• 제목/요약/키워드: imaging device

검색결과 616건 처리시간 0.025초

CCD Camera 기반 실시간 방사선치료조사면 검증 시스템 개발 및 화질개선을 위한 기초연구 (System Development and Fundamental Study of CCD Camera Based Electronic Portal Imaging Device)

  • 장기원;박지군;이동길;김진영;남상희;하성환
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2003년도 추계학술대회 논문집 Vol.16
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    • pp.380-383
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    • 2003
  • The purpose of this study is to develope prototype EPID system and improve image quality of radiation therapy field imaging system using CCD camera. For this research we used Linac(Clinac 4/100), Copper metal plate, $Gd_2O_2S_2$ phosphor and CCD camera(Photronic). In this study we find best thickness of buil-up metal plate and acquired projection image of humanoid head phantom. Also we enhanced raw image data using superposition and histogram stretching method. Through the thickness optimized of metal plate and image processing, we confirmed of an improved image quality of an EPID system using CCD camera. As result, highest quality image was acquired at 1mm thickness of Copper metal plate and improved image quality by image processing methods.

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A Beamforming-Based Video-Zoom Driven Audio-Zoom Algorithm for Portable Digital Imaging Devices

  • Park, Nam In;Kim, Seon Man;Kim, Hong Kook;Kim, Myeong Bo;Kim, Sang Ryong
    • IEIE Transactions on Smart Processing and Computing
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    • 제2권1호
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    • pp.11-19
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    • 2013
  • A video-zoom driven audio-zoom algorithm is proposed to provide audio zooming effects according to the degree of video-zoom. The proposed algorithm is designed based on a super-directive beamformer operating with a 4-channel microphone array in conjunction with a soft masking process that uses the phase differences between microphones. The audio-zoom processed signal is obtained by multiplying the audio gain derived from the video-zoom level by the masked signal. The proposed algorithm is then implemented on a portable digital imaging device with a clock speed of 600 MHz after different levels of optimization, such as algorithmic level, C-code and memory optimization. As a result, the processing time of the proposed audio-zoom algorithm occupies 14.6% or less of the clock speed of the device. The performance evaluation conducted in a semi-anechoic chamber shows that the signals from the front direction can be amplified by approximately 10 dB compared to the other directions.

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Extracting gall bladders from ultrasound images

  • Kim, Hyoung-Seop;Ishikawa, Seiji;Kato, Kiyoshi;Tsukuda, Masaaki;Matsuoka, Jun-nosuke
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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    • pp.248-251
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    • 1995
  • Nowadays, the internal images of a human body can be easily provided by the ultrasound imaging, the X-ray CT, or the MRI device, among which the ultrasound imaging device has good resolution for soft tissues of a human body compared with the other devices. Furthermore, the use of ultrasound imaging devices will increase in future especially in the obstetrics, territory, since it does not give harm to the human body. Although several techniques have been investigated until now in order to extract organs from ultrasound images, very few of them have achieved satisfactory results because of low contrast and high noise nature of images. This paper proposes a technique for automatic extraction of the gall bladder area from ultrasound images. The proposed technique first extracts a small reliable area of a gall bladder from an ultrasound image employing smoothing, binarization, expanding and shrinking, and labeling, and then expands the area referring to the binarized version of the original image. The technique is examined its performance by real ultrasound images of a gall bladder and satisfactory results are obtained. Some problems to be solved are discussed finally.

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ICC Profile에 기반한 CCD 입력장치의 장치독립적 색재현에 관한 연구 (A Study on the Device Independent Color Reproduction of CCD Input Devices based the ICC Profile)

  • 송경철;신춘범;강상훈
    • 한국인쇄학회지
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    • 제23권1호
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    • pp.27-36
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    • 2005
  • Most of flated scanners and digital cameras in prepress process utilize CCD technology. Device calibration and characterization process is needed to transform the device dependent color to the device independent color. ICC profiles for digital input devices encapsulated information relating the device values to CIELAB or CIEXYZ coordinates. The main purposes of this article is to evaluate some of the transformation methods based on ICC proposed device profiles and to propose optimal color transformation method for accurate color imaging in printing process.

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고해상도 광학영상장비 반사경 구조해석 (Mirror Structure Analysis of High Resolution Optical Imaging Payload)

  • 권우근;김광로;이영신
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2003년도 춘계학술대회
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    • pp.462-467
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    • 2003
  • For the Space-borne optical imaging payload system design, light weighting and moderate stiffness of mirror and/or mirror fixation device is very important aspects. The front surface of mirror is regulated by optical performance requirement, but the shape of backplate of mirror is to be optimised while satisfing the required stiffness and weight. According to the results, the best shape of backplate cell is triangular. And also related geometric dimensions and the optimised mounting point of MFD(Mirror Fixation Device) is presented. Finally, natural frequencies and shpaes of mirror structure are analysed.

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Integral-floating Display with 360 Degree Horizontal Viewing Angle

  • Erdenebat, Munkh-Uchral;Baasantseren, Ganbat;Kim, Nam;Kwon, Ki-Chul;Byeon, Jina;Yoo, Kwan-Hee;Park, Jae-Hyeung
    • Journal of the Optical Society of Korea
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    • 제16권4호
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    • pp.365-371
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    • 2012
  • A three-dimensional integral-floating display with 360 degree horizontal viewing angle is proposed. A lens array integrates two-dimensional elemental images projected by a digital micro-mirror device, reconstructing three-dimensional images. The three-dimensional images are then relayed to a mirror via double floating lenses. The mirror rotates in synchronization with the digital micro-mirror device to direct the relayed three-dimensional images to corresponding horizontal directions. By combining integral imaging and the rotating mirror scheme, the proposed method displays full-parallax three-dimensional images with 360 degree horizontal viewing angle.

근골격계 초음파의 기판 조절 입문: B Mode와 Doppler (Introduction to Knobology Focusing on B Mode and Doppler Setting in Musculoskeletal Ultrasound)

  • 민경훈
    • Clinical Pain
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    • 제20권1호
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    • pp.7-14
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    • 2021
  • Musculoskeletal ultrasound has evolved as the essential tool to diagnose and guide intervention procedures in people with neuromusculoskeletal conditions. Image optimization and understanding device operations are core components for ultrasound guided intervention procedure training. All ultrasound machines share the common operative features and there are various buttons for the features in the device control panel. Ultrasound "knobology" refers to the thorough understanding of imaging optimization. This review addressed basic information for the transducers, depth setting, gain and focus control, different modes focusing on brightness and doppler modes.

영상기기의 프로파일 분석 기반 패턴추적에 의한 비디오 프레임의 위변조탐지 (Automatic Detection of Forgery in Video Frames using Analysis of Imaging Device Profile based Pattern Trace)

  • 심재연;천인혁;김성환
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2011년도 춘계학술발표대회
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    • pp.1024-1027
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    • 2011
  • 본 논문은 HD (High-definition) video, SD (Standard-definition) video, low quality video, handset video, 4 가지 Imaging Device 에 대한 프로파일 분석을 통해 비디오 프레임 상에 나타나는 위 변조를 검사하는 방법을 제안한다. High-definition video, Standard-definition video, low quality video, handset video 에 대한 분석을 하고 각 영상의 특이 점을 파악 하여 분류한 클래스에 대한 프로파일검사를 통해 EM Algorithm 을 이용하여 영상의 위 변조를 검사 하고 영상의 신뢰성을 높인다.

Convolutional Neural Networks for Character-level Classification

  • Ko, Dae-Gun;Song, Su-Han;Kang, Ki-Min;Han, Seong-Wook
    • IEIE Transactions on Smart Processing and Computing
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    • 제6권1호
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    • pp.53-59
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    • 2017
  • Optical character recognition (OCR) automatically recognizes text in an image. OCR is still a challenging problem in computer vision. A successful solution to OCR has important device applications, such as text-to-speech conversion and automatic document classification. In this work, we analyze character recognition performance using the current state-of-the-art deep-learning structures. One is the AlexNet structure, another is the LeNet structure, and the other one is the SPNet structure. For this, we have built our own dataset that contains digits and upper- and lower-case characters. We experiment in the presence of salt-and-pepper noise or Gaussian noise, and report the performance comparison in terms of recognition error. Experimental results indicate by five-fold cross-validation that the SPNet structure (our approach) outperforms AlexNet and LeNet in recognition error.