• Title/Summary/Keyword: Construction Image

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Construction of Panoramic Image for Efficient Video Browsing (효율적인 비디오 브라우징을 위한 파노라믹 영상 구축)

  • Shin, Seong-Yoon;Park, Ki-Hong;Pyo, Seong-Bae
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.1 s.45
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    • pp.67-72
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    • 2007
  • In this paper, we present a construction method using perspective model which allows for the representation of the motion of a planar surface under perspective projection. The motion parameters are obtained by minimizing a disparity measure between the region in the current frame and the mapped region in the previous frame. The frames are constructed with dynamic panoramic image using a fixed reference or a time varying reference. By experiment, panoramic image proposed in this paper represents contents more efficiently than static image or video, and has a high volume reduction ratio.

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Background Removing for Digital image self-adaptive acquisition in medical X-ray imaging

  • Li, Xun;Kim, Young-Ju;Song, Young-Jun
    • International Journal of Contents
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    • v.4 no.1
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    • pp.12-15
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    • 2008
  • In this paper, we propose a new method of background removing for digital self-adaptive acquisition in medical X-ray imaging. We analysis the construction of video digital acquisition system and main factors of acquired image quality, propose a more efficiency method to against background non-uniformly. With proposed method, non-uniform illumination back ground was well removed without image quality degradation.

A Study on the EO-1 Hyperion's Optimized Band Selection Method for Land Cover/Land Use Map (토지피복지도 제작을 위한 초분광 영상 EO-1 Hyperion의 최적밴드 선택기법 연구)

  • Jang Se-Jin;Lee Ho-Nam;Kim Jin-Kwang;Chae Ok-Sam
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.24 no.3
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    • pp.289-297
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    • 2006
  • The Land Cover/Land Use Map have been constructed from 1998, which has hierarchical structure according to land cover/land use system. Level 1 classification Map have done using Landsat satellite image over whole Korean peninsula. Level II classification Map have been digitized using IRS-1C, 1D, KOMPSAT and SPOT5 satellite images resolution-merged with low resolution color images. Level II Land Cover/Land Use Map construction by digitizing method, however, is consuming enormous expense for satellite image acquisition, image process and Land Cover/Land Use Map construction. In this paper, the possibility of constructing Level II Land Cover/Land Use Map using hyperspectral satellite image of EO-1 Hyperion, which is studied a lot recently, is studied. The comparison of classifications using Hyperion satellite image offering more spectral information and Landsat-7 ETM+ image is performed to evaluate the availability of Hyperion satellite image. Also, the algorithm of the optimal band selection is presented for effective application of hyperspectral satellite image.

Development of an Automatic Classification Model for Construction Site Photos with Semantic Analysis based on Korean Construction Specification (표준시방서 기반의 의미론적 분석을 반영한 건설 현장 사진 자동 분류 모델 개발)

  • Park, Min-Geon;Kim, Kyung-Hwan
    • Korean Journal of Construction Engineering and Management
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    • v.25 no.3
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    • pp.58-67
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    • 2024
  • In the era of the fourth industrial revolution, data plays a vital role in enhancing the productivity of industries. To advance digitalization in the construction industry, which suffers from a lack of available data, this study proposes a model that classifies construction site photos by work types. Unlike traditional image classification models that solely rely on visual data, the model in this study includes semantic analysis of construction work types. This is achieved by extracting the significance of relationships between objects and work types from the standard construction specification. These relationships are then used to enhance the classification process by correlating them with objects detected in photos. This model improves the interpretability and reliability of classification results, offering convenience to field operators in photo categorization tasks. Additionally, the model's practical utility has been validated through integration into a classification program. As a result, this study is expected to contribute to the digitalization of the construction industry.

Development of Crack Monitoring System for Self-healing Repair Mortar Surface Using Image Processing Technique (이미지 처리 기법을 이용한 자기치유 보수 모르타르 시공표면의 균열 모니터링 시스템 개발)

  • Oh, Sang-Hyuk;Moon, Dae-Jung;Lee, Kwang-Myong
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.9 no.3
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    • pp.359-366
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    • 2021
  • In this study, It was developed an monitoring cracks system based on image processing techniques in order to measure cracks, which are major damages in concrete, and to convert them into a database. The crack monitoring system consists of crack image captured equipment and a crack detection and analysis software. This system provides objective and quantitative data by replacing the conventional visual inspection. The crack detection algorithm w as verified through an indoor test using virtual cracks, and the amount of crack detection and crack width change was monitored by applying it to the self-healing repair mortar construction site. In the case of the crack width detected through image analysis, the maximum difference from the actual crack width was 0.0334mm. It was possible to detect microcracks of 0.1mm or less, and the effect of crack healing over time of the self-healing repair mortar was confirmed trough the field test.

Development of Pre-construction Verification System using AR-based Drawings Object (도면증강 객체기반의 건설공사 사전 시공검증시스템 개발 연구)

  • Kim, Hyeonsung;Kang, Leenseok
    • Land and Housing Review
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    • v.11 no.3
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    • pp.93-101
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    • 2020
  • Recently, as a BIM-based construction simulation system, 4D CAD tools using virtual reality (VR) objects are being applied in construction project. In such a system, since the expression of the object is based on VR image, it has a sense of separation from the real environment, thus limiting the use of field engineers. For this reason, there are increasing cases of applying augmented reality (AR) technology to reduce the sense of separation from the field and express realistic VR objects. This study attempts to develop a methodology and BIM module for the pre-construction verification system using AR technology to increase the practical utility of VR-based BIM objects. To this end, authors develop an AR-based drawing verification function and drawing object-based 4D model augmentation function that can increase the practical utility of 2D drawings, and verify the applicability of the system by performing case analysis. Since VR object-based image has a problem of low realism to field engineers, the linking technology between AR object and 4D model is expected to contribute to the expansion of the use of 4D CADsystem in the construction project.

Architectural and Interior Design of Doorae Engineering & Construction Head Office (두레종합건설 본사사옥 설계)

  • Park, Young-Ho
    • Proceedings of the Korean Institute of Interior Design Conference
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    • 2005.05a
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    • pp.271-272
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    • 2005
  • As regards of designing, I chose a simple wall design of repeating pattern of vertical windows, rather than making the building as a glamourous obzet. This kind of approach was intended to pursue strong image of construction company, interchanging and communicating with its confused surrounding. Therefore, I boldly removed parts that I considered needless from the facade, and used simple and easy words clearly implying the organization. Lobby is the face of the building, but since the space is deep and narrow and the reality of lease should be considered, there was limit to give original image to the lobby. Instead, high ceiling is the biggest feature of this space. Doorae Engineering-Construction Corp. is young and energetic company. I wanted to highlight the young and energetic image of the company by crossing tore oblique piece of boards. This doesn't just has a simple function as ceiling, but also work as a major subject in the space. In addition of this powerful space of oblique lines, indirect lighting is used to emphasize the character of territory, continuity and deepness of the space. Character of territory that divides main and supplementary function and main and supplementary moving line is expressed by flow of dimension, and continuity and deepness of space is emphasized by indirect lighting flowing linearly through the crack between the ceiling and the wall.

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The Construction of Quality Inspection System for Sunroof Sealer Application Process Using SVM Algorithm (SVM 알고리즘을 활용한 선루프 실러도포 공정 품질검사 시스템 구축)

  • Yang, Hee-Jong;Jang, Gil-Sang
    • Journal of the Korea Safety Management & Science
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    • v.23 no.3
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    • pp.83-88
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    • 2021
  • Recently, due to the aging of workers and the weakening of the labor base in the automobile industry, research on quality inspection methods through ICT(Information and Communication Technology) convergence is being actively conducted. A lot of research has already been done on the development of an automated system for quality inspection in the manufacturing process using image processing. However, there is a limit to detecting defects occurring in the automotive sunroof sealer application process, which is the subject of this study, only by image processing using a general camera. To solve this problem, this paper proposes a system construction method that collects image information using a infrared thermal imaging camera for the sunroof sealer application process and detects possible product defects based on the SVM(Support Vector Machine) algorithm. The proposed system construction method was actually tested and applied to auto parts makers equipped with the sunroof sealer application process, and as a result, the superiority, reliability, and field applicability of the proposed method were proven.

Preliminary Study on Image Processing Method for Concrete Temperature Monitoring using Thermal Imaging Camera (열화상카메라 기반 콘크리트 온도 측정을 위한 이미지 프로세싱 적용 기초 연구)

  • Mun, Seong-Hwan;Kim, Tae-Hoon;Cho, Kyu-Man
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2020.06a
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    • pp.206-207
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    • 2020
  • Accurate estimation of concrete strength development at early ages is a critical factor to secure structural stability as well as to speed up the construction process. The temperature generated from the heat of hydration is considered as a key parameter in predicting the early age strength. Conventionally, concrete temperature has been measured by temperature sensors installed inside concrete. However, considering the measurement on building structures with multiple floors, this method requires reinstallation and repositioning of hardware such as sensors, data loggers and routers for data transfer. This makes the temperature monitoring work cumbersome and inefficient. Concrete temperature monitoring by using thermal remote sensing can be an effective alternative to supplement those shortcomings. In this study, image processing was carried out through K-means clustering technique, which is a unsupervised learning method, and the classification results were analyzed accordingly. In the future, research will be conducted on how to automatically recognize concrete among various objects by using deep learning techniques.

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Analysis for the Distribution of the Heat Generated on a Nanji Waste Landfill in Using Landsat TM Image (LANDSAT TM 영상에 의한 난지도 매립지의 발생열 분포해석)

  • Yang, I.T.;Kim, M.D.;Yun, B.H.;Kim, Y.J.
    • Journal of Environmental Impact Assessment
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    • v.4 no.2
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    • pp.59-70
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    • 1995
  • The solution-state of a reclaimed waste would be known to the method in using an analysis for seepage. But it is not the best method in the huge landfill reclaimed all kinds of the waste at random. Especially in case of the landfill called the Nan Gi-do located along the Han-river, it is difficult to judge the generative seepage to be flowed in to the Han-river. So to plan the effective stabilization on a landfill, it is very useful survey method using the Landsat TM image. Operating a heat-distribution analysis with the Landsat TM image, in case of a landfill not having definite data, we would assume the reclaimed sections of the waste to judge a solution-speed late comparatively such as a industry waste or a harmful waste through the heat change.

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