• 제목/요약/키워드: Image Use

검색결과 6,107건 처리시간 0.037초

A Study on the Development of Clinical Workstation (임상용 워크스테이션의 개발에 관한 연구)

  • Park, Kwang-Seok;Lee, Tae-Su;Min, Byeong-Gu
    • Journal of Biomedical Engineering Research
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    • 제11권1호
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    • pp.141-146
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    • 1990
  • A clinical workstation has been developed for the use in clinical ward. This system is connected to the Picture Archiving and Communication System previously installed. It provides the capabilities of image display, image processing, diagnostic report review, clinical lab data review and analytic diagrams presentation for the hospitalized patients in clinical ward. The performances of this system were evaluated during the 9 months. These results show typical aspects of clinical patterns in data transmissions, image studies and clinical lab data studies. These typical aspects should be counted in the further development of workstation for the clinical use.

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High speed seam tracking using multi-line laser vision sensor (멀티 라인 레이저 비전 센서를 이용한 고속 용접선 추적 기술)

  • 성기은;이세헌
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 한국정밀공학회 2002년도 추계학술대회 논문집
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    • pp.584-587
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    • 2002
  • A vision sensor measure range data using laser light source. This sensor generally use patterned laser which shaped single line. But this vision sensor cannot satisfy new trend which needs laster and more precise processing. The sensor's sampling rate increases as reduced image processing time. However, the sampling rate can not over 30fps, because a camera has mechanical sampling limit. If we use multi line laser pattern, we will measure multi range data in one image. In the case of using same sampling rate camera, number of 2D range data profile in one second is directly proportional to laser line's number. For example, the vision sensor using 5 laser lines can sample 150 profiles per second in best condition.

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View synthesis in uncalibrated images (임의 카메라 구조에서의 영상 합성)

  • Kang, Ji-Hyun;Kim, Dong-Hyun;Sohn, Kwang-Hoon
    • Proceedings of the IEEK Conference
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.437-438
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    • 2006
  • Virtual view synthesis is essential for 3DTV systems, which utilizes the motion parallax cue. In this paper, we propose a multi-step view synthesis algorithm to efficiently reconstruct an arbitrary view from limited number of known views of a 3D scene. We describe an efficient image rectification procedure which guarantees that an interpolation process produce valid views. This rectification method can deal with all possible camera motions. The idea consists of using a polar parameterization of the image around the epipole. Then, to generate intermediate views, we use an efficient dense disparity estimation algorithm considering features of stereo image pairs. Main concepts of the algorithm are based on the region dividing bidirectional pixel matching. The estimated disparities are used to synthesize intermediate view of stereo images. We use computer simulation to show the result of the proposed algorithm.

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An Object Representation System Using Virtual Space Coordinates

  • Ban, Kyeong-Jin;Kim, Jong-Chan;Kim, Eung-Kon
    • Journal of information and communication convergence engineering
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    • 제8권4호
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    • pp.411-415
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    • 2010
  • Conventional Augmented Reality has used data gloves or markers for smooth interaction between objects and background. This causes inconvenience of use and lower immersion. To build up immersion in Augmented Reality, additional input devices must be removed. For this purpose, accurate recognition of space coordinates is needed even with no attachment of markers. This paper proposes a method to create virtual space coordinates for interaction without wearing additional input devices so as to improve immersion in Augmented Reality. The acquired image was projected to 2D space and vanishing lines were extracted to calculate the virtual space coordinates. Then the sizes of the inserted objects were varied in accordance with the size of the virtual coordinates area based on the image projected onto the 2D coordinates. This resulted in improved immersion. This method can increase the efficiency of object creation by excluding the use of a 3D modeler for creation of 3D objects.

A robust optical security system using polarization and phase masks

  • Kim, Jae-Hyun;Shin, Chang-Mok;Seo, Dong-Hoan;Kim, Jong-Yun;Park, Se-Joon;Kim, Soo-Joong
    • Proceedings of the IEEK Conference
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    • 대한전자공학회 2000년도 ITC-CSCC -2
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    • pp.919-922
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    • 2000
  • A robust optical security technique using ortho-gonally polarized lights in the interferometer is proposed. We use orthogonally polarized lights in order to minimize the noise generated by the refractive index change due to vibration, flow of air, change of temperature etc. To make orthogonally polarized lights the first beam splitter in the Mach-Zehnder interferometer is substituted by a polarizing beam splitter(PBS). Because of incoherence of orthogonally polarized lights, the noise generated by the change of refractive index is minimized. To encrypt an image we use the random partition and the diffusing of pixel. Finally we make Phase-only-filters of each image which is randomly partitioned and diffused pixel by pixel. Simulation results show the proposed system has the ability of encryption and decryption of an image.

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Degradation Measurement from Electrical Tree Image Using Foreground Object Extracting Skill (전경 물체 추출 기법을 이용한 전기트리 영상에서 열화 측정)

  • 김형균;정기봉;고석만;오무송;김태성
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 한국전기전자재료학회 2001년도 추계학술대회 논문집
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    • pp.270-273
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    • 2001
  • Electrical tree is studied widely by manufacture state of insulating material fare and blazing fire diagnosis system of use in phenomenon of part discharge that happen for main cause of dielectric breakdown of equipment for electric power. Use process that draw tree pattern here measuring above zero to study special quality of this electricity tree, real-time processing by image processing is proposed because reproduction of tree blazing fire process drops and pattern of tree is difficult correct quantification of tree growth by existent visual observation by involution. This research presents general process that need in image processing of tree blazing fire, and that remove various noises that happen in above zero by measuring electrical tree dividing background and complete view in measured above zero taking advantage of specially proposed complete view object abstraction techniques effectively and quantification of tree becomes easy naturally, can apply to dielectric breakdown estimate because can chase growth process of tree.

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A study on RPG game character Design using Tang Dynasty Warrior cultural Prototype (당대(唐代) 무사 원형을 이용한 롤플레잉 게임 캐릭터 디자인 연구)

  • Yi, Sixiang;Lee, Dong Hun
    • Proceedings of the Korea Contents Association Conference
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    • 한국콘텐츠학회 2008년도 춘계 종합학술대회 논문집
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    • pp.685-688
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    • 2008
  • Use the collection of Tang Dynasty warrior's image as a basic, and find the element to use. Analyse the RPG game character image's element, then put the warrior image's element into the game character design's process, in order to find a way to create a new game character.

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Object Detection Using Deep Learning Algorithm CNN

  • S. Sumahasan;Udaya Kumar Addanki;Navya Irlapati;Amulya Jonnala
    • International Journal of Computer Science & Network Security
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    • 제24권5호
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    • pp.129-134
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    • 2024
  • Object Detection is an emerging technology in the field of Computer Vision and Image Processing that deals with detecting objects of a particular class in digital images. It has considered being one of the complicated and challenging tasks in computer vision. Earlier several machine learning-based approaches like SIFT (Scale-invariant feature transform) and HOG (Histogram of oriented gradients) are widely used to classify objects in an image. These approaches use the Support vector machine for classification. The biggest challenges with these approaches are that they are computationally intensive for use in real-time applications, and these methods do not work well with massive datasets. To overcome these challenges, we implemented a Deep Learning based approach Convolutional Neural Network (CNN) in this paper. The Proposed approach provides accurate results in detecting objects in an image by the area of object highlighted in a Bounding Box along with its accuracy.

Processing Techniques of Layer Channel Image for 3D Image Effects (3D 영상 효과를 위한 레이어 채널 이미지의 처리 기법)

  • Choi, Hak-Hyun;Kim, Jung-Hee;Lee, Myung-Hak
    • The Journal of the Korea Contents Association
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    • 제8권1호
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    • pp.272-281
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    • 2008
  • A layer channel, which can express effects on 3D image, is inserted to use it on application rendering effectively. The current method of effect rendering requires individual sources in storage and image processing, because it uses individual and mixed management of images and effects. However, we can save costs and improve results in images processing by processing both image and layer channels together. By changing image format to insert a layer channel in image and adding a hide function to conceal the layer channel and control to make it possible to approach image and layer channels simultaneously during loading image and techniques hiding the layer channel by changing image format with simple techniques, like alpha blending, etc., it is developed to improve reusability and be able to be used in all programs by combining the layer channel and image together, so that images in changed format can be viewed in general image viewers. With the configuration, we can improve processing speed by introducing image and layer channels simultaneously during loading images, and reduce the size of source storage space for layer channel images by inserting a layer channel in 3D images. Also, it allows managing images in 3D image and layer channels simultaneously, enabling effective expressions, and we can expect to use it effectively in multimedia image used in practical applications.

Color Component Analysis For Image Retrieval (이미지 검색을 위한 색상 성분 분석)

  • Choi, Young-Kwan;Choi, Chul;Park, Jang-Chun
    • The KIPS Transactions:PartB
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    • 제11B권4호
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    • pp.403-410
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    • 2004
  • Recently, studies of image analysis, as the preprocessing stage for medical image analysis or image retrieval, are actively carried out. This paper intends to propose a way of utilizing color components for image retrieval. For image retrieval, it is based on color components, and for analysis of color, CLCM (Color Level Co-occurrence Matrix) and statistical techniques are used. CLCM proposed in this paper is to project color components on 3D space through geometric rotate transform and then, to interpret distribution that is made from the spatial relationship. CLCM is 2D histogram that is made in color model, which is created through geometric rotate transform of a color model. In order to analyze it, a statistical technique is used. Like CLCM, GLCM (Gray Level Co-occurrence Matrix)[1] and Invariant Moment [2,3] use 2D distribution chart, which use basic statistical techniques in order to interpret 2D data. However, even though GLCM and Invariant Moment are optimized in each domain, it is impossible to perfectly interpret irregular data available on the spatial coordinates. That is, GLCM and Invariant Moment use only the basic statistical techniques so reliability of the extracted features is low. In order to interpret the spatial relationship and weight of data, this study has used Principal Component Analysis [4,5] that is used in multivariate statistics. In order to increase accuracy of data, it has proposed a way to project color components on 3D space, to rotate it and then, to extract features of data from all angles.