• 제목/요약/키워드: Image data analysis

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전산화단층상을 이용한 안면골의 3차원재구성상의 비교 연구 (COMPARATIVE STUDY OF THREE-DIMENSIONAL RECONSTRUCTIVE IMAGES OF FACIAL BONE USING COMPUTED TOMOGRAPHY)

  • 송남규;고광준
    • 치과방사선
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    • 제22권2호
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    • pp.283-290
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    • 1992
  • The purpose of this study was to evaluate the spatial relationship of facial bone more accurately. For this study, the three-dimensional images of dry skull were reconstructed using computer image analysis system and three-dimensional reconstructive program involved CT. The obtained results were as follows: 1. Three-dimensional reconstructive CT results in images that have better resolution and more contrast 2. It showed good marginal images of anatomical structure on both three-dimensional CT and computer image analysis system, but the roof of orbit, the lacrimal bone and the squamous portion of temporal bone were hardly detectable. 3. The partial loss of image data were observed during the regeneration of saved image data on three-dimensional CT. 4. It saved the more time for reconstruction of three-dimensional images using computer image analysis system. But, the capacity of hardware was limited for inputting of image data and three-dimensional reconstructive process. 5. We could observe the spatial relationship between the region of interest and the surrounding structures by three-dimensional reconstructive images without invasive method.

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Framing city image: A content analysis of Chinese city image construction on Korean press

  • YANG Ting;LIU Jing
    • International Journal of Advanced Culture Technology
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    • 제12권1호
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    • pp.158-168
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    • 2024
  • With Wenhai big data SaaS cloud platform.2.0, this study analyzed data of 135 news reports relating to Chinese city Chongqing from Yonhap News Agency and ten South Korean mainstream newspapers from May 1st, 2018 to September 30th, 2022. Under the framework of Frame Theory, this research conducted data mining and analysis on how Korean mainstream media shaped city image of Chongqing, what kind of city images were shaped from dimensions of politics, economy, society, culture & sports as well as tourism and whether they are consistent with those in Chinese media. At the last part, discussions and suggestions was made.

A Study on Changes in Korean Image of Foreign Tourists Using Big Data - Post COVID-19 -

  • Yoo, Kyoung-Mi;Choi, Youn-Hee;Ryu, Gi-Hwan
    • International Journal of Internet, Broadcasting and Communication
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    • 제13권4호
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    • pp.72-78
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    • 2021
  • Currently, the Korean wave is not limited to popular culture, but has a significant impact not only on Korea's national image but also on the improvement of Korean companies' products and image of Korea. In this study, using Textom to confirm the change in foreign tourists' image of Korea, the data collection period was 1 year of 2020, when COVID 19 occurred, as a collection period for "Korea and foreigner" and related key words, each Hallyu content, and ranked in the top 80 keywords were derived. Centrality analysis for semantic network visualization was performed using UCINET6, and through CONCOR analysis, 7 groups 'K-Quarantine ', 'K-Drama', 'K-Movie', 'K-Beauty', 'K-Shopping', It was clustered into 'K-Tech' and 'K-Pop'. As a result of the analysis, the image of Korea abroad generally recognized the Korean Wave as cultural content, but after the outbreak of COVID 19, it is judged that it has been recognized as a country with a successful case of K-Quarantine.

Analysis of Homomorphic Filtered Remotely Sensed Imagery and Multiple Geophysical Images

  • Ryu Hee-Young;Lee Kiwon;Kwon Byung-Doo
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.237-240
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    • 2004
  • In this study, the digital image processing with image enhancement based on homomorphic filtering was performed using geophysical imaging data such as gravity, magnetic data and sub-scenes of satellite images such as LANDSAT, IKONOS, and KOMPSAT. Windows application program for executing homomorphic filtering was designed and newly implemented. In general, homomorphic filtering is technique that is based on Fourier transform, which enhances the contrast of image by removing the low frequencies and amplifying the high frequencies in frequency domain. We can enhance the image selectively using homomorphic filtering as compared with the existing method, which enhance the image totally. Through several experiment using remotely sensed imagery and geophysical image with this program, it is concluded that homomorphic filtering is more effective to reveal distinct characteristics for some complicated and multi-associated features on image data.

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여대생이 지각한 신체상과 자존감, 가족건강성 관계연구 (A Study on Body Image, Self-esteem, and Family Strengths of Female University Students)

  • 서영숙;손유림
    • 한국임상보건과학회지
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    • 제2권2호
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    • pp.90-97
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    • 2014
  • Purpose. The purpose of this study was to investigate the relationship between body image, self-esteem, and family strengths in female university students. Methods. One hundred ninety nine female university students participated in data collection. Data on body image, self-esteem, and family strengths were collected via questionnaire between April 2013 and May 2013. Data analysis was done using PASW 18.0 program and included one-way ANOVA, independent t-test and Pearson correlation coefficients analysis. Results. The mean score of body image was 24.20, self-esteem was 25.30, and family strengths was 83.71. Results showed a positive correlation among body image and self-esteem(r=.19, p<.001), and family strengths(r=.16, p<.001). Conclusion. The results indicate that it is necessary to increase body image, self-esteem, and family strengths among female university students. To ensure resonable body image in female university students, self-esteem, and family strengths should be reinforced.

진의류 마케팅 전략을 위한 데이타 베이스 구축에 관한 연구(제2보) -1997년 추계 신세대 진바지 소비자의 상표 인지도, 상표 이미지와 소비자의 추구이미지를 중심으로- (Data Babe Development for Blue Jeans Marketing Strategy(Part ll) - Focused on Young Adult's Brand Awareness, Brand Image and Consumer's Seeking Image in Fall 1997-)

  • 김칠순;이훈자
    • 한국의류학회지
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    • 제22권4호
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    • pp.503-514
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    • 1998
  • The purpose of this study was to develop a large representative data base for jeans marketing strategy This study was to survey brand features(launching year, launching company, design concept, sales volume, and price zone) in the current market, and was to examine brand awareness and it's relationship to segmented distribution regions, demo- graphic variables(sex, age, monthly household income, and seasonal clothing expenditure). This study was also to analyze brand image and consumer's seeking image. The 660 questionnaires were distributed and 618 reliable ones were used for statistical analysis. A SAS statistical package including frequency table, Chi-square test, factor analysis, analysis of variance(ANOVA), Duncan's multiple range test and paired-t test was used. The results are as follows: 1. Brand awareness involves "brand recall" based on asking a person to name the brand recalled first, and "brand recognition" based on asking to identify brand name from 30 given brands. The result of recall brand test indicated that Levi's was dominant brand. People recognized about 70.8% of brands on the average. Brand recognition was influenced by segmented distribution region and demographic variables. 2. There was significantly positive relationship between brand recognition and purchasing behavior. 3. National brands were more recognized than Licensed brands. 4. The result showed that "Nix" was best represented for sophisticated brand image, "Strom" for characteristic, "Jambangee" for resonable price, and "Levi's" for classic '||'&'||' comfortable brand image. 5. As a result of factor analysis on consumer's seeking image, six factors(characteristic, young, intelligent/sexy, comfortable, exotic and popular) were found. Several factors had a relationship with preferred design, demographic variables, fashion interest, and brand recognition. variables, fashion interest, and brand recognition.

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Investigation of light stimulated mouse brain activation in high magnetic field fMRI using image segmentation methods

  • Kim, Wook;Woo, Sang-Keun;Kang, Joo Hyun;Lim, Sang Moo
    • 한국컴퓨터정보학회논문지
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    • 제21권12호
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    • pp.11-18
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    • 2016
  • Magnetic resonance image (MRI) is widely used in brain research field and medical image. Especially, non-invasive brain activation acquired image technique, which is functional magnetic resonance image (fMRI) is used in brain study. In this study, we investigate brain activation occurred by LED light stimulation. For investigate of brain activation in experimental small animal, we used high magnetic field 9.4T MRI. Experimental small animal is Balb/c mouse, method of fMRI is using echo planar image (EPI). EPI method spend more less time than any other MRI method. For this reason, however, EPI data has low contrast. Due to the low contrast, image pre-processing is very hard and inaccuracy. In this study, we planned the study protocol, which is called block design in fMRI research field. The block designed has 8 LED light stimulation session and 8 rest session. All block is consist of 6 EPI images and acquired 1 slice of EPI image is 16 second. During the light session, we occurred LED light stimulation for 1 minutes 36 seconds. During the rest session, we do not occurred light stimulation and remain the light off state for 1 minutes 36 seconds. This session repeat the all over the EPI scan time, so the total spend time of EPI scan has almost 26 minutes. After acquired EPI data, we performed the analysis of this image data. In this study, we analysis of EPI data using statistical parametric map (SPM) software and performed image pre-processing such as realignment, co-registration, normalization, smoothing of EPI data. The pre-processing of fMRI data have to segmented using this software. However this method has 3 different method which is Gaussian nonparametric, warped modulate, and tissue probability map. In this study we performed the this 3 different method and compared how they can change the result of fMRI analysis results. The result of this study show that LED light stimulation was activate superior colliculus region in mouse brain. And the most higher activated value of segmentation method was using tissue probability map. this study may help to improve brain activation study using EPI and SPM analysis.

외모에 대한 사회문화적 영향과 신체이미지가 외모향상추구행동에 미치는 영향 (Sociocultural Influences of Appearance and Body Image on Appearance Enhancement Behavior)

  • 박은정;정명선
    • 한국의류학회지
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    • 제36권5호
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    • pp.549-561
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    • 2012
  • This study investigates the effects of sociocultural influences and body image on appearance enhancement behaviors (facial management, clothing selection, and weight/figure management). For data collection, a questionnaire was administrated to 562 female college students in Gwangju City, Chonnam area and Chonbuk area, Korea, from May 23 to June 10, 2011. To analyze the data, a SPSS 18.0 statistics package was used, and descriptive statistical analysis, frequency analysis, factor analysis, reliability analysis, and regression analysis were conducted. The results were as follows. First, sociocultural influences were divided into three factors: parental influence, media influence, and peer influence. Overall sociocultural influences had positive effects on appearance enhancement behavior. Second, body image was divided into two factors: weight-concern and appearance-concern. Sociocultural influences had significant effects on overall body image. Third, body image appeared to have positive effects on overall appearance enhancement behavior.

주부가 선호하는 아동복 브랜드의 이미지에 따른 구매의도 -자기일치성과 행동의도모델을 중심으로- (Brand Images of Children's Wear and Mother's Purchase Intention -Focus on Self-Image Congruence and Behavioral Intention Model-)

  • 김지연;이규혜
    • 복식문화연구
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    • 제19권3호
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    • pp.622-636
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    • 2011
  • The purpose of this study was to assess the effects of self-image congruence on attitudes toward purchase intentions of children's clothing via the Behavioral Intention Model. The empirical study was conducted via on-line survey and data were collected from mothers with children aged 6 to 10 years. A total of 593 respondents answered the questionnaire and 574 usable data were statistically analyzed. SPSS 18.0 was used to conduct descriptive statistical analysis, factor analysis, reliability analysis, cluster analysis, Chi-square test, ANOVA, and multiple regressions. A K-means cluster analysis was conducted based on three dimensions brand images of children's wear. Respondents were divided into four groups: elegant image group, multiple image group, ordinary image group, and childlike image group. Characteristics of consumers and clothing evaluative criteria that mothers considered important differed significantly across groups. Moreover, based on these groups, each dimension of self-congruence had different effects on brand attitude. Brand attitude and subjective norms had different effects on purchase intentions. In conclusion, levels of self-congruence and factors influencing purchase intention varied according to brand images of children's wear.

브랜드 아파트의 이미지와 자아이미지의 일치성에 관한 연구 (A Study on the Image of a Brand Apartment and Self-Image Consentaneity)

  • 김진화;이윤정;정준현
    • 한국주거학회논문집
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    • 제21권2호
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    • pp.31-39
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    • 2010
  • The trend in which an apartment is regarded as not only a substantial property or 'residence' but also as a 'means of self-expression' for consumers is increasing in the present housing marketing, and thus, the apartment brand image has become an important field of marketing management. Therefore, the present study aimed to verify the difference between the image of a housing brand and the self-image of consumers in order to propose a singular direction of strategies for the formation of a differentiated brand image. As a result of research, analysis showed that there is a trend in which consumers show a more positive attitude towards a brand apartment that has a brand image closer to an ideal selfimage. Even if this trend is weak, it was confirmed that the consentaneity between a brand image and the self-image of housing products can become a variable having some influence on brand attitude. The survey method compared a brand image and a self-image by using Likert's 5-point scale on the apartment brands of the top three companies according to the study result of a national brand competitiveness index (NBCI). Self-consentaneity was determined by using the distance measurement model of self-consentaneity proposed by Sirgy (1982). The study data was collected from 210 persons and the PASW program was used for statistical data analysis.