• Title/Summary/Keyword: Eye Image

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Appendicitis Extraction of Abdomen Ultrasonographic Images using Facia (근막을 이용한 복부 초음파 영상에서 충수염 추출)

  • Park, Seung-Ik;Song, Doo Heon;Kim, Kwang-Baek
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.11
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    • pp.2382-2387
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    • 2012
  • In this paper, we propose a new method to extract and analyze appendicitis from abdomen ultrasonographic image in order to measure the thickness of appendix and change of inflammation correctly. Since the ultrasonographic image has environmental effect in nature, we standardize the image first and the process of extracting appendicitis then extracts the bottom facia which has the critical role to find appendix area. The experiment with real appendicitis patient verifies that the proposed method is more effective than current field expert's naked eye inspection.

Automatic Speechreading Feature Detection Using Color Information (색상 정보를 이용한 자동 독화 특징 추출)

  • Lee, Kyong-Ho;Yang, Ryong;Rhee, Sang-Burm
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.6
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    • pp.107-115
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    • 2008
  • Face feature detection plays an important role in application such as automatic speechreading, human computer interface, face recognition, and face image database management. We proposed a automatic speechreading feature detection algorithm for color image using color information. Face feature pixels is represented for various value because of the luminance and chrominance in various color space. Face features are detected by amplifying, reducing the value and make a comparison between the represented image. The eye and nose position, inner boundary of lips and the outer line of the tooth is detected and show very encouraging result.

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Development of Retina Photographing and Multi Channel Image Acquisition System for Thickness Measurement of Retina (망막 두께 측정을 위한 망막 촬영 및 다채널 영상획득장치 개발)

  • 양근호
    • Journal of the Institute of Convergence Signal Processing
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    • v.5 no.1
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    • pp.13-17
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    • 2004
  • In order to measure the retina thickness, the retina photographing system and the multi-channel high speed image data acquisition system is developed. This system requires the optical processing techniques and the high speed image processing techniques. The HeNe laser beam is projected the retina in artificial eye and then we sensed the reflected laser signal using APD array. The laser projection system on retina using optical instruments is implemented. In order to project the plane laser beam on retina, laser photographing system used the polygon mirror for horizontal scanning and the galvano mirror for vertical scanning. We acquired retina images in each channel of APD array, transferred computer using PCI interface the image data after real-time A/D converting.

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Vision-based Self Localization Using Ceiling Artificial Landmark for Ubiquitous Mobile Robot (유비쿼터스 이동로봇용 천장 인공표식을 이용한 비젼기반 자기위치인식법)

  • Lee Ju-Sang;Lim Young-Cheol;Ryoo Young-Jae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.5
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    • pp.560-566
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    • 2005
  • In this paper, a practical technique for correction of a distorted image for vision-based localization of ubiquitous mobile robot. The localization of mobile robot is essential and is realized by using camera vision system. In order to wide the view angle of camera, the vision system includes a fish-eye lens, which distorts the image. Because a mobile robot moves rapidly, the image processing should he fast to recognize the localization. Thus, we propose the practical correction technique for a distorted image, verify the Performance by experimental test.

Color Noise Detection and Image Restoration for Low Illumination Environment (저조도 환경 기반 색상 잡음 검출 및 영상 복원)

  • Oh, Gyoheak;Lee, Jaelin;Jeon, Byeungwoo
    • Journal of Broadcast Engineering
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    • v.26 no.1
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    • pp.88-98
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    • 2021
  • Recently, the crime prevention and culprit identification even in a low illuminated environment by CCTV is becoming ever more important. In a low lighting situation, CCTV applications capture images under infrared lighting since it is unobtrusive to human eye. Although the infrared lighting leads to advantage of capturing an image with abundant fine texture information, it is hard to capture the color information which is very essential in identifying certain objects or persons in CCTV images. In this paper, we propose a method to acquire color information through DCGAN from an image captured by CCTV in a low lighting environment with infrared lighting and a method to remove color noise in the acquired color image.

An Automatic Strabismus Screening Method with Corneal Light Reflex based on Image Processing

  • Huang, Xi-Lang;Kim, Chang Zoo;Choi, Seon Han
    • Journal of Korea Multimedia Society
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    • v.24 no.5
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    • pp.642-650
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    • 2021
  • Strabismus is one of the most common disease that might be associated with vision impairment. Especially in infants and children, it is critical to detect strabismus at an early age because uncorrected strabismus may go on to develop amblyopia. To this end, ophthalmologists usually perform the Hirschberg test, which observes corneal light reflex (CLR) to determine the presence and type of strabismus. However, this test is usually done manually in a hospital, which might be difficult for patients who live in a remote area with poor medical access. To address this issue, we propose an automatic strabismus screening method that calculates the CLR ratio to determine the presence of strabismus based on image processing. In particular, the method first employs a pre-trained face detection model and a 68 facial landmarks detector to extract the eye region image. The data points located in the limbus are then collected, and the least square method is applied to obtain the center coordinates of the iris. Finally, the coordinate of the reflective light point center within the iris is extracted and used to calculate the CLR ratio with the coordinate of iris edges. Experimental results with several images demonstrate that the proposed method can be a promising solution to provide strabismus screening for patients who cannot visit hospitals.

Framing advocacy event: Comparing news coverage and Facebook comments of the Belt and Road Forum in Pakistan and the USA

  • Xu, Yi
    • Journal of Contemporary Eastern Asia
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    • v.20 no.1
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    • pp.1-23
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    • 2021
  • With regard to the recent developments in public diplomacy, the increasing fusion of strategic communication appears necessary. China engages in public diplomacy with a strategic purpose to shape its national image abroad. Hosting diplomatic advocacy event is regarded as an instrument with expectations to present reliable and responsible image and promote international collaborations. The present research focuses on the Belt and Road Forum (BRF) in May 2017 with the objective to analyze its outcomes and influence on the international news agenda, news frames, and foreign citizens' comments online. The quantitative content analyses are used to compare the media reports (N=364) and Facebook users' comments on the selected news (N=957) between the US and Pakistan. Results reveal that Pakistani media provided more diverse frames and attributed more positive evaluations to the BRF than the US media. However, Facebook comments expressed more unfavorable opinions toward the BRF and China's image with rare differences between two countries. In conclusion, the BRF has served as an eye-catching advocacy of Chinese foreign policy, as it influenced the news agenda in two selected countries. However, news frames vary due to the differences in media system and the involvement in the BRF. China's public diplomacy practices follow a traditional top-down communication which needs meticulous subdivision of target stakeholders, delicate messaging strategies, and integrated tactics.

Motility Analysis of Gate Myocardium SPECT Image Using Left Ventricle Myocardium Model (좌심실 심근 모델을 이용한 게이트 심근 SPECT 영상의 운동성 분석)

  • 손병환;김재영;이병일;이동수;최흥국
    • Journal of Korea Multimedia Society
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    • v.6 no.3
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    • pp.444-454
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    • 2003
  • An analysis of heart movement is to estimate a role which supplies blood in human body. We have constructed a left ventricle myocardium model and mathematically evaluated the motion of myocardium. The myocardial motility was visualized using some parameters about cardiac motion. We applied the myocardium model in the gated myocardium SPECT image that showed a cardiac biochemical reaction, and analyzed a motility between the gated myocardium SPECT image and the myocardium model. The myocardium model was created of the based on three dimensional super-ellipsoidal model that was using the sinusoidal function. To express a similar form and motion of the left ventricle myocardium, we calculated parameter functions that gave the changing of motion and form. The LSF algorithm was applied to the myocardium gated SPECT image data and the myocardium model, and finally created a fitting model. Then we analyzed a regional motility direction and size of the gated myocardium SPECT image that was constructed on a fitting model. Furthermore, we implemented the Bull's Eye map that had evaluated the heart function for presentation of regional motility. Using myocardium's motion the evaluation of cardiac function of SPECT was estimated by a contraction ability, perfusion etc. However, it is not any estimation about motility. So, We analyzed the myocardium SPECT's motility of utilizing the myocardium model. We expect that the proposed algorithm should be a useful guideline in the heart functional estimation.

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3-D Radiosurgery Planning Using Personal Computer (Personal Computer를 이용한 3차원적 뇌정위적 방사선 치료계획)

  • 서태석;서덕영;박찬일;하성환;강위생
    • Progress in Medical Physics
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    • v.3 no.1
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    • pp.63-69
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    • 1992
  • Recently, stereotactic radiosurgery plan is required with the information of 3-D image and dose distribution. The purpose of this research is to develop 3-D radiosurgery planning system using personal computer. The procedure of this research is based on three steps. The first step is to input the image information of the patient obtained from CT or MR scan into personal computer through on-line or digitizer. The position and shape of target are also transferred into computer using Angio or CT localization. The second step is to compute dose distribution on image plane, which is transformed into stereotactic frame coordinate. and to optimize dose distribution through the selection of optimal treatment parameters. The third step is to display both isodose distribution and patient image simultaneously using superimpose technique. This prototype of radiosurgery planning system was applied recently for several clinical cases. It was shown that our planning system is fast, accurate and efficient while making it possible to handle various kinds of image modelities such as angio, CT and MRI. It is also possible to develop 3-D planning system in radiation therapy using beam's eye view or CT simulation in future.

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Tamper Detection of Digital Images using Hash Functions (해쉬 함수를 이용한 디지털 영상의 위변조 검출)

  • Woo, Chan-Il;Lee, Seung-Dae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.7
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    • pp.4516-4521
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    • 2014
  • Digital watermarking for digital image authentication and integrity schemes are based on fragile watermarking and can detect any modifications in a watermark embedded image by comparing the embedded watermark with the regenerated watermark. Therefore, the digital watermark for image authentication and integrity should be erased easily when the image is changed by digital image processing, such as scaling or filtering etc. This paper proposes an effective tamper detection scheme for digital images. In the proposed scheme, the original image was divided into many non-overlapping $2{\times}2$ blocks. The digital watermark was divided into two LSB of each block and the image distortion was imperceptible to the human eye. The watermark extraction process can be used to determine if the watermarked image has been tampered. The experimental results successfully revealed the effectiveness of the proposed scheme.