• 제목/요약/키워드: Analysis of images

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아이폰으로 촬영된 디지털 이미지의 파일 구조 및 미디어 로그 분석을 통한 법과학적 진본 확인 방법 (A Method of Forensic Authentication via File Structure and Media Log Analysis of Digital Images Captured by iPhone)

  • 박남인;이지우;전옥엽;김용진;이정환
    • 한국멀티미디어학회논문지
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    • 제24권4호
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    • pp.558-568
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    • 2021
  • The digital image to be accepted as legal evidence, it is important to verify the authentication of the digital image. This study proposes a method of authenticating digital images through three steps of comparing the file structure of digital images taken with iPhone, analyzing the encoding information as well as media logs of the iPhone storing the digital images. For the experiment, digital image samples were acquired from nine iPhones through a camera application built into the iPhone. And the characteristics of file structure and media log were compared between digital images generated on the iPhone and digital images edited through a variety of image editing tools. As a result of examining those registered during the digital image creation process, it was confirmed that differences from the original characteristics occurred in file structure and media logs when manipulating digital images on the iPhone, and digital images take with the iPhone. In this way, it shows that it can prove its forensic authentication in iPhone.

여고생의 교복과 자율복 선호이미지가 헤어 선호이미지에 미치는 영향 (The Effects of Preferred Images of School Uniform and Free Clothing on Preferred Images of Hair among High School Girls)

  • 박영희;최수경
    • 패션비즈니스
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    • 제21권1호
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    • pp.32-44
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    • 2017
  • The purpose of this study is to investigate the effects of preferred images of school uniform and free clothing on preferred images of hair among high school girls. The data were collected between November and December 2014 from 300 high school girls in their's, living in Changwon province. The data have been analyzed by using SPSS program. The methods of factor analysis, reliability analysis, and multiple regression have been adopted for the data analysis. The results of this study are as followings: The factors of preferred images of school uniform consist of six dimensions of attention, neatness, vividness, visibility, practicality, and trend. The factors of preferred images of free clothing consist of six dimensions of neatness, practicality, attention, vividness, visibility, and trend. The factors of preferred images of hair consist of six dimensions of concentration of attention, convenience, elegance, attention, trend, and cuteness. Preferred images of school uniform and free clothing resulted in a correlation with preferred images of hair. Preferred images of school uniform and free clothing had an influence on preferred image of hair. It is highly expected that this study is used as the useful sources of marketing plans of fashion industries targeting high school girls.

Automatic Extraction of Gound-glass Opacities on Lung CT Images by Histogram Analysis

  • Maekado, Masaki;Kim, Hyoung-Seop;Ishikawa, Seiji;Tsukuda, Masaaki
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.2352-2355
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    • 2003
  • In recent yeas, studies on computer aided diagnosis (CAD) using image analysis on CT images have been conducted with respect to various diseases. Extracting ground-glass opacities (GGO) on lung CT images is one of such subjects, though it has not found an established method yet. If the region of ground-glass opacities is large on CT images, it can be detected without much difficulty. On the other hand, if the region is small, it is still difficult to find it exactly. In the latter case, increasing overlooking possibility cannot be avoided according to smaller size of the region. To solve this difficulty, this paper proposes an automatic technique for extracting ground-glass opacities on lung CT images employing some statistical parameters of a gray level histogram and a differential histogram. The proposed technique is applied to some lung CT images in the performed experiment. The results are shown with discussion on future work.

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How to utilize vegetation survey using drone image and image analysis software

  • Han, Yong-Gu;Jung, Se-Hoon;Kwon, Ohseok
    • Journal of Ecology and Environment
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    • 제41권4호
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    • pp.114-119
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    • 2017
  • This study tried to analyze error range and resolution of drone images using a rotary wing by comparing them with field measurement results and to analyze stands patterns in actual vegetation map preparation by comparing drone images with aerial images provided by National Geographic Information Institute of Korea. A total of 11 ground control points (GCPs) were selected in the area, and coordinates of the points were identified. In the analysis of aerial images taken by a drone, error per pixel was analyzed to be 0.284 cm. Also, digital elevation model (DEM), digital surface model (DSM), and orthomosaic image were abstracted. When drone images were comparatively analyzed with coordinates of ground control points (GCPs), root mean square error (RMSE) was analyzed as 2.36, 1.37, and 5.15 m in the direction of X, Y, and Z. Because of this error, there were some differences in locations between images edited after field measurement and images edited without field measurement. Also, drone images taken in the stream and the forest and 51 and 25 cm resolution aerial images provided by the National Geographic Information Institute of Korea were compared to identify stands patterns. To have a standard to classify polygons according to each aerial image, image analysis software (eCognition) was used. As a result, it was analyzed that drone images made more precise polygons than 51 and 25 cm resolution images provided by the National Geographic Information Institute of Korea. Therefore, if we utilize drones appropriately according to characteristics of subject, we can have advantages in vegetation change survey and general monitoring survey as it can acquire detailed information and can take images continuously.

Multimodal Discourse: A Visual Design Analysis of Two Advertising Images

  • Ly, Tan Hai;Jung, Chae Kwan
    • International Journal of Contents
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    • 제11권2호
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    • pp.50-56
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    • 2015
  • The area of discourse analysis has long neglected the value of images as a semiotic resource in communication. This paper suggests that like language, images are rich in meaning potential and are governed by visual grammar structures which can be utilized to decode the meanings of images. Employing a theoretical framework in visual communication, two digital images are examined for their representational and interactive dimensions and the dimensions' relation to the magazine advertisement genre. The results show that the framework identified narrative and conceptual processes, relations between participants and viewers, and symbolic attributes of the images, which all contribute to the sociological interpretations of the images. The identities and relationships between viewers and participants suggested in the images signify desirable qualities that may be associated to the product of the advertiser. The findings support the theory of visual grammar and highlight the potential of images to convey multi-layered meanings.

Image Fusion Methods for Multispectral and Panchromatic Images of Pleiades and KOMPSAT 3 Satellites

  • Kim, Yeji;Choi, Jaewan;Kim, Yongil
    • 한국측량학회지
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    • 제36권5호
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    • pp.413-422
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    • 2018
  • Many applications using satellite data from high-resolution multispectral sensors require an image fusion step, known as pansharpening, before processing and analyzing the multispectral images when spatial fidelity is crucial. Image fusion methods are to improve images with higher spatial and spectral resolutions by reducing spectral distortion, which occurs on image fusion processing. The image fusion methods can be classified into MRA (Multi-Resolution Analysis) and CSA (Component Substitution Analysis) approaches. To suggest the efficient image fusion method for Pleiades and KOMPSAT (Korea Multi-Purpose Satellite) 3 satellites, this study will evaluate image fusion methods for multispectral and panchromatic images. HPF (High-Pass Filtering), SFIM (Smoothing Filter-based Intensity Modulation), GS (Gram Schmidt), and GSA (Adoptive GS) were selected for MRA and CSA based image fusion methods and applied on multispectral and panchromatic images. Their performances were evaluated using visual and quality index analysis. HPF and SFIM fusion results presented low performance of spatial details. GS and GSA fusion results had enhanced spatial information closer to panchromatic images, but GS produced more spectral distortions on urban structures. This study presented that GSA was effective to improve spatial resolution of multispectral images from Pleiades 1A and KOMPSAT 3.

현대 실내디자인 스타일 유형화에 관한 연구 - 주거 공간 디자인사례 분석을 중심으로 - (A Typological Approach to Contemporary Interior Design Style and Images)

  • 김경숙;이연숙
    • 한국실내디자인학회논문집
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    • 제13권4호
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    • pp.12-20
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    • 2004
  • The purposes of this study were to identify styles of contemporary interior design, construct their images, and find out the relation of the identified styles to the structure images. Content analysis was used as the main method of this study, and the focus of the analysis was on a typological approach. Two hundred interior design photos were drawn from five different interior design magazines published in the past ten years, and ,they were analyzed by interior design professionals. Contemporary interior design was classified into ten styles: romantic, ethnic, classical, high tech, elegant, country, modern, minimal, natural, and causal. Given the ten styles, five images of interior design were identified - simple, comfortable, rustic, classical, and delightful. With regard to the relationships between 10 styles and 5 images of interior design, the this study found that the romantic style was related to the images of rustic and classical, the ethnic style to the images of comfortable, classical, and delightful, the classical style to the image of classical, the high tech style to the images of classical and rustic, the elegant style to the images of simple and classical, the country style to the images of comfortable and rustic, the modern style to the images of simple and delightful, the minimal style to the image of comfortable, the natural style to the images of comfortable and delightful, and the causal style to the images of comfortable and delightful.

어린이집 교사가 인식하는 부모 이미지 연구: 은유 분석을 중심으로 (A Study on Child Care Center Teachers Awareness of Parental Images: Focusing on a Metaphor Analysis)

  • 김현주;제경숙
    • 한국보육지원학회지
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    • 제14권1호
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    • pp.63-85
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    • 2018
  • Objective: The goal of this study is to examine child care center teachers'awareness of parents through a metaphor analysis. Methods: Metaphorical expressions and reason-statements were collected from 276 teachers. Metaphor analysis was used through categorizing and assorting by meanings. Results: The teachers' metaphorical image expressions of parents were analyzed by using 13 metaphorical expression words and 3 categories which included, influence on teacher's attitudes, parent-teacher relationships, and parents' attitudes. Metaphorical image expressions that had a high ratio were 'a companion' and 'a client.' First, child care center teachers had images of parents that parents provide courageous energy to them, and images of clients who demand service instead of being parents. Second, child care center teachers had images of parents that parents cooperate with teachers for the sake of their children. Third, child care teachers had images of parents that parents need help with their children. Conclusion/Implications: This study suggests that teachers will be able to positively correct their awareness of cooperative parent-teacher relationships by reviewing their metaphorical expressions of parental images.

소비자의 가치 체계가 추구 의복 이미지와 의복 소비 가치에 미치는 영향 (The Influences of Consumers' Value Systems on Pursued Clothing Images and Consumption Values)

  • 임경복
    • 복식문화연구
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    • 제15권5호
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    • pp.810-824
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    • 2007
  • The purpose of this study was to examine the women consumers' pursued clothing images and consumption values according to the value system. The data was obtained from questionnaires filled out by 305 women living in Seoul and Gyung-gi. For data analysis, factor analysis, cronbach's alpha, ANOVA and cluster analysis were used. The results of this study were as follows: First, value, pursued clothing images and clothing consumption values were consisted of various factors. Second, women's values influenced on the pursued clothing images and clothing consumption values. Third, according to value factors, women classified into four groups, And they showed different pursued clothing images and consumption values. Also they were differentiated with shopping frequency and age. Therefore, value system was the important factor which can suggest the women's pursued clothing images and consumption values and marketer should know the value system of targeting consumers.

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효과적인 증강현실 구현을 위한 특징점 분석 기반의 마커영상 평가 방법 (Evaluation of Marker Images based on Analysis of Feature Points for Effective Augmented Reality)

  • 이진영;김종호
    • 한국산학기술학회논문지
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    • 제20권9호
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    • pp.49-55
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    • 2019
  • 본 논문에서는 효과적인 마커기반의 증강현실 구현을 위하여 영상 내 객체의 분포에 대한 분석과 반복 패턴을 포함하는 영상의 분류를 통한 마커영상의 평가 방법을 제안한다. 객체의 분포는 영상의 부분적 가림 현상에 따라 객체추적성능에 영향을 미치기 때문에 특징점 좌표의 분산을 이용하여 가림 현상에 취약한 마커영상을 구분할 수 있도록 하였고, 일반 영상과 반복 패턴을 포함하는 영상의 특징점 기술자 벡터의 분포가 현저하게 다르다는 사실에 기반하여 객체의 인식 및 추적에 적합한 영상을 구분할 수 있는 방법을 제안한다. 다양한 실험 결과 제안하는 마커 평가 방법이 가림 현상에 취약한 영상 및 반복 패턴 영상을 구분하는데 우수한 성능을 보이는 것을 확인하였다. 또한 마커영상에 대한 객체 추적 등의 안정성 측면에서 SURF보다 SIFT 기법이 우수한 성능을 보임을 확인할 수 있었다. 이러한 결과를 이용하여 다양한 종류의 마커영상에 대한 적합성 정보를 사용자에게 제공함으로써 효과적인 증강현실 시스템을 구현할 수 있을 것으로 판단된다.