• Title, Summary, Keyword: image processing

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A Study on Architecture of Real Time Image Processing System (실시간 영상처리 시스템 구성에 관한 연구)

  • 백남칠;우동민;김영일;최호현
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.37 no.4
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    • pp.240-250
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    • 1988
  • This pc-vision system digitizes/displays 512*512*8 bit pixel image in real time and is capable of the various image processing. This system provides a versatile solution to those users pursuing high performance image processing system compatible with the VME bus, and is general purpose imaging system giving the optimal efficiency for machine vision, medical use and various task. In this paper, Image processing technique has classified image enhancement and image analysis in order to design and implement the pc-vision system. In order to improve processing speed, This system unilizing ROI processing performs point operation, local operation and global operation as well as common arithmetic/logic operation in real time.

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Scale Invariant Auto-context for Object Segmentation and Labeling

  • Ji, Hongwei;He, Jiangping;Yang, Xin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.8
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    • pp.2881-2894
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    • 2014
  • In complicated environment, context information plays an important role in image segmentation/labeling. The recently proposed auto-context algorithm is one of the effective context-based methods. However, the standard auto-context approach samples the context locations utilizing a fixed radius sequence, which is sensitive to large scale-change of objects. In this paper, we present a scale invariant auto-context (SIAC) algorithm which is an improved version of the auto-context algorithm. In order to achieve scale-invariance, we try to approximate the optimal scale for the image in an iterative way and adopt the corresponding optimal radius sequence for context location sampling, both in training and testing. In each iteration of the proposed SIAC algorithm, we use the current classification map to estimate the image scale, and the corresponding radius sequence is then used for choosing context locations. The algorithm iteratively updates the classification maps, as well as the image scales, until convergence. We demonstrate the SIAC algorithm on several image segmentation/labeling tasks. The results demonstrate improvement over the standard auto-context algorithm when large scale-change of objects exists.

A Study on Life Estimate of Insulation Cable for Image Processing of Electrical Tree (전기트리의 영상처리를 이용한 절연케이블의 수명예측에 관한 연구)

  • 정기봉;김형균;김창석;최창주;오무송;김태성
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • pp.319-322
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    • 2001
  • The proposed system was composed of pre-processor which was executing binary/high-pass filtering and post-processor which ranged from statistic data to prediction. In post-processor work, step one was filter process of image, step two was image recognition, and step three was destruction degree/time prediction. After these processing, we could predict image of the last destruction timestamp. This research was produced variation value according to growth of tree pattern. This result showed improved correction, when this research was applied image Processing. Pre-processing step of original image had good result binary work after high pass- filter execution. In the case of using partial discharge of the image, our research could predict the last destruction timestamp. By means of experimental data, this Prediction system was acquired ${\pm}$3.2% error range.

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Automated measurement of tool wear using an image processing system

  • Sawai, Nobushige;Song, Joonyeob;Park, Hwayoung
    • 제어로봇시스템학회:학술대회논문집
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    • pp.311-314
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    • 1995
  • This paper presents a method for measuring tool wear parameters based on two dimensional image information. The tool wear images were obtained from an ITV camera with magnifying and lighting devices, and were analyzed using image processing techniques such as thresholding, noise filtering and boundary tracing. Thresholding was used to transform the captured gray scale image into a binary image for rapid sequential image processing. The threshold level was determined using a novel technique in which the brightness histograms of two concentric windows containing the tool wear image were compared. The use of noise filtering and boundary tracing to reduce the measuring errors was explored. Performance tests of the measurement precision and processing speed revealed that the direct method was highly effective in intermittent tool wear monitoring.

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Implementation of Simulator Control System using Embedded System and Motion Parameter Extraction (임베디드 시스템을 이용한 모션 벡터 추출 및 시뮬레이터 제어기의 설계)

  • 최용호;이희만;박상조
    • Proceedings of the Korea Contents Association Conference
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    • pp.181-184
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    • 2003
  • In the past, the image processing system is independently implemented and has a limit in its application to a degree of simple display. The scope of present image processing system is diversely extended in its application owing to the development of image processing It chips. In this paper, we implement the image processing system operated independently without PC by converting analogue image signals into digital signals. In the proposed image processing system, we extract the motion parameters from analogue image signals and generate the virtual movement to Simulator. Also we analysis the image control algorithm and operate Simulator by extracting motion parameters.

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Implementation of Process System and Intelligent Monitoring Environment using Neural Network

  • Kim, Young-Tak;Kim, Gwan-Hyung;Kim, Soo-Jung;Lee, Sang-Bae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.1
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    • pp.56-62
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    • 2004
  • This research attempts to suggest a detecting method for cutting position of an object using the neural network, which is one of intellectual methods, and the digital image processing method. The extraction method of object information using the image data obtained from the CCD camera as a replacement of traditional analog sensor thanks to the development of digital image processing. Accordingly, this research determines the threshold value in binary-coding of an input image with the help of image processing method and the neural network for the real-time gray-leveled input image in substitution for lighting; as a result, a specific position is detected from the processed binary-coded image and an actual system designed is suggested as an example.

Development of Very Large Image Data Service System with Web Image Processing Technology

  • Lee, Sang-Ik;Shin, Sang-Hee
    • Proceedings of the KSRS Conference
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    • pp.1200-1202
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    • 2003
  • Satellite and aerial images are very useful means to monitor ecological and environmental situation. Nowadays more and more officials at Ministry of Environment in Korea need to access and use these image data through networks like internet or intranet. However it is very hard to manage and service these image data through internet or intranet, because of its size problem. In this paper very large image data service system for Ministry of Environment is constructed on web environment using image compression and web based image processing technology. Through this system, not only can officials in Ministry of Environment access and use all the image data but also can achieve several image processing effects on web environment. Moreover officials can retrieve attribute information from vector GIS data that are also integrated with the system.

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Image Processing using Thermal Infrared Image (열적외선 이미지를 이용한 영상 처리)

  • Jeong, Byoung-Jo;Jang, Sung-Whan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.7
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    • pp.1503-1508
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    • 2009
  • This study applied image processing techniques, constructed to real-time, to thermal infrared camera image. Thermal infrared image data was utilized for hot mapping, cool mapping, and rainbow mapping according to changing temperature. It was histogram image processing techniques so that detected shade contrast function of the thermal infrared image, and the thermal infrared image's edge was extracted to classification of object. Moreover, extraction of temperature from image was measured by using the image information program.

Usefulness in Evaluation of NM Image which It Follows in Onco. Flash Processing Application (Onco. Flash Processing 적용에 따른 핵의학 영상의 유용성 평가)

  • Kim, Jung-Soo;Kim, Byung-Jin;Kim, Jin-Eui;Woo, Jae-Ryong;Kim, Hyun-Joo;Shin, Heui-Won
    • The Korean Journal of Nuclear Medicine Technology
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    • v.12 no.1
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    • pp.13-18
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    • 2008
  • Purpose: The image processing method due to the algorism which is various portion nuclear medical image decision is important it makes holds. The purpose of this study is it applies hereupon new image processing method SIEMENS (made by Pixon co.) Onco. flash processing reconstruction and the comparison which use the image control technique of existing the clinical usefulness it analyzes with it evaluates. Materials & Methods: 1. Whole body bone scan-scan speed 20 cm/min, 30 cm/min & 40 cm/min blinding test 2. Bone static spot scan-regional view 200 kcts, 400 kcts for chest, pelvis, foot blinding test 3. 4 quadrant-bar phantom-20000 kcts visual evaluation 4. LSF-FWHM resolution comparison ananysis. Results: 1. Raw data (20 cm/min) & processing data (30 cm/min)-similar level image quality 2. Low count static image-image quality clearly improved at visual evaluation result. 3. Visual evaluation by quadrant bar phantom-rising image quality level 4. Resolution comparison evaluation (FWHM)-same difference from resolution comparison evaluation Conclusion: The study which applies a new method Onco. flash processing reconstruction, it will be able to confirm the image quality improvement which until high level is clearer the case which applies the method of existing better than. The new reconstruction improves the resolution & reduces the noise. This enhances the diagnostic capabilities of such imagery for radiologists and physicians and allows a reduction in radiation dosage for the same image quality. Like this fact, rising of equipment availability & shortening the patient waiting move & from viewpoint of the active defense against radiation currently becomes feed with the fact that it will be the useful result propriety which is sufficient in clinical NM.

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Implementation of Infrared Thermal Image Processing System for Disaster Monitoring (재난 감시를 위한 적외선 열화상 처리 시스템의 구현)

  • Kim, Won-Ho;Kim, Dong-Keun
    • Journal of the Institute of Convergence Signal Processing
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    • v.11 no.1
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    • pp.9-12
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    • 2010
  • This paper presents design and implementation of infrared thermal image processing system based on the digital media processor for disaster monitoring. The digital thermal image processing board is designed and implemented by using commercial chips such as DM642 processor and video encoder, video decoder. The implemented functions for disaster monitoring are to analyze temperature distribution of a monitoring infrared thermal image and to detect disaster situation such as fire. For the input of infrared thermal image processing system, an infrared camera of type of the $320\;{\times}\;240\;{\mu}$-bolometer is used. The required functions are confirmed with 10 frame/second of processing performance by testing of the prototype and Practicality of the system was verified.