• Title/Summary/Keyword: Image Use

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Noise Changes in Image Plate (시간변화에 따른 영상판의 노이즈 변화)

  • Choi, Seokyoon;Im, In-Chul
    • Journal of the Korean Society of Radiology
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    • v.12 no.2
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    • pp.271-275
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    • 2018
  • It is possible to do not use the Image Plate for a long time in the clinic. for the acquisition of reliable images the decommissioning process is very important. In this study, we would like to look at complex noises that may occur during Image Plate use depending on the frequency and time of day. first, we got the image from computer radiography. second, We calculate the noise changes using Peak Signal to Noise Ratio(PSNR) and Noise Power Spectrum(NPS). finally, we suggest that remove the noise from the IP for more than 4 hours. and It turned out to be better to remove the noise more than once. this study will be a quantitative reference for Image Plate management and use in the clinical trial.

Spatial Image Information Generation of Rock Wall by Automatic Focal Length Extraction System (초점거리 자동추출 시스템에 의한 암벽의 공간영상정보 생성)

  • Lee, Jae-Kee;Lee, Kye-Dong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.25 no.5
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    • pp.427-436
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    • 2007
  • Because the slope made up the construction of any other facilities, has many risks of a collapse, existing inspection methods to collect information for a construction site of slope bring up a long time of inspection period, cost and approach for a measuring instrument and it presents the critical point of collecting materials. For getting images to use zoom lens in any positions this study will use free zoomer constructed values of data classified by the focal length develop Image Loader system to make it load not only camera information but also camera test data values of the focal length took a photograph automatically if it measure to use a variety of cameras or other lens. Also, as it constructs three dimensions spatial image information from images of obtained objects this study presents effective basic materials of slope surveying and inspection and it shows exact surveying methods for dangerous slope not to access.

A Study on Applications of Wavelet Bases for Efficient Image Compression (효과적인 영상 압축을 위한 웨이브렛 기저들의 응용에 관한 연구)

  • Jee, Innho
    • Journal of IKEEE
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    • v.21 no.1
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    • pp.39-45
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    • 2017
  • Image compression is now essential for applications such as transmission and storage in data bases. For video and digital image applications the use of long tap filters, while not providing any significant coding gain, may increase the hardware complexity. We use a wavelet transform in order to obtain a set of bi-orthogonal sub-classes of images; First, the design of short kernel symmetric analysis is presented in 1-dimensional case. Second, the original image is decomposed at different scales using a subband filter banks. Third, this paper is presented a technique for obtaining 2-dimensional bi-orthogonal filters using McClellan transform. It is shown that suggested wavelet bases is well used on wavelet transform for image compression. From performance comparison of bi-orthogonal filter, we actually use filters close to ortho-normal filters on application of wavelet bases to image analysis.

Factors Influencing Customers to Use Digital Banking Application in Yogyakarta, Indonesia

  • MUFARIH, Muhammad;JAYADI, Riyanto;SUGANDI, Yovin
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.897-907
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    • 2020
  • The development of information technology and the demands of society on an application in an operating system, as well as increasing the specifications and sophistication of smartphones, require banks to make changes to their mobile banking applications. The transformation of the mobile banking application into a digital banking application conducted by banks has made users re-evaluate based on their preferences. This study presents the behavior of users of digital banking applications in Yogyakarta, Indonesia. The hypothesis model is based on Technology Acceptance Model (TAM) with additional factors of the social image, perceived risk and perceived trust adopted from Muñoz-Leiva et al. (2017). The methodology in this study includes data collection through questionnaires distributed online and data analysis using the Structural Equation Model. The results of this study illustrate that the perceived trust and perceived risk have a more dominant part in influencing user attitude and user intention to use digital banking. Meanwhile, social image, perceived ease-of-use and perceived usefulness are not significant in influencing user attitude and user intention to use digital banking. The implication of this research helps to determine the right communication and strategy so that more users with more benefits can utilize this digital banking application.

A Neuro-Fuzzy Pedestrian Detection Method Using Convolutional Multiblock HOG (컨볼루션 멀티블럭 HOG를 이용한 퍼지신경망 보행자 검출 방법)

  • Myung, Kun-Woo;Qu, Le-Tao;Lim, Joon-Shik
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.7
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    • pp.1117-1122
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    • 2017
  • Pedestrian detection is a very important and valuable part of artificial intelligence and computer vision. It can be used in various areas for example automatic drive, video analysis and others. Many works have been done for the pedestrian detection. The accuracy of pedestrian detection on multiple pedestrian image has reached high level. It is not easily get more progress now. This paper proposes a new structure based on the idea of HOG and convolutional filters to do the pedestrian detection in single pedestrian image. It can be a method to increase the accuracy depend on the high accuracy in single pedestrian detection. In this paper, we use Multiblock HOG and magnitude of the pixel as the feature and use convolutional filter to do the to extract the feature. And then use NEWFM to be the classifier for training and testing. We use single pedestrian image of the INRIA data set as the data set. The result shows that the Convolutional Multiblock HOG we proposed get better performance which is 0.015 miss rate at 10-4 false positive than the other detection methods for example HOGLBP which is 0.03 miss rate and ChnFtrs which is 0.075 miss rate.

Policy Direction for Promoting the Satellite Data Use in Public Sector

  • Kim, Young-Pyo;Sakong, Ho-Sang;Park, Sung-Mi
    • Korean Journal of Remote Sensing
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    • v.15 no.4
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    • pp.329-337
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    • 1999
  • With the ready access to the high resolution satellite image data, users of and areas covered by satellite image data are constantly on the rise world-widely. Korea will also be able to take full advantage of the satellite data once the Korea Multi-Purpose Satellite 1 (KOMPSAT-l) is successfully launched. Harmonizing satellite data production and application technology and users' needs, along with the guiding policy is essential for promoting satellite data use. Up to now, the Korean government has mainly concentrated on developing production technology for the satellite instruments. However, the imminent task of independent satellite data production demands a promotion policy for satellite data use. In this context, the policy is defined as an important medium for identifying the role and status of satellite image information at the national level and also preparing the legal as well as systematic foundation for producing, building, distributing, and packaging satellite data. The present paper aims to examine the role and status of the satellite data as well as their current status and problems in Korea in reference to the National Spatial Data Infrastructure, and finally to provide the policy directions to promote the satellite data use in public sector on the basis of the preceding analyses.

The Suggestion of Particular Area Image Search Method (부분 영역 이미지 검색 방법의 제안)

  • Kim, Sungkon
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.4
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    • pp.355-360
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    • 2018
  • We propose a method to connect partial image in whole image to partial image in whole image of other internet site. For this study, we have developed four partial image generation methods and retrieval methods. A method of 'image segmentation' that cuts out only partial images that want to provide information from the whole image, a method of 'creating an image block' that finds outermost points of a cut-out partial image, a method of 'Stamp transformation of outer points', which connects outer points and registers them as the most similar image stamp, and a retrieval method that connects image stamps with other image stamps are developed. We suggested a image search UI that can use image stamps in various ways.

Implementation of an Image Grabber System for Medical Image Examination

  • Ban Yong Hwan;Hwang Jeong Tae;Ryu Sang Joon;Kim Young Chul
    • Proceedings of the IEEK Conference
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    • 2004.08c
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    • pp.747-750
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    • 2004
  • The researching content of this article is to implement the image grabber system for use the dental hospital image examination. It receives the NTSC analog image through CCD optical camera, which is using the close photographing. we made the image grabber board, which gathers and obtains the analog image, by PCI format. We developed the C++ application and device drive to operate this board so that we totally could implement and confirm this Image grabber system.

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PPD: A Robust Low-computation Local Descriptor for Mobile Image Retrieval

  • Liu, Congxin;Yang, Jie;Feng, Deying
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.4 no.3
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    • pp.305-323
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    • 2010
  • This paper proposes an efficient and yet powerful local descriptor called phase-space partition based descriptor (PPD). This descriptor is designed for the mobile image matching and retrieval. PPD, which is inspired from SIFT, also encodes the salient aspects of the image gradient in the neighborhood around an interest point. However, without employing SIFT's smoothed gradient orientation histogram, we apply the region based gradient statistics in phase space to the construction of a feature representation, which allows to reduce much computation requirements. The feature matching experiments demonstrate that PPD achieves favorable performance close to that of SIFT and faster building and matching. We also present results showing that the use of PPD descriptors in a mobile image retrieval application results in a comparable performance to SIFT.

Smart Phone Road Signs Recognition Model Using Image Segmentation Algorithm

  • Huang, Ying;Song, Jeong-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.887-890
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    • 2012
  • Image recognition is one of the most important research directions of pattern recognition. Image based road automatic identification technology is widely used in current society, the intelligence has become the trend of the times. This paper studied the image segmentation algorithm theory and its application in road signs recognition system. With the help of image processing technique, respectively, on road signs automatic recognition algorithm of three main parts, namely, image segmentation, character segmentation, image and character recognition, made a systematic study and algorithm. The experimental results show that: the image segmentation algorithm to establish road signs recognition model, can make effective use of smart phone system and application.

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