• 제목/요약/키워드: Image Process

검색결과 5,924건 처리시간 0.039초

3 차원 표면의 컬러 인쇄를 위한 공정 변수 영향 분석에 관한 연구 (investigation of process parameter influence on 3D surface coloring)

  • 송민섭;이상호;김효찬;양동열
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2004년도 추계학술대회 논문집
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    • pp.1390-1393
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    • 2004
  • In the present industry, three-dimensional colored shape has required for realistic prototype in rapid manufacturing. Z-corporation developed 3D printer which can color three-dimensional prototype but this process can't be adopted to other rapid prototype products and spend much time and cost coloring 3D shape. In this study a new coloring process on three-dimensional surface is proposed for realistic prototype. Three-dimensional surface coloring apparatus is composed of HP ink jet head and X-Y plotter. Distance and angle between ink jet nozzle and 3D surface are set as process parameter. Based on the experiment of process parameters, it is shown that distance and angle affected on printed image on 3D surface. Circle and line shape are chosen as standard image shape because the shape has widely used as standard in 2D printing. Consequently, the distorted image on 3D surface is corrected by transformed input image data.

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패션 디자인을 위한 체계적, 직관적 접근방법에 관한 고찰 (A Study on the Systematic, Intuitive Approach for Fashion Design)

  • 최윤미
    • 복식문화연구
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    • 제5권1호
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    • pp.71-83
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    • 1997
  • It is the important situation that the fashion industry is faced to enormous changes in the nation and worldwide market. To cope with this situations, it is necessary to clarify that the concept of fashion design and its process. This study was conducted as followings : 1. Fashion design is the process of problem solving including the steps of understanding problem, visualizing the image of a design concept. 2. The systematic and intuitive approach is harmonized to solve the process of fashion design. 3. The step of understanding problem is consist of the analysis of environments, the explanation of problem, the determination of purposes, the definition of problem and the visualizing the image of a design concept. 4. In the step of the visualizing the image of a design concept, the intuitive approaches can be clarifies as the importance of start, the step by step process, the determination of a design concept, the fixations of an image, the image realization through real objects, the diminution a difference between a concept and a visualizing the image and the necessity of exercises.

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미분탄 화염 영상 분석을 통한 취입랜스 최적 제어 기법 개발 (Development of injection lance position control method using fine Bituminous Coal combustion Image Analysis)

  • 김지언;이민철;백준영;정도영;안영진
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회A
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    • pp.806-810
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    • 2008
  • This paper introduces the automatic fine Bituminous Coal injection lance position control method using flame image process. The fine Coal injection lance is used to supply additional heat into the furnace in Mill plant. It injects fine coal into high pressured air flow and produces very heated and high pressured flame. For the such high temperature and pressure, the fine coal injection lance effects not only efficiency of burner but also furnace abrasion. To keep efficient combustion status and to avoid the abrasion, in this paper, the flame is monitored by computer image process. This paper proposes the flame image process method and lance position control according to calculated result for flame image process.

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정량적 공간분석 모델에 관한 연구 - 시각 분석과 영상처리에 의한 이미지 분석 모델을 중심으로 - (A Study on Quantitative Space Analysis Model - Focused on a Visual Analysis and Image Analysis by Digital Image Processing -)

  • 이혁준;이종석
    • 한국실내디자인학회논문집
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    • 제37호
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    • pp.136-143
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    • 2003
  • Users' demands on the space are changing in variety. These demands include reasonable space and form, harmonious composition with surroundings and esthetic satisfaction that could be brought by personal tastes and preferences. In addition, models that are introduced from designing process and from various forms tend to lack objective decision making standard. Accordingly it is difficult to find a clear alternative plan and process. In an effort to solve these problems, the objects of this study are; to propose an analysis model of image and space by using image process techniques that are on study in the field of artificial intelligence based on acquisition of digital image and to verify the application possibilities of such analysis model, 'Isovist' on quantitative analysis. The model can be applied with variable analysis model, as digital image process and other analysis model such as 'Isovist' It is possible that further study can complement problems from this study.

DOMAIN BLOCK ESTIMATING FUNCTION FOR FRACTAL IMAGE CODING

  • Kousuke-Imamura;Yuuji-Tanaka;Hideo-Kuroda
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 1999년도 KOBA 방송기술 워크샵 KOBA Broadcasting Technology Workshop
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    • pp.57.2-62
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    • 1999
  • Fractal coding is image compression techniques using one of image characteristics self-transformability. In fractal image coding, the encoding process is to select the domain block similar to a range block. The reconstructed image quality of fractal image coding depends on similitude between a range block and the selected domain block. Domain block similar to a range blocks. In fact, the error of the reconstructed image adds up the generated error in encoding process and the generated error in decoding process. But current domain block estimating function considered only the encoding error. We propose a domain block estimating function to consider not only the encoding error but also the decoding error. By computer simulation, it was verified to obtain the high quality reconstructed image.

유방 초음파 영상에서 도메인 경험 지식 기반의 노이즈 필터링 알고리즘을 이용한 ROI(Region Of Interest) 추출 (The Extraction of ROI(Region Of Interest)s Using Noise Filtering Algorithm Based on Domain Heuristic Knowledge in Breast Ultrasound Image)

  • 구락조;정인성;최성욱;박희붕;왕지남
    • 산업경영시스템학회지
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    • 제31권1호
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    • pp.74-82
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    • 2008
  • The objective of this paper is to remove noises of image based on the heuristic noises filter and to extract a tumor region by using morphology techniques in breast ultrasound image. Similar objective studies have been conducted based on ultrasound image of high resolution. As a result, efficiency of noise removal is not fine enough for low resolution image. Moreover, when ultrasound image has multiple tumors, the extraction of ROI (Region Of Interest) is not accomplished or processed by a manual selection. In this paper, our method is done 4 kinds of process for noises removal and the extraction of ROI for solving problems of restrictive automated segmentation. First process is that pixel value is acquired as matrix type. Second process is a image preprocessing phase that is aimed to maximize a contrast of image and prevent a leak of personal information. In next process, the heuristic noise filter that is based on opinion of medical specialist is applied to remove noises. The last process is to extract a tumor region by using morphology techniques. As a result, the noise is effectively eliminated in all images and a extraction of tumor regions is possible though one ultrasound image has several tumors.

주파수 대역별 형태소 PN부호화 연산을 통한 이미지 워티마킹 (Image Watermarking using PN Coding Operation where Frequency Band)

  • 하진일;주동현;김두영
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(4)
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    • pp.311-314
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    • 2002
  • This paper has been studied a Image watermarking using PN coding operation where frequency band. By using wavelet transformation, This gets high frequency place HH2 where image watermark puts. Also this places that PN code and binary image are operated. And then, this paper has designed image watermarking index process and extract process, watermarked image which are to add noise is able to extract watermark.

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Prohibition of Boundary Image Sticking in AC Plasma Display Panel Using Vacuum Sealing Method

  • Tae, Heung-Sik;Park, Choon-Sang;Kwon, Young-Kuk;Heo, Eun-Gi;Lee, Byung-Hak
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2007년도 7th International Meeting on Information Display 제7권2호
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    • pp.1688-1691
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    • 2007
  • This paper shows that the boundary image sticking can be prohibited completely by using the vacuum sealing process, which means that the residual impurities such as nitrogen or oxygen can be a critical factor inducing the boundary image sticking. The production of boundary image sticking was checked in the test panel fabricated by the $N_2$ or $O_2$ flow during the vacuum sealing process. As a result, the boundary image sticking did not appear in the case of $N_2flow$, whereas the boundary image sticking was observed in the case of $O_2$ flow even though the test panel was fabricated by the vacuum sealing process.

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한국의 이미지를 이용한 의류상품개발 모델의 연구 -청바지와 티셔츠를 중심으로- (A process of developing experimental Korean image fashion items focused on jeans and T-shirts)

  • 이영미;이상은
    • 한국의상디자인학회지
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    • 제5권3호
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    • pp.49-61
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    • 2003
  • This study is a process of developing experimental Korean image fashion items that can appeal to the younger generation. The sample models are focused on jeans and T-shirts. This project had two goals. First, giving chance to the students of Konkuk-University of producing fashion items adopting Korean image in university venture company. Second, contributing to Korean image fashion market if the items have been proved to have competitive power through the market of Konkuk-University and it's cooperated company. The research is restricted within ornament techniques of Korean traditional dress and its ornament's element, they are patchwork wrapping-cloth(Chokakbo), embroidery, gold and silver foil on cloths, and transcription. Such Korean image elements are graphic patterned as 30 jeans and 50 T-shirts and eventually evaluated by 100 university students majoring in garments. The evaluation scale contains repletion of Korean image, possibility of market, and preference. Through this process, 6 jeans and 7 T-shirts were produced.

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향상된 세일리언시 맵과 슈퍼픽셀 기반의 효과적인 영상 분할 (Efficient Image Segmentation Algorithm Based on Improved Saliency Map and Superpixel)

  • 남재현;김병규
    • 한국멀티미디어학회논문지
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    • 제19권7호
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    • pp.1116-1126
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    • 2016
  • Image segmentation is widely used in the pre-processing stage of image analysis and, therefore, the accuracy of image segmentation is important for performance of an image-based analysis system. An efficient image segmentation method is proposed, including a filtering process for super-pixels, improved saliency map information, and a merge process. The proposed algorithm removes areas that are not equal or of small size based on comparison of the area of smoothed superpixels in order to maintain generation of a similar size super pixel area. In addition, application of a bilateral filter to an existing saliency map that represents human visual attention allows improvement of separation between objects and background. Finally, a segmented result is obtained based on the suggested merging process without any prior knowledge or information. Performance of the proposed algorithm is verified experimentally.