• Title/Summary/Keyword: Precision image processing system

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Vision System for Precision Dimensional Inspection of Bicycle Frames (자전거프레임 형상 정밀측정을 위한 비젼 시스템)

  • 여인재;박희재
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.04b
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    • pp.389-395
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    • 1995
  • The bicycle production process mainly consists of welding process of pipes and its quality is determined by geometrical symmetry of arrangement of welded pipes. Hence, manual quality control of bicycle frames was very ineffecient and required much time in dimensional inspection and does not reserve high precision. In this paper we introduce a method of fast and accurate dimensional inspection of bicycle frame, using the Stereo Vision system and related some image processing techniques.

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Implementation of Object Feature Extraction within Image for Object Tracking (객체 추적을 위한 영상 내의 객체 특징점 추출 알고리즘 구현)

  • Lee, Yong-Hwan;Kim, Youngseop
    • Journal of the Semiconductor & Display Technology
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    • v.17 no.3
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    • pp.113-116
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    • 2018
  • This paper proposes a mobile image search system which uses a sensor information of smart phone, and enables running in a variety of environments, which is implemented on Android platform. The implemented system deals with a new image descriptor using combination of the visual feature (CEDD) with EXIF attributes in the target of JPEG image, and image matching scheme, which is optimized to the mobile platform. Experimental result shows that the proposed method exhibited a significant improved searching results of around 80% in precision in the large image database. Considering the performance such as processing time and precision, we think that the proposed method can be used in other application field.

A High-Speed Image Processing Algorithm Based on Facet Filter for Small Missile Detection (소형 미사일 탐지를 위한 Facet 기반의 고속 영상처리 기법)

  • Kim, Ji-Eun
    • Journal of the Korea Institute of Military Science and Technology
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    • v.12 no.4
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    • pp.500-507
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    • 2009
  • This paper presents a novel method which can detect a target in IR image for active protection system. The target in IR image for the active protection system is small, moreover it moves with enormous speed. The proposed algorithm is comprised of robust clutter rejection methods and target optimized detection algorithms for small target, and an advanced method of selecting a final target position in target area, it can work in some milliseconds. The proposed algorithm provides the active protective system with more correct positions than those of radar, so that helps the active protection system can defense all threats with the utmost precision.

A Swine Management System for PLC baed on Integrated Image Processing Technique (통합 이미지 처리기법 기반의 PLF를 위한 Swine 관리 시스템)

  • Arellano, Guy;Cabacas, Regin;Balontong, Amem;Ra, In-Ho
    • Smart Media Journal
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    • v.3 no.1
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    • pp.16-21
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    • 2014
  • The demand for food rises proportionally as population grows. To be able to achieve sustainable supply of livestock products, efficient farm management is a necessity. With the advancement in technology it also brought innovations that could be harness in order to achieve better productivity in animal production and agriculture. Precision Livestock Farming (PLF) is a budding concept of making use of smart sensors or available devices to automatically and continuously monitor and manage livestock production. With this concept, this paper introduces a swine management system that integrates image processing technique for weight monitoring. This system captures pig images using camera, evaluate and estimate the weight base on the captured image. It is comprised of Pig Module, Breeding Module, Health and Medication Module, Weighr Module, Data Analysis Module and Report Module to help swine farm administrators better understand the performance and situation of the swine farm. This paper aims to improve the management in both small and big livestock raisers.

A Study on the Bore-Sighting Automation for Small Arms Using the Image Processing (영상처리기법을 이용한 소화기 조준감사 자동화에 관한 연구)

  • Yeo, Woon-Joo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.9 no.3
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    • pp.5-11
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    • 2006
  • This paper is launched to get an exact bore-sighting value in the process of assembling for a dual-barrel weapon. Image processing method with a CCD(Charged Coupled Device) camera is chosen for the error reduction of bore-sighting. The results of this method by using a CCD camera and the testing target method are described in this paper. After the performance of the dual-barrel weapon and that of the fire-control system in the dual barrel weapon system is confirmed, the bore-sighting which is a part of the process in the system assembly is accomplished. In this process, the position of the barrel is identified by using the testing target method that is an existing bore-sighting method. Then, the fixing line of the fire-control system is checked by a day-optical part. The precision of the bore-sighting is required within several mils, however the manual method using the naked eyes makes it worse. Therefore, a CCD camera is installed in the eyepieces. Next, we can get an image of the sighting and the center coordinate values of the laser-pointer from each barrel by image processing method. A required bore-sighting value is calculated from the eccentricity of the center coordinate. Finally, It can be applied to adopt this result in the assembling process of the dual-barrel weapon.

The Implementation of the Realtime Visual Tracking of Moving Terget by using Kalman Filter (칼만필터를 이용한 이동 목표물의 실시간 시각추적의 구현)

  • 임양남;방두열;이성철
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.04a
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    • pp.254-258
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    • 1996
  • In this paper, we proposed realtime visual tracking system of moving object for 2D target using extended Kalman Filter Algorithm. A targeting marker are recongnized in each image frame and positions of targer object in each frame from a CCD camera while te targeting marker is attached to the tip of the SCARA robot hand. After the detection of a target coming into any position of the field-of-view, the target is tracked and always made to be located at the center of target window. Then, we can track the moving object which moved in inter-frames. The experimental results show the effectiveness of the Kalman filter algorithm for realtime tracking and estimated state value of filter, predicting the position of moving object to minimize an image processing area, and by reducing the effect by quantization noise of image

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Flame Image Analysis Systems for Combustion Conditions Monitoring (연소상태 감시용 화염 영상분석 시스템)

  • 백운보;한성현
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.499-502
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    • 2003
  • Increase energy costs have placed demands for improved combustion efficiency, high equipment availability, low maintenance and safe operation. Simultaneously low NOx modification, installed due to stricter environmental legislation, require very careful combustion management. We aimed at gaining the relationship between burner flame image and emissions such as NOx and unburned carbon in furnace by utilizing the image processing method. For the first step of development, its possibility test was undertaken with bench furnace. The test proceeded to the second step with pilot furnace, the system was observed to be effective for evaluating the combustion conditions. By using this technology, it is possible to perform continuous monitoring of the combustion conditions and instant detection of individual changes for each burner to prevent future loss of ignition.

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Content Based Image Retrieval System using Histogram Intersection and Autocorrelogram (히스토그램 인터섹션과 오토코릴로그램을 이용한 내용기반 영상검색 시스템)

  • 송석진;김효성;이희봉;남기곤
    • Journal of the Institute of Convergence Signal Processing
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    • v.3 no.1
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    • pp.1-7
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    • 2002
  • In this paper, when users choose a query image, we implemented a content-based image retrieval system that users can simply choose and extract a object region of query wanted with not only a whole image but various objects in it. Histogram is obtained by improved HSV transformations from query image and then candidate images are retrieved rapidly by a 1st similarity measure with histogram intersection using representative colors of query image. And finally retrieved images are extracted since 2nd similarity measure with banded autocorrelogram is performed so that recall and precision are improved by combining two retrieval methods that can make up for respective weak points. Moreover images in the database are indexed automatically within feature library that makes possible to retrieve images rapidly.

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디지탈 화상처리를 이용한 사출제품의 길이측정용 시각검사시스템 개발에 관한 연구

  • 김재열;박환규;오보석
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.04a
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    • pp.281-285
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    • 1996
  • In this paper, I made visual inspection system using Vision Board and it is consist of an illuminator (a fluorescent lamp), image input device(CCD(Charge)Coupled Device) camera), image processing system(Vision Board(FARAMVB-02), image output device(videomonitor, printer), a measuring instrument(TELMN1000). Length measurement by visual inspection system is used 100mm gauge block instead of calculating distance between camera and object, it measured horizontal and vertical length factor from 400mm to 650mm by increasing 50mm. In this place, measured horizontal and vertical length factor made use of length measurement of a injection. A measuring instrument used to compare a measured length of a injection visual inspection system with it. In conclusion, length measurement of a injection compared a measuring instrument withvisual inspecion system using length factor of 100mm guage block. Maximum error of length compared two devices a measuring instrument with visual inspection system is 0.55mm. And operation program is made up Borland C++ 3.1. By changing, it is applied to various uses.

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A real-time vision system for SMT automation

  • Hwang, Shin-Hwan;Kim, Dong-Sik;Yun, Il-Dong;Choi, Jin-Woo;Lee, Sang-Uk;Choi, Jong-Soo
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10b
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    • pp.923-928
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    • 1990
  • This paper describes the design and implementation of a real-time, high-precision vision system and its application to SMT(surface mounting technology) automation. The vision system employs a 32 bit MC68030 as a main processor, and consists of image acquisition unit. DSP56001 DSP based vision processor, and several algorithmically dedicated hardware modules. The image acquisition unit provides 512*480*8 bit image for high-precision vision tasks. The DSP vision processor and hardware modules, such as histogram extractor and feature extractor, are designed for a real-time excution of vision algorithms. Especially, the implementation of multi-processing architecture based on DSP vision processors allows us to employ more sophisticated and flexible vision algorithms for real-time operation. The developed vision system is combined with an Adept Robot system to form a complete SMD system. It has been found that the vision guided SMD assembly system is able to provide a satisfactory performance for SND automation.

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