consistent burr shape, various machining conditions have been combined and applied to disk grinding process. Between the workpiece and the grinding disc to earn depends on the angle of the slope has been observed. Drastic increase of tool wear has been also observed along the inclination angle variation. Various burr shapes have been captured and analyzed using image processing technique.