• Title/Summary/Keyword: National image

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Suitability of the PKNU 2 System for Generating the Orthophoto Map

  • Lee, Eun-Khung;Lee, Chang-Hun;Choi, Chul-Uong;Kim, Young-Seup
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.100-102
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    • 2003
  • This system is capable of obtaining quantitative information from images using natural features on the ortho-image maps that correspond with those from topographical maps. However, the qualitative information can also be obtained because because of the excellent visibility of ortho-image maps. There are plenty of promise for the use of ortho-image maps in the next generation topographic technology because of its wider applicability within the field. In keeping with the cutting edge, we produced ortho-image maps by scanning a specified area in narrow sections using the PKNU 2: a multispectral digital aerial photographing system made by ourselves. We evaluated the precision of the ortho-image maps, and performed an evaluation of the PKNU 2 system's capacity to improve the equipment of the PKNU 2. Ortho-image maps were made using Ground Control Points (GCPs) which were obtained from digital maps and aerial photographs of the PKNU 2. Thus, we demonstrated that it was possible to produce the ortho-image maps, which has a good constant level rate of less than 1m. The PKNU 2 system needs to be improving in the sensitivity of level maintenance equipment in the evaluation in terms of performance. It is thus required to survey the GCPs precisely for an accurate study.

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Deskewing Document Image using the Gradient of the Spaces Between Sentences. (문장 사이의 공백 기울기를 이용한 문서 이미지 기울기 보정)

  • Heo, Woo-hyung;Gu, Eun-jin;Kim, Cheol-ki;Cha, Eui-young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.379-381
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    • 2013
  • In this paper, we propose a method to detect the gradient of the spaces between sentences and to deskew in the document image. First, gradient is measured by pixels for spaces between sentences that has been done an edge extraction in document image and then skewed image is corrected by using the value of the gradient which has been measured. Since document image is divided into several areas, it shows a robust processing result by handling the margin, images, and multistage form in the document. Because the proposed method does not use pixel of the character region but use the blank area, degraded document image as well as vivid document image is effectively corrected than conventional method.

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Liver Segmentation and 3D Modeling from Abdominal CT Images

  • Tran, Hong Tai;Oh, A Ran;Na, In Seop;Kim, Soo Hyung
    • Smart Media Journal
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    • v.5 no.1
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    • pp.49-54
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    • 2016
  • Medical image processing is a compulsory process to diagnose many kinds of disease. Therefore, an automatic algorithm for this task is highly demanded as an important part to construct a computer-aided diagnosis system. In this paper, we introduce an automatic method to segment the liver region from 3D abdominal CT images using Otsu method. First, we choose a 2D slice which has most liver information from the whole 3D image. Secondly, on the chosen slice, we enhanced the image based on its intensity using Otsu method with multiple thresholds and use the threshold to enhance the whole 3D image. Then, we apply a liver mask to mark the candidate liver region. After that, we execute the Otsu method again to segment the liver region from the chosen slice and propagate the result to the whole 3D image. Finally, we apply preprocessing on the frontal side of 3D images to crop only the liver region from the image.

Deep Learning in MR Image Processing

  • Lee, Doohee;Lee, Jingu;Ko, Jingyu;Yoon, Jaeyeon;Ryu, Kanghyun;Nam, Yoonho
    • Investigative Magnetic Resonance Imaging
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    • v.23 no.2
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    • pp.81-99
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    • 2019
  • Recently, deep learning methods have shown great potential in various tasks that involve handling large amounts of digital data. In the field of MR imaging research, deep learning methods are also rapidly being applied in a wide range of areas to complement or replace traditional model-based methods. Deep learning methods have shown remarkable improvements in several MR image processing areas such as image reconstruction, image quality improvement, parameter mapping, image contrast conversion, and image segmentation. With the current rapid development of deep learning technologies, the importance of the role of deep learning in MR imaging research appears to be growing. In this article, we introduce the basic concepts of deep learning and review recent studies on various MR image processing applications.

Research for Image Enhancement using Anti-halation Disk for Compact Camera Module (헤일레이션 방지 디스크를 이용한 소형 카메라 이미지 화질개선 연구)

  • Kim, Tae-Kyu;Song, In-Ho;Han, Chan-Ho
    • Journal of the Institute of Convergence Signal Processing
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    • v.17 no.1
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    • pp.26-31
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    • 2016
  • In this paper, we propose an image quality evaluation system for compact camera module and assess the effect of optical performance improvement for proposed anti-halation disk in small lens. We develop a image quality evaluation system for quality estimation of camera module image. And we also develop a program to control register in image signal processor. Finally the resolution, brightness, and color reproduction performances were evaluated image quality comparison between conventional and proposed camera module using developed quality evaluation system and ISP register control program.

Suggestions for Korea's Corporate Image, Product Image, and Purchase Intention with Consumer Hostility: Focusing on Korean Wave and Satisfaction Variables

  • Bae, Jeong-Min;Lee, Chun-Su
    • East Asian Journal of Business Economics (EAJBE)
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    • v.6 no.4
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    • pp.25-34
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    • 2018
  • Purpose - The purpose of this study is to investigate the effect of Korean Wave on consumer intentions by adjusting the Korean image and image of Korean company to counterbalance the hostility through the control effect of Korean Wave. Research design and methodology - This paper measure individual and national hostility and suggest that the effect of the adjustment of Korean culture satisfaction on corporate image, product image and consumer's purchase intention. Results - This study suggests the subjects to be studied empirically by presenting research themes and models, but it is necessary to verify the model through statistical verification since it is not verified empirically. In addition, it is necessary to further control factors and identification of anti-marginal or anti-marginal products. Conclusions - This study suggests research topics that investigate how hostility affects Korean Wave in consideration of the current special situation, while conventional researches mainly focus on ethnocentrism and patriotism. In this way, this study suggests research direction that helps to enhance corporate image and product image by eliminating hostility and actively utilizing Korean Wave. The Proposal will be helpful to provide a frame for empirical analysis in future and to develop strategic means to further utilize it in international marketing.

Research on chinese college students' perception of korean image

  • Xiaoyue Song;Jinling Wan
    • Journal of the International Relations & Interdisciplinary Education
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    • v.2 no.2
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    • pp.9-33
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    • 2022
  • This paper mainly studies the national impression of college students on South Korea, selects students from some key universities as the target population, and conducts an in-depth investigation from the overall impression of South Korea, diplomatic image, food culture, language culture, tourism, entertainment circle and other aspects. Through a questionnaire survey of Chinese college students, this paper studies the image of South Korea in the eyes of contemporary Chinese college students, including the following aspects: First, Research the current Chinese college students' perception of the overall image of South Korea; Second, it studies the current Chinese college students' perception of the image of South Korea in the diplomatic, language, food, tourism and entertainment circles, and analyzes the internal dimensions of the image of South Korea in the minds of Chinese college students; Third, it studies the current Chinese college students' cognition of the overall image of South Koreans, and analyzes the internal dimensions of the image of South Koreans in the minds of Chinese college students; Fourth, to investigate the evaluation of Chinese college students on the image of South Korea. The survey results are analyzed from the perspectives of all subjects and gender differences, combined with the theories of communication and intercultural communication, and suggestions and prospects for the future development of the national image are made.

Secret Image Sharing Scheme using Matrix Decomposition and Adversary Structure (행렬 분해와 공격자 구조를 이용한 비밀이미지 공유 기법)

  • Hyun, Suhng-Ill;Shin, Sang-Ho;Yoo, Kee-Young
    • Journal of Korea Multimedia Society
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    • v.17 no.8
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    • pp.953-960
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    • 2014
  • In Shamir's (t,n)-threshold based secret image sharing schemes, there exists a problem that the secret image can be reconstructed when an arbitrary attacker becomes aware of t secret image pieces, or t participants are malicious collusion. It is because that utilizes linear combination polynomial arithmetic operation. In order to overcome the problem, we propose a secret image sharing scheme using matrix decomposition and adversary structure. In the proposed scheme, there is no reconstruction of the secret image even when an arbitrary attacker become aware of t secret image pieces. Also, we utilize a simple matrix decomposition operation in order to improve the security of the secret image. In experiments, we show that performances of embedding capacity and image distortion ratio of the proposed scheme are superior to previous schemes.

An X-ray Image Panorama System Using Robust Feature Matching and Per ception-Based Image Enhancement

  • Wang, Weiwei;Gwun, Oubong
    • Journal of Korea Multimedia Society
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    • v.15 no.5
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    • pp.569-576
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    • 2012
  • This paper presents an x-ray medical image panorama system which can overcome the smallness of the images that exist on a source computer during remote medical processing. In the system, after the standard medical image format DICOM is converted to the PC standard image format, a MSR algorithm is used to enhance X-ray images of low quality. Then SURF and Multi-band blending are applied to generate a panoramic image. Also, this paper evaluates the proposed SURF based system through the average gray value error and image quality criterion with X-ray image data by comparing with a SIFT based system. The results show that the proposed system is superior to SIFT based system in image quality.

A study on quality transformation of Digital printing photograph according to Comporession Method (압축방식에 따른 디지털 인쇄사진의 품질 변화에 관한 연구)

  • Cho, Ga-Ram;Koo, Chul-Whoi
    • Journal of the Korean Graphic Arts Communication Society
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    • v.21 no.1
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    • pp.35-44
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    • 2003
  • Because of computer developing, the digital image making the use of many a field of application with - web-above, electronic publishing. printing, dynamic image management and photo CD production etc., however many problems of save and management. The management image use of compression moth which don't have a affect on image, reduce file size. A study used sequential DCT0based mode and progressive DCT-based mode of JPEG(Joing Photographic Experts Group) compression method and Wavelet compression method. Therefore, the analog image and digital image was changed and applied by several stages according to compression rate. It made inquiries of the optimum compression rate that be compared quality transformation between original image and compressed image. As compression image was printing simply, the quality was studied by subjective valuation method, that was studied propriety and usefulness.

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