• 제목/요약/키워드: Image-based analysis

검색결과 4,451건 처리시간 0.039초

An Image Quality Requirement Quantified Control Method in Display Development Life Cycle

  • Xue, Liqin;Zou, Xuecheng
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2006년도 6th International Meeting on Information Display
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    • pp.660-664
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    • 2006
  • A novel quantified method based on requirement analysis of image quality to improve display image quality was proposed. Nowadays, the image quality was limited by the poor understanding of the image quality requirement, which led to the critical factors of image quality could not be controlled during display development. Our method was set up to resolve this problem by clarifying the relationship between the image quality level and the effect factors in image processing. Moreover, the subjective factors were eliminated extremely by the image quality quantification. The method was applied in the RPTV development life cycle and its efficiency was demonstrated.

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A standardization model based on image recognition for performance evaluation of an oral scanner

  • Seo, Sang-Wan;Lee, Wan-Sun;Byun, Jae-Young;Lee, Kyu-Bok
    • The Journal of Advanced Prosthodontics
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    • 제9권6호
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    • pp.409-415
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    • 2017
  • PURPOSE. Accurate information is essential in dentistry. The image information of missing teeth is used in optically based medical equipment in prosthodontic treatment. To evaluate oral scanners, the standardized model was examined from cases of image recognition errors of linear discriminant analysis (LDA), and a model that combines the variables with reference to ISO 12836:2015 was designed. MATERIALS AND METHODS. The basic model was fabricated by applying 4 factors to the tooth profile (chamfer, groove, curve, and square) and the bottom surface. Photo-type and video-type scanners were used to analyze 3D images after image capture. The scans were performed several times according to the prescribed sequence to distinguish the model from the one that did not form, and the results confirmed it to be the best. RESULTS. In the case of the initial basic model, a 3D shape could not be obtained by scanning even if several shots were taken. Subsequently, the recognition rate of the image was improved with every variable factor, and the difference depends on the tooth profile and the pattern of the floor surface. CONCLUSION. Based on the recognition error of the LDA, the recognition rate decreases when the model has a similar pattern. Therefore, to obtain the accurate 3D data, the difference of each class needs to be provided when developing a standardized model.

통합 프린지 해석 시스템 개발 : 심한 잡음을 포함하는 간섭 이미지 해석용 (Development of Integrated fringe Analysis System: For Severe Noise-ridden Interferometric Image Analysis)

  • 강민구;주원종;차동진;강보선
    • 대한기계학회논문집B
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    • 제27권11호
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    • pp.1534-1541
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    • 2003
  • A new window-based, user-friendly fringe analysis system is developed, especially for analyzing noisy interferograms. The system integrates three major techniques, that is fringe tracking, Phase shifting, and Fourier transform, into a single shell by employing a unified procedure. Since the system is made in a modular fashion and all processing modules can be shared for any technique, a user can select necessary modules and easily edit the applying order of them based on the user's analysis strategy, which should be changed depending on the noise level of the image. The system provides a high-level GUI and a variety of image handling tools and therefore users can easily access the system and produce the optimal results without giving up in the middle of a process even for severely noise-contaminated interferometric images.

진의류 마케팅 전략을 위한 데이타 베이스 구축에 관한 연구(제2보) -1997년 추계 신세대 진바지 소비자의 상표 인지도, 상표 이미지와 소비자의 추구이미지를 중심으로- (Data Babe Development for Blue Jeans Marketing Strategy(Part ll) - Focused on Young Adult's Brand Awareness, Brand Image and Consumer's Seeking Image in Fall 1997-)

  • 김칠순;이훈자
    • 한국의류학회지
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    • 제22권4호
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    • pp.503-514
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    • 1998
  • The purpose of this study was to develop a large representative data base for jeans marketing strategy This study was to survey brand features(launching year, launching company, design concept, sales volume, and price zone) in the current market, and was to examine brand awareness and it's relationship to segmented distribution regions, demo- graphic variables(sex, age, monthly household income, and seasonal clothing expenditure). This study was also to analyze brand image and consumer's seeking image. The 660 questionnaires were distributed and 618 reliable ones were used for statistical analysis. A SAS statistical package including frequency table, Chi-square test, factor analysis, analysis of variance(ANOVA), Duncan's multiple range test and paired-t test was used. The results are as follows: 1. Brand awareness involves "brand recall" based on asking a person to name the brand recalled first, and "brand recognition" based on asking to identify brand name from 30 given brands. The result of recall brand test indicated that Levi's was dominant brand. People recognized about 70.8% of brands on the average. Brand recognition was influenced by segmented distribution region and demographic variables. 2. There was significantly positive relationship between brand recognition and purchasing behavior. 3. National brands were more recognized than Licensed brands. 4. The result showed that "Nix" was best represented for sophisticated brand image, "Strom" for characteristic, "Jambangee" for resonable price, and "Levi's" for classic '||'&'||' comfortable brand image. 5. As a result of factor analysis on consumer's seeking image, six factors(characteristic, young, intelligent/sexy, comfortable, exotic and popular) were found. Several factors had a relationship with preferred design, demographic variables, fashion interest, and brand recognition. variables, fashion interest, and brand recognition.

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흙의 변형 측정을 위한 디지털 이미지 해석 기법의 최적화 및 정확도 평가 (Evaluation of Accuracy and Optimization of Digital Image Analysis Technique for Measuring Deformation of Soils)

  • 김준영;장의룡;정충기
    • 한국지반공학회논문집
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    • 제27권7호
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    • pp.5-16
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    • 2011
  • 고체 역학 및 유체 역학 분야에서 대상 물체의 변형, 변위 및 속도를 측정하기 위하여 디지털 이미지 해석 기법이 개발, 사용되고 있다. 지반 공학에서도 흙을 포함한 지반 구조물의 변형을 관측하기 위하여 Particle Image Velocimetry (PIV)와 Digital Image Correlation (DIC) 기법이 실내 시험 및 모형 시험 등에 적용되기 시작하는 추세이다. 이미지 해석은 시료의 종류 및 크기, 카메라 해상도, 해석 범위, 이미지 해석 조건에 영향을 받으므로, 다양한 조건에서의 정밀도를 평가하여 합리적으로 최적 조건을 결정할 필요가 있다. 본 연구에서는 디지털 이미지 해석 결과에 영향을 미치는 다양한 요소를 정리하였다. 그리고 높은 정확도의 해석 결과를 얻을 수 있는 최적의 이미지 해석 조건을 결정하는 절차를 제안하였으며 최종적으로 제안된 절차의 적용성을 점성토 시료에 대하여 검증하였다.

스테레오 비젼의 양자화 오차분석 (Analysis of Quantization Error in Stereo Vision)

  • 김동현;박래홍
    • 전자공학회논문지B
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    • 제30B권9호
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    • pp.54-63
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    • 1993
  • Quantization error, generated by the quantization process of an image, is inherent in computer vision. Because, especially in stereo vision, the quantization error in a 2-D image results in position errors in the reconstructed 3-D scene, it is necessary to analyze it mathematically. In this paper, the analysis of the probability density function (pdf) of quantization error for a line-based stereo matching scheme is presented. We show that the theoretical pdf of quantization error in the reconstructed 3-D position information has more general form than the conventional analysis for pixel-based stereo matching schemes. Computer simulation is observed to surpport the theoretical distribution.

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Analysis of Homomorphic Filtered Remotely Sensed Imagery and Multiple Geophysical Images

  • Ryu Hee-Young;Lee Kiwon;Kwon Byung-Doo
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.237-240
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    • 2004
  • In this study, the digital image processing with image enhancement based on homomorphic filtering was performed using geophysical imaging data such as gravity, magnetic data and sub-scenes of satellite images such as LANDSAT, IKONOS, and KOMPSAT. Windows application program for executing homomorphic filtering was designed and newly implemented. In general, homomorphic filtering is technique that is based on Fourier transform, which enhances the contrast of image by removing the low frequencies and amplifying the high frequencies in frequency domain. We can enhance the image selectively using homomorphic filtering as compared with the existing method, which enhance the image totally. Through several experiment using remotely sensed imagery and geophysical image with this program, it is concluded that homomorphic filtering is more effective to reveal distinct characteristics for some complicated and multi-associated features on image data.

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치과에서 디지털 x-선 영상의 이용 (Digital X-ray Imaging in Dentistry)

  • 김은경
    • 치과방사선
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    • 제29권2호
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    • pp.387-396
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    • 1999
  • In dentistry. RadioVisioGraphy was introduced as a first electronic dental x-ray imaging modality in 1989. Thereafter. many types of direct digital radiographic system have been produced in the last decade. They are based either on charge-coupled device(CCD) or on storage phosphor technology. In addition. new types of digital radiographic system using amorphous selenium. image intensifier etc. are under development. Advantages of digital radiographic system are elimination of chemical processing, reduction in radiation dose. image processing, computer storage. electronic transfer of images and so on. Image processing includes image enhancement. image reconstruction. digital subtraction, etc. Especially digital subtraction and reconstruction can be applied in many aspects of clinical practice and research. Electronic transfer of images enables filmless dental hospital and teleradiology/teledentistry system. Since the first image management and communications system(IMACS) for dentomaxillofacial radiology was reported in 1992. IMACS in dental hospital has been increasing. Meanwhile. researches about computer-assisted diagnosis, such as structural analysis of bone trabecular patterns of mandible. feature extraction, automated identification of normal landmarks on cephalometric radiograph and automated image analysis for caries or periodontitis. have been performed actively in the last decade. Further developments in digital radiographic imaging modalities. image transmission system. imaging processing and automated analysis software will change the traditional clinical dental practice in the 21st century.

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위성 영상의 효과적인 분석을 위한 밝기와 크로스 엔트로피 기반의 그림자 검출 (Shadow Detection Based Intensity and Cross Entropy for Effective Analysis of Satellite Image)

  • 박기홍
    • 한국항행학회논문지
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    • 제20권4호
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    • pp.380-385
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    • 2016
  • 그림자는 자연 영상에서 관찰되는 물리적인 현상이지만 위성 영상 분석에 부정적인 영향을 미치는 요소로 컴퓨터 비전의 전처리 과정에서 그림자 검출 과정은 매우 중요하다. 본 논문에서는 싱글 영상 기반의 위성 영상에서 효과적인 영상 분석을 위해 그림자를 검출하는 방법으로 크로스 엔트로피와 밝기 영상을 이용해 그림자를 검출하는 방법을 제안하였다. 칼라 영상을 그레이 레벨 영상으로 변환한 후 크로스 엔트로피를 기반으로 최적의 임계값을 추정하여 첫 번째 그림자 후보 영역으로 판별하였고, 칼라 영상의 밝기 영상을 이용해 최종 그림자 영역을 검출하였다. 제안하는 방법의 타당성을 위해 위성 영상들을 대상으로 실험하였고, 실험 결과 제안하는 그림자를 검출 방법이 효과적으로 수행됨을 확인하였다.

입자의 이동거리가 큰 영상데이터의 PIV 유동 해석을 위한 속도벡터 추적 알고리즘의 연구 (A Research on the Vector Search Algorithm for the PIV Flow Analysis of image data with large dynamic range)

  • 김성균
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 1998년도 추계 학술대회논문집
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    • pp.13-18
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    • 1998
  • The practical use of the particle image velocimetry(PIV), a whole-field velocity measurement method, requires the use of fast, reliable, computer-based methods for tracking velocity vectors. The full search block matching, the most widely studied and applied technique both in area of PIV and Image Coding and Compression, is computationally costly. Many less expensive alternatives have been proposed mostly in the area of Image Coding and Compression. Among others, TSS, NTSS, HPM are introduced for the past PIV analysis, and found to be successful. But, these algorithms are based on small dynamic range, 7 pixels/frame in maximum displacement. To analyze the images with large displacement, Even and Odd field image separation and a simple version of multi-resolution hierarchical procedures are introduced in this paper. Comparison with other algorithms are summarized. A Results of application to the turbulent backward step flow shows the improvement of new algorithm.

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