• 제목/요약/키워드: Images, processing

검색결과 4,224건 처리시간 0.03초

의료영상 반자동화 영상처리 시스템 (Semi-Automated Image Processing System for Medical Images)

  • 최우영;서명환;유돈식;윤재훈
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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    • pp.225-228
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    • 2003
  • The purpose of this paper is to develop a semi -automated system for medical image processing with which tissues or organs from medical images can be segmented and classified by people who have basic knowledge of image processing. In addition, the proposed medical image processing system is independent on types of human tissues or images. In this paper, a new semi-automated image processing system with essential image processing functions for medical images is introduced

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Performance Study of Satellite Image Processing on Graphics Processors Unit Using CUDA

  • Jeong, In-Kyu;Hong, Min-Gee;Hahn, Kwang-Soo;Choi, Joonsoo;Kim, Choen
    • 대한원격탐사학회지
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    • 제28권6호
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    • pp.683-691
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    • 2012
  • High resolution satellite images are now widely used for a variety of mapping applications including photogrammetry, GIS data acquisition and visualization. As the spectral and spatial data size of satellite images increases, a greater processing power is needed to process the images. The solution of these problems is parallel systems. Parallel processing techniques have been developed for improving the performance of image processing along with the development of the computational power. However, conventional CPU-based parallel computing is often not good enough for the demand for computational speed to process the images. The GPU is a good candidate to achieve this goal. Recently GPUs are used in the field of highly complex processing including many loop operations such as mathematical transforms, ray tracing. In this study we proposed a technique for parallel processing of high resolution satellite images using GPU. We implemented a spectral radiometric processing algorithm on Landsat-7 ETM+ imagery using CUDA, a parallel computing architecture developed by NVIDIA for GPU. Also performance of the algorithm on GPU and CPU is compared.

Panoramic Image Composed of Multiple Rectilinear Images Generated from a Single Fisheye Image

  • Kweon, Gyeong-Il
    • Journal of the Optical Society of Korea
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    • 제14권2호
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    • pp.109-120
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    • 2010
  • We have developed mathematically precise image-processing algorithms for extracting rectilinear images from fisheye images as well as digital pan/tilt/zoom technology. Using this technology, vertical lines always appear as vertical lines in the panned and/or tilted images. Furthermore, polygonal panoramic images composed of multiple rectilinear images have been obtained using the developed digital pan/tilt technology.

KOMPSAT-1 EOC 표준영상 처리

  • 전정남;김윤수
    • 항공우주기술
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    • 제2권1호
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    • pp.197-204
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    • 2003
  • 일반적인 영상처리는 원시영상을 표준영상과 부가가치영상으로 제작하고 생성된 데이터들과 보조 데이터들을 정기적으로 저장하며, 외부 사용자들에게 영상을 제공하기위해서 검색 데이터들을 Update하는 것이라고 할 수 있다. 표준영상을 제작하기 위해서는 EOC 처리시스템 소프트웨어를 사용하고, 이 데이터들로부터 부가가치영상물을 제작한다. 이렇게 만들어진 데이터들은 인터넷을 통해 외부사용자들에게 검색을 가능하게 하고, 영상을 신속하게 제공받을 수 있다. 본 기술논문에서는 EOC 처리시스템에 관해 간략히 설명하고, 위성으로부터 받은 원시영상을 표준영상으로 처리하는 과정을 체계적으로 정리하였다.

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The Advanced Digital Special Images and Technology

  • Nakajima, Masayuki
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 1996년도 Proceedings International Workshop on New Video Media Technology
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    • pp.50-55
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    • 1996
  • Multimedia boom has happened worldwide these days. In multimedia, we use several kinds of media such as character, figure, voice, music, still images, moving picture etc.. Then I think image including moving picture is the most effective and important media for human being. Creating digital images using a computer has the following two main approaches, depending on how the computer is used. 1. CG Technology. Created images, produced through computer graphics. 2. Digital Image Processing. Images processed through digital image processing technologies. Approach (1) is very popular as Computer Graphics. Two-dimensional and three-dimensional computer graphics techniques are used over wide applications today. On the other hand, Approach (2), which uses digital image processing technology, has been attracting attention lately, in the filed of movies and television. In this report, I will introduce these approaches of CG and digital image processing, and show some application fields such as current movies.

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A Computationally Efficient Retina Detection and Enhancement Image Processing Pipeline for Smartphone-Captured Fundus Images

  • Elloumi, Yaroub;Akil, Mohamed;Kehtarnavaz, Nasser
    • Journal of Multimedia Information System
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    • 제5권2호
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    • pp.79-82
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    • 2018
  • Due to the handheld holding of smartphones and the presence of light leakage and non-balanced contrast, the detection of the retina area in smartphone-captured fundus images is more challenging than retinography-captured fundus images. This paper presents a computationally efficient image processing pipeline in order to detect and enhance the retina area in smartphone-captured fundus images. The developed pipeline consists of five image processing components, namely point spread function parameter estimation, deconvolution, contrast balancing, circular Hough transform, and retina area extraction. The results obtained indicate a typical fundus image captured by a smartphone through a D-EYE lens is processed in 1 second.

FREE VIEWPOINT IMAGE RECONSTRUCTION FROM 3-D MULTI-FOCUS IMAGING SEQUENCES AND ITS IMPLEMENTATION BY CELL-BASED COMPUTING

  • Yonezawayz, Hiroki;Kodamay, Kazuya;Hamamotoz, Takayuki
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.751-754
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    • 2009
  • This paper deals with the Cell-based distributed processing for generating free viewpoint images by merging multiple differently focused images. We previously proposed the method of generating free viewpoint images without any depth estimation. However, it is not so easy to realize real-time image reconstruction based on our previous method. In this paper, we discuss the method to reduce the processing time by dimension reduction for image filtering and Cell-based distributed processing. Especially, the method of high-speed image reconstruction by the Cell processor on SONY PLAYSTATION3(PS3) is described in detail. We show some experimental results by using real images and we discuss the possibility of real-time free viewpoint image reconstruction.

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Digital Image Processing for Dynamic Color Images of Laryngeal Lesions Obtained With Electronic Videoendoscopy

  • Kawaida, Masahiro
    • 대한음성언어의학회:학술대회논문집
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    • 대한음성언어의학회 1998년도 제10회 학술대회 심포지움
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    • pp.192-193
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    • 1998
  • Introduction : Laryngeal lesions were observed using the OLYMPUS EVIS-200 electronic videoendoscope system attached to the OLYMPUS ENF-200 rhinolarynx endoscope portion. This endoscope portion can be introduced into the laryngeal cavity by inserting it through the nasal passages. Since it is also possible to connect the OLYMPUS EVIP-230 digital image processor capable of processing dynamic images in real time to this system, an attempt has also been made to process the dynamic color images of laryngeal lesions obtained with the electronic videoendoscope system. Structure enhancement and color enhancement were peformed as processing images. The images of laryngeal lesions obtained with this system and the processed images are presented and described from the standpoint of diagnostic usefulness (omitted)

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Balloon을 이용한 3차원 Visible human 컬러 영상의 분할 방법 (Segmentation of 3D Visible Human Color Images by Balloon)

  • 김한영;김동성;강흥식
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2001년도 하계종합학술대회 논문집(5)
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    • pp.73-76
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    • 2001
  • A segmentation is a prior processing for medical image analysis and 3D reconstruction. This Paper provides the method to segment 3D Visible Human color images. Firstly, the reference images that have a initial curve are segmented using Balloon and the results are propagated to the adjacent images. In the propagation processing, the result of the adjacent slice is modified by Edge-limited SRG Finally, the 3D Balloon improves the segmentation results of each 2D slice. the proposed method's performance was verified through the experiments to segment thigh muscles of Visible Human color images.

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초고속 후두내시경 영상을 이용한 평면 스캔 비디오카이모그래피 영상 생성 (Post-Processing of High-Speed Video-Laryngoscopic Images to Two-Dimensional Scanning Digital Kymographic Images)

  • 차원재;왕수건;장전엽;김근효;이연우
    • 대한후두음성언어의학회지
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    • 제28권2호
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    • pp.89-95
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    • 2017
  • Background and Objectives : High-speed videolaryngoscopy (HSV) is the only technique that captures the true intra-cycle vibratory behavior of the vocal folds by capturing full images of the vocal folds. However, it has problems of no immediate feedback during examination, considerable waiting time for digital kymography (DKG), recording duration limited to a few seconds, and extreme demands for storage space. Herein, we demonstrate a new post-processing method that converts HSV images to two-dimensional digital kymography (2D-DKG) images, which adopts the algorithm of 2D videokymography (2D VKG). Materials and Methods : HSV system was used to capture images of vocal folds. HSV images were post-processed in Kay image-process software (KIPS), and conventional DKG images were retrieved. Custom-made post-processing system was used to convert HSV images to 2D-DKG images. The quantitative parameters of the post-processed 2D-DKG images was validated by comparing these parameters with those of the DKG images. Results : Serial HSV images for all phases of vocal fold vibratory movement are included. The images were converted by the scanning method using U-medical image-process software. Similar to conventional DKG, post-processed 2D DKG image from the HSV image can provide quantitative information on vocal fold mucosa vibration, including the various vibratory phases. Differences in amplitude symmetry index, phase symmetry index, open quotient, and close quotient between 2D-DKG and DKG were analyzed. There were no statistical differences between the quantitative parameters of vocal fold vibratory movement in 2D-DKG and DKG. Conclusion : The post-processing method of converting HSV images to 2D DKG images could provide clinical information and storage economy.

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