• 제목/요약/키워드: Computer assisted image analysis

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A Practical Digital Video Database based on Language and Image Analysis

  • Liang, Yiqing
    • 한국데이타베이스학회:학술대회논문집
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    • 한국데이타베이스학회 1997년도 International Conference MULTIMEDIA DATABASES on INTERNET
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    • pp.24-48
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    • 1997
  • . Supported byㆍDARPA′s image Understanding (IU) program under "Video Retrieval Based on Language and image Analysis" project.DARPA′s Computer Assisted Education and Training Initiative program (CAETI)ㆍObjective: Develop practical systems for automatic understanding and indexing of video sequences using both audio and video tracks(omitted)

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외고정법을 이용한 컴퓨터이용 및 로봇지원 골절수술 및 골변형교 정술에 대한 연구 (Research on Computer-aided and Robotic-assisted Surgery of Fracture Reduction and Bone Deformity Correction under External fixation)

  • 김윤혁
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 추계학술대회 논문집
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    • pp.131-134
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    • 2005
  • This paper presents a computer-aided simulation and robotic-assisted execution technology of external fixation method to achieve fracture reduction and deformity correction in long bones. Combining the kinematic analysis with a graphic model of the tibia and the fixator allowed 3D simulation and visualization of the adjustments required to reduce fracture or correct bone deformity as a pre-operative planning tool. The developed robot model provided accurate deformity correction with small residual deformity based on the results of the planning. By incorporating the robot model with image-guided system and computer-aided planning, the integrated system could be useful for computer-aided pre-operative planning and robotic-assisted execution in fracture treatment and bone deformity surgery.

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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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디지털 공제술을 이용한 $Br{\aa}nemark$ 임플란트 주위 골조직 분석 (Evaluation of peri-implant bone density changes in $Br{\aa}nemark$ implants by computer assisted densitometric image analysis (CADIA))

  • 소성수;노현수;김창성;최성호;채중규;김종관;조규성
    • Journal of Periodontal and Implant Science
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    • 제37권1호
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    • pp.137-150
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    • 2007
  • CADIA(Computer-assisted densitometric image analysis) method is used to analyze bone density changes around the implants. The usefullness and reproducibility of the method was assessed. We tried to find out if there is any possibility to quantitiate and qualitify peri-implant bone density change as time passes. And we concluded that this newly developed linear analysis is efficient for analyzing peri-implant bone density change non-Invasively. In this study, 2152 machined $Br{\aa}nemark$ fixtures installed from 1994 to 2002 in the department of Periodontics, Dental hospital of College of Dentistry, Yonsei University were included. Of these fixtures 22 radiographically analyzable failed fixtures were used as experimental group, and 22 successful implants placed in the same patient were used as control group. 1. 57 out of 1635 machined $Br{\aa}nemark$ standard and Mk II implants system failed, the survival rate was 96.5%. And 11 out of 517 machined $Br{\aa}nemark$ Mk III and Mk IV implants system failed, the survival rate was 97.9%. Total survival rate was 96.8%. 2. 22 failed implants were used for the analysis, 10 of which failed before prosthetic treatment due to infection and overheating. 12 failed due to overload after prosthetic treatment, 63.6% of which failed during the early phase of functional loading, i, e. before 1 year of loading. 3. Bone density change values around coronal region of the failed implants were $-6.54{\pm}6.35$, middle region were $-3.53{\pm}5.78$, apical region were $-0.75{\pm}10.33$, resulting in average of $-3.71{\pm}8.03$. 4. Bone density change values around coronal region of the successful implants were $4.25{\pm}4.66$, middle region were $6.33{\pm}5.02$, apical region were $9.89{\pm}4.67$, resulting in average of $6.27{\pm}5.29$. 5. There was a statistically significant difference between two groups (p<0.01). In conclusion, the linear analysis method using computer-assisted densitometric image analysis could be a useful method for the analysis of implants, and could be used for future implant researchs.

A Study on Character Design Using [Midjourney] Application

  • Chen Xi;Jeanhun Chung
    • International Journal of Advanced Culture Technology
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    • 제11권2호
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    • pp.409-414
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    • 2023
  • In recent years, the emergence of a number of AI image generation software represented by [Midjourney] has brought great impetus to the development of the field of AI-assisted art creation. Compared with the traditional hand-painted digital painting with the aid of electronic equipment, broke the traditional sense of animation character creation logic.This paper analyzes the application of AI technology in the field of animation character design through the practice of two-dimensional animation character . This is having a significant impact on the productivity and innovation of animation design and character modeling. The key results of the analysis indicate that AI technology, particularly through the utilization of "Midjourney,"enables the automation of certain design tasks, provides innovative approaches, and generates visually appealing and realistic characters. In conclusion, the integration of AI technology, specifically the application of "Midjourney," brings a new dimension to animation character design. The utilization of AI image generation software facilitates streamlined workflows, sparks creativity, and improves the overall quality of animated characters. As the animation industry continues to evolve, AI-assisted tools like "Midjourney" hold great potential for further advancement and innovation.

Texture Analysis for Classifying Normal Tissue, Benign and Malignant Tumors from Breast Ultrasound Image

  • Eom, Sang-Hee;Ye, Soo-Young
    • Journal of information and communication convergence engineering
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    • 제20권1호
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    • pp.58-64
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    • 2022
  • Breast ultrasonic reading is critical as a primary screening test for the early diagnosis of breast cancer. However, breast ultrasound examinations show significant differences in diagnosis based on the difference in image quality according to the ultrasonic equipment, experience, and proficiency of the examiner. Accordingly, studies are being actively conducted to analyze the texture characteristics of normal breast tissue, positive tumors, and malignant tumors using breast ultrasonography and to use them for computer-assisted diagnosis. In this study, breast ultrasonography was conducted to select 247 ultrasound images of 71 normal breast tissues, 87 fibroadenomas among benign tumors, and 89 malignant tumors. The selected images were calculated using a statistical method with 21 feature parameters extracted using the gray level co-occurrence matrix algorithm, and classified as normal breast tissue, benign tumor, and malignancy. In addition, we proposed five feature parameters that are available for computer-aided diagnosis of breast cancer classification. The average classification rate for normal breast tissue, benign tumors, and malignant tumors, using this feature parameter, was 82.8%.

Scalable Big Data Pipeline for Video Stream Analytics Over Commodity Hardware

  • Ayub, Umer;Ahsan, Syed M.;Qureshi, Shavez M.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권4호
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    • pp.1146-1165
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    • 2022
  • A huge amount of data in the form of videos and images is being produced owning to advancements in sensor technology. Use of low performance commodity hardware coupled with resource heavy image processing and analyzing approaches to infer and extract actionable insights from this data poses a bottleneck for timely decision making. Current approach of GPU assisted and cloud-based architecture video analysis techniques give significant performance gain, but its usage is constrained by financial considerations and extremely complex architecture level details. In this paper we propose a data pipeline system that uses open-source tools such as Apache Spark, Kafka and OpenCV running over commodity hardware for video stream processing and image processing in a distributed environment. Experimental results show that our proposed approach eliminates the need of GPU based hardware and cloud computing infrastructure to achieve efficient video steam processing for face detection with increased throughput, scalability and better performance.

경계선 기반의 대화형 영상분할 시스템 (Edge based Interactive Segmentation)

  • 윤현주;이상욱
    • 한국컴퓨터그래픽스학회논문지
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    • 제8권2호
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    • pp.15-22
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    • 2002
  • 영상분할이란 영상내의 이미지 상의 특정한 의미가 있는 영역으로 나누는 영상처리 방법을 일컫는다. 이미지 합성이나 분석을 위해서는 구분된 영역이 최대한 인간이 의미를 부여할 수 있는 물체를 나타내는 것이 바람직하나, 현재의 컴퓨터에의한 자동 영상이해 기법으로는 그 학문적 및 기술적인 한계로 인하여 영역의 분할이 수치적인 의미 이상을 가지게하기 어렵다. 따라서, 사용자가 결정적인 물체 경계의 정보를 제공하고 그에 기반하여 처리하는 HCI(Human Computer Interaction)개념을 도입하면 효과적인 결과를 얻을 수 있다. 기존의 "지능형 가위" (Intelligent Scissors)나 스네이크 (Snake) 방법 등에서도 사용자의 입력이 결과에 결정적인 역할을 하는 것을 보여준다 [1][2]. 본 논문은 기존의 방법에 비하여 미세한 영역의 경계를 추출 및 추적을 향상할 수 있는 효율적인 대화형 영상분할 기법을 제안한다. 제시된 방법은 지능형 가위의 개념에 일부 기반하나 안정된 경계선 추출을 위하여 이미 영상처리분야에서 확립된 캐니 경계 검출법(Canny Edge Detector)을 사용한다. 그리고 캐니 경계 검출법으로 잘 탐지되지 않는 경계선 부분에 대한 검출을 위하여 경계 "재봉법"(Sewing Method)을 제시하였으며, 작업 효과와 효율을 증진 시키기 위하여 인접 화소들을 검색하는 순서와 검색 대상 화소를 지정하는 5-방향 경계 추적 방법(5-Direction Edge-Following Method)을 제안하였다.

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Assessment of trabecular bone changes around endosseous implants using image analysis techniques: A preliminary study

  • Zuki, Mervet El;Omami, Galal;Horner, Keith
    • Imaging Science in Dentistry
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    • 제44권2호
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    • pp.129-135
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    • 2014
  • Purpose: The objective of this study was to assess the trabecular bone changes that occurred around functional endosseous dental implants by means of radiographic image analysis techniques. Materials and Methods: Immediate preoperative and postoperative periapical radiographs of de-identified implant patients at the University Dental Hospital of Manchester were retrieved, screened for specific inclusion criteria, digitized, and quantified for structural elements of the trabecular bone around the endosseous implants, by using image analysis techniques. Data were analyzed using SPSS version 11.5. P values of less than 0.05 were considered statistically significant. Results: A total of 12 implants from 11 patients were selected for the study, and 26 regions of interest were obtained. There was a significant increase in the bone area in terms of the mean distance between nodes (p=0.006) and a significant decrease in the marrow area in terms of the bone area (p=0.006) and the length of marrow spaces (p=0.032). Conclusion: It appeared that the bone around the implant underwent remodeling that resulted in a net increase in bone after implant placement.

Proteomic Analysis of the Hydrophobic Fraction of Mesenchymal Stem Cells Derived from Human Umbilical Cord Blood

  • Jeong, Ju Ah;Lee, Yoon;Lee, Woobok;Jung, Sangwon;Lee, Dong-Seong;Jeong, Namcheol;Lee, Hyun Soo;Bae, Yongsoo;Jeon, Choon-Ju;Kim, Hoeon
    • Molecules and Cells
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    • 제22권1호
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    • pp.36-43
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    • 2006
  • Mesenchymal stem cells (MSCs) are promising candidates for cell therapy and tissue engineering, but their application has been impeded by lack of knowledge of their core biological properties. In order to identify MSC-specific proteins, the hydrophobic protein fraction was individually prepared from two different umbilical cord blood (UCB)-derived MSC populations; these were then subjected to two-dimensional (2D) gel electrophoresis and peptide mass fingerprinting matrix-assisted laser desorption/ionization (MALDI)-time of flight (TOF)-mass spectrometry (MS). Although the 2D gel patterns differed somewhat between the two samples, computer-assisted image analysis identified shared protein spots. 35 spots were reliably identified corresponding to 32 different proteins, many of which were chaperones. Based on their primary sub-cellular locations the proteins could be grouped into 6 categories: extracellular, cell surface, endoplasmic reticular, mitochondrial, cytoplasmic and cytoskeletal proteins. This map of the water-insoluble proteome may provide valuable insights into the biology of the cell surface and other compartments of human MSCs.