• 제목, 요약, 키워드: image processing

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레이다아 영상의 디지털 영화처리 (Digital Image Processing of Radar Image)

  • 손진현;홍창홍;류대근;김동일;김기문
    • 한국항해학회지
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    • v.13 no.1
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    • pp.11-20
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    • 1989
  • Radar image data were collected through the on-line data acquisition system of A/D converter and personal computer, and the image was restorated on CRT or plotter after digital image processing of the data. The digital image processing system which was developed for this study, consisted of some kinds of software as follows : rearrangement, transformation, and enhancement of the image data in real space or frequency space by Fourier transform, edge detection of the image, compact processing, state inferential processing, and so on. Since the image of PPI radar sweeps from the center to the circumference of a circle, the image within a given period has the shape of fan. Therefore the acquired data were transformed to have the same interval as that of data in outmost concentricity. The results of various image processing methods using transformed data were better than those of the methods using original data.

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영상처리를 위한 SIMT 기반 Image Signal Processor 구현 (Implementation of the SIMT based Image Signal Processor for the Image Processing)

  • 황윤섭;전희경;이관호;이광엽
    • 전기전자학회논문지
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    • v.20 no.1
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    • pp.89-93
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    • 2016
  • 본 논문에서는 다양한 영상 전처리 알고리즘들을 적용할 수 있고, 영상 인식과 같이 ISP 응용 프로그램을 병렬로 처리 가능한 SIMT(Single Instruction Multiple Threads) 기반 Image Signal Processor를 제안하였다. 기존의 ISP는 입력 영상의 품질 개선을 위하여 영상 개선 알고리즘이 하드웨어로 설계되어 처리 속도는 빠르지만 다양한 영상 처리 알고리즘에 따라 성능 최적화에 어려움이 있었다. 제안한 ISP는 명령어를 기반으로 한 프로세서로서 다양한 영상 처리 알고리즘을 수행하고 SIMT 구조를 적용하여 알고리즘을 병렬로 수행해 성능을 개선하였다. 제안하는 ISP를 검증하기 위해 Xilinx Virtex-7을 탑재한 VC707 Board를 사용하였으며 cell multicore processor와 비교했을 경우 수행시간이 약 71%, ARM Cortex-A9과 ARM Cortex-A15와 비교하였을 경우 각각 63%, 33% 성능을 개선하였다.

DEVELOPMENT OF ROI PROCESSING SYSTEM USING QUICK LOOK IMAGE

  • Ahn, Sang-Il;Kim, Tae-Hoon;Kim, Tae-Young;Koo, In-Hoi
    • 대한원격탐사학회:학술대회논문집
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    • pp.526-529
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    • 2007
  • Due to its inherent feature of high-resolution satellite, there is strong need in some specific area to minimize the processing time required to get a standard image on hand from downlink signal acquisition. However, in general image processing system, it takes considerable time to get image data up to certain level from raw data acquisition because the huge amount of data is dealt sequentially as input data. This paper introduces the high-speed image processing system which generates the image data only for the area selected by user. To achieve the high speed performance, this system includes Quick Look Image display function with sampling, ROI selection function, Image Line Index function, and Distributed processing function. The developed RPS was applied to KOMPSAT-2 320Mbps downlink channel and its effectiveness was successfully demonstrated. This feature to provide the image product very quickly is expected to promote the application of high resolution satellite image.

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영상처리기법을 이용한 표면균열길이 측정 (Measurement of Surface Crack Length Using Image Processing Technology)

  • 남승훈;김용일;김시천;류대현
    • 대한기계학회:학술대회논문집
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    • pp.96-101
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    • 2001
  • The development of a new experimental method is required to easily observe the growth behavior of fatigue cracks. To satisfy the requirement, an image processing technique was introduced to fatigue testing. The length of surface fatigue crack could be successfully measured by the image processing system. At first, the image data of cracks were stored into the computer while the cyclic loading was interrupted. After testing, crack length was determined using image processing software which was developed by ourselves. Block matching method was applied to the detection of surface fatigue cracks. By comparing the data measured by image processing system with the data measured by manual measurement with a microscope, the effectiveness of the image processing system was established. If the proposed method is used to monitor and observe the crack growth behavior automatically, the time and efforts for fatigue test could be dramatically reduced.

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A Hardware/Software Codesign for Image Processing in a Processor Based Embedded System for Vehicle Detection

  • Moon, Ho-Sun;Moon, Sung-Hwan;Seo, Young-Bin;Kim, Yong-Deak
    • Journal of Information Processing Systems
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    • v.1 no.1
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    • pp.27-31
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    • 2005
  • Vehicle detector system based on image processing technology is a significant domain of ITS (Intelligent Transportation System) applications due to its advantages such as low installation cost and it does not obstruct traffic during the installation of vehicle detection systems on the road[1]. In this paper, we propose architecture for vehicle detection by using image processing. The architecture consists of two main parts such as an image processing part, using high speed FPGA, decision and calculation part using CPU. The CPU part takes care of total system control and synthetic decision of vehicle detection. The FPGA part assumes charge of input and output image using video encoder and decoder, image classification and image memory control.

DEVELOPMENT OF HIGH-RESOLUTION SATELLITE IMAGE PROCESSING SYSTEM BY USING CBD

  • Yoon, Chang-Pak;Seo, Ji-Hoon;Kim, Kyung-Ok
    • 대한원격탐사학회:학술대회논문집
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    • pp.49-52
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    • 2002
  • High-resolution satellite image processing software should be able to ensure accurate, fast, compact data processing in offline or online environment. In this paper, component software for high-resolution satellite image processing is developed using OpenGIS components and real-time data processing architecture. The developed component software is composed of three major packages, which are data provide package, user interface package, and fast data processing package. The data provider package encodes and decodes diverse image/vector data formats and give identical data access methods to developers. The user interface package supports menus, toolbars, dialogs, and events to use easier. The fast data processing package follows the OpenGIS's data processing standards, which can deal with several processors as components with standard procedural functionalities.

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도로교통 영상처리를 위한 고속 영상처리시스템의 하드웨어 구현 (An Onboard Image Processing System for Road Images)

  • 이운근;이준웅;조석빈;고덕화;백광렬
    • 제어로봇시스템학회논문지
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    • v.9 no.7
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    • pp.498-506
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    • 2003
  • A computer vision system applied to an intelligent safety vehicle has been required to be worked on a small sized real time special purposed hardware not on a general purposed computer. In addition, the system should have a high reliability even under the adverse road traffic environment. This paper presents a design and an implementation of an onboard hardware system taking into account for high speed image processing to analyze a road traffic scene. The system is mainly composed of two parts: an early processing module of FPGA and a postprocessing module of DSP. The early processing module is designed to extract several image primitives such as the intensity of a gray level image and edge attributes in a real-time Especially, the module is optimized for the Sobel edge operation. The postprocessing module of DSP utilizes the image features from the early processing module for making image understanding or image analysis of a road traffic scene. The performance of the proposed system is evaluated by an experiment of a lane-related information extraction. The experiment shows the successful results of image processing speed of twenty-five frames of 320$\times$240 pixels per second.

Comparison of Common Methods from Intertwined Application in Image Processing

  • Shin, Seong-Yoon;Lee, Hyun-Chang;Rhee, Yang-Won
    • Journal of information and communication convergence engineering
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    • v.8 no.4
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    • pp.405-410
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    • 2010
  • Image processing operations like smoothing and edge detection, and many more are very widely used in areas like Computer Vision. We classify the image processing domain as seven branches-image acquirement and output, image coding and compression, image enhancement and restoration, image transformation, image segmentation, image description, and image recognition and description. We implemented algorithms of gaussian smoothing, laplace sharpening, image contrast effect, image black and white effect, image fog effect, image bright and dark effect, image median filter, and canny edge detection. Such experimental results show the figures respectively.

화상처리에 의한 XLPE의 트리열화관측 (Tree aging observation of XLPE by image processing)

  • 임장섭;김태성;길촌승
    • E2M - 전기 전자와 첨단 소재
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    • v.8 no.5
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    • pp.551-557
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    • 1995
  • For the observation of treeing, a visual measurement with an optical microscope has been used to explain breakdown mechanism in high-voltage systems. The conventional directed visual method of tree aging observation is difficult to measure in short time processing, and it is impossible to analyze on tree degradation area, progressed direction, tree pattern, etc. By using an image processing technique, the tree features which appear immediately after the tree initiation as well as changes in the configuration of the tree can be easily measured and observed than using the conventional visual methods. In this paper, we have developed a tree observating system by using image processing for tree growth, degradation area and other treeing progress. As an experimental result, it can be concluded that the image processing method is a more effective alternative than directed visual observation method. As a matter of fact, it is possible to record the image of tree propagation immediately after its first appearance and explain the characteristics of tree growth froth the computer processing image.

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화소-병렬 영상처리를 위한 포맷 변환기 설계 (Design of Format Converter for Pixel-Parallel Image Processing)

  • 김현기;이천희
    • 한국시뮬레이션학회논문지
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    • v.10 no.3
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    • pp.59-70
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    • 2001
  • Typical low-level image processing tasks require thousands of operations per pixel for each input image. Traditional general-purpose computers are not capable of performing such tasks in real time. Yet important features of traditional computers are not exploited by low-level image processing tasks. Since storage requirements are limited to a small number of low-precision integer values per pixel, large hierarchical memory systems are not necessary. The mismatch between the demands of low-level image processing tasks and the characteristics of conventional computers motivates investigation of alternative architectures. The structure of the tasks suggests employing an array of processing elements, one per pixel, sharing instructions issued by a single controller. In this paper we implemented various image processing filtering using the format converter. Also, we realized from conventional gray image process to color image process. This design method is based on realized the large processor-per-pixel array by integrated circuit technology This format converter design has control path implementation efficiently, and can be utilize the high technology without complicated controller hardware.

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