• 제목/요약/키워드: image focusing

검색결과 1,150건 처리시간 0.024초

당초문양의 특성변인에 따른 감성이미지 - 표현유형, 문양배열, 적용대상, 구매욕구, 연령을 중심으로 - (The Sensibility Image by the Property Variables of Dangcho Pattern - Focusing on the Representative Type, Pattern Arrangement, Object of Application, Desire of Purchase and Ages -)

  • 박영희
    • 한국의류산업학회지
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    • 제7권2호
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    • pp.169-178
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    • 2005
  • This study was aimed at investigating the relationship between the sensibility image of Dangcho pattern and the pattern composition variables(representation type, pattern arrangement, object of application, desire of purchase, ages). The results obtained are as follows: The sensibility image which is derived from Dangcho pattern was investigated in the property of five dimensions, that is, the property of fascination, elegance, high grade, uniqueness, and correctness. The sensibility image of Dangcho pattern was the significant main effect according to pattern composition variables(representation type, pattern arrangement, object of application, desire of purchase, ages), and was the significant collation effect between each of pattern composition variables. The sensibility image of the Dangcho pattern which had most an influence on degree of preference and desire of purchase was examined by the property of fascination.

The Effects of Restaurant and LOHAS Images on Customer Satisfaction and Loyalty: Focusing on the Incremental Information Content of LOHAS Image

  • Kim, Dong-Jin;Kim, Young-Ja;Jeon, Min-Sun
    • 한국조리학회지
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    • 제22권6호
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    • pp.1-13
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    • 2016
  • Since protecting the environment became a major issue in modern society, an increasing number of individuals have engaged in lifestyles of health and sustainability (LOHAS). The purpose of this study is to investigate the effects of restaurant and LOHAS images on customer satisfaction and loyalty. Particularly, this study analyzes the incremental information content of LOHAS image in the relationship between restaurant image and customer satisfaction/loyalty. A self-administered questionnaire was distributed to customers of casual-dining restaurants in three major cities (i.e., Seoul, Daegu, and Busan) in South Korea. The empirical findings suggest significant incremental information content of LOHAS image beyond general restaurant image in explaining customer satisfaction and loyalty.

한국과 미국 대학생의 의류 제품 만족에 관한 비교 문화 연구 - 청바지에 대한 친숙도와 추구 이미지를 중심으로 - (A Cross-Cultural Study on the Consumer Satisfaction of Clothing between Korea and the United States - Focusing on Familiarity and Pursuited Image of Jeans)

  • 박수경
    • 복식문화연구
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    • 제15권1호
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    • pp.169-178
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    • 2007
  • The purpose of this study was to compare consumers' post acquisition behavior by analyzing the influence of familiarity of jeans, and pursued image. The data was collected by using survey, three stages of pre-tests, and main survey conducted in the U.S and Korea. A total of 520 participants from each country(260 males and 260 females) was used. The results of this study is as follows. Familiarity of jeans and pursued image of jeans wear were compared between Korean and American students. As a result, there was difference between the countries on familiarity that the U.S showed higher familiarity, frequence of wearing and owned quantity. Pursued image was consisted of unique factor and activity factor and Korean students showed higher score on pursuing individualistic image. The results of this study would provide marketing strategy for fashion marketers of global jean brands.

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레이저 미세피치 홀 가공의 생산효율성 향상을 위한 영상처리 측정 기법 적용 (Application of Image Processing Technique to Improve Production Efficiency of Fine Pitch Hole Based on Laser)

  • 표창률
    • 소성∙가공
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    • 제19권5호
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    • pp.320-324
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    • 2010
  • Multi-Layer Ceramic Circuit(MLCC) in the face of thousands of fine pitch multi hole is processed. However, the fine pitch multi hole has a size of only a few micrometers. Therefore, in order to curtail the measurement time and reduce error, the image processing measurement method is required. So, we proposed an image processing measurement algorithm which is required to accurately measure the fine pitch multi hole. The proposed algorithm gets image of the fine pitch multi hole, extracts object from the image by morphological process, and extracts the parameters of its position and feature by edge detecting process. In addition, we have used the sub-pixel algorithm to improve accuracy. As a result, the proposed algorithm shows 97% test-retest measurement reliability within 2 ${\mu}m$. We found that the algorithm was wellsuited for measuring the fine pitch multi hole.

정밀측정을 위한 카메라 보정에 관한 연구 (A Study on the Camera Calibration for Precision Measurement)

  • 김준희
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 1996년도 춘계학술대회 논문집
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    • pp.52-55
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    • 1996
  • Though the increment of using computer vision system in modern industry, there are lots of difficulties to measure precisely because of measurement error distortion phenomenon. Between these reasons, the distortion of edge is dominant reason which is occured by the blurred image. The blurred image is happened when camera can not discriminate its precise focus. To correct and generalize distortion phenomenon is imprrtant. Thus we must fix the discrimination criteria which is collected by image recognition of precise focus. The edge of image means discontinuous point of intensity, and the component of edge is discribed as high frequency component at special domain specturm of image. The good condition of focus means there are much high frequency energy in image. The method of discribing high frequency energy is gradient operater which determines the condition of focus.

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SIFT 와 SURF 알고리즘의 성능적 비교 분석 (Comparative Analysis of the Performance of SIFT and SURF)

  • 이용환;박제호;김영섭
    • 반도체디스플레이기술학회지
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    • 제12권3호
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    • pp.59-64
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    • 2013
  • Accurate and robust image registration is important task in many applications such as image retrieval and computer vision. To perform the image registration, essential required steps are needed in the process: feature detection, extraction, matching, and reconstruction of image. In the process of these function, feature extraction not only plays a key role, but also have a big effect on its performance. There are two representative algorithms for extracting image features, which are scale invariant feature transform (SIFT) and speeded up robust feature (SURF). In this paper, we present and evaluate two methods, focusing on comparative analysis of the performance. Experiments for accurate and robust feature detection are shown on various environments such like scale changes, rotation and affine transformation. Experimental trials revealed that SURF algorithm exhibited a significant result in both extracting feature points and matching time, compared to SIFT method.

입체 카메라의 자동 초점 제어를 위한 웨이블릿 변환을 이용한 제어 변수 추출 (Control Parameter Extraction using Wavelet Transform for Auto-Focus Control of Stereo Camera)

  • 엄기문;허남호;김형남;조진호;이진환
    • 방송공학회논문지
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    • 제5권2호
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    • pp.239-246
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    • 2000
  • 본 논문에서는 입체 카메라의 자동 초점 제어에 필요한 제어 변수 추출 방법을 제안한다. 일반적으로 카메라로 획득한 입체 영상에서 관심 있는 피사체가 영상의 중심부에 있다고 가정을 한다. 이 경우에 획득된 영상에서 특정한 크기의 중심 영역에 대해서만 2D 웨이블릿 변환을 한다. 변환을 거친 신호 중에서 고역 성분 (HH)에 대한 Ll Norm을 이용하여 필요한 초점제어 변수를 추출한다. 실험결과를 통해 제안된 방식이 기존의 DCT를 이용한 방식에 비해 입체카메라의 자동 초점 제어에 효과적으로 적용될 수 있음을 보인다.

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문화사회학적 시각에서 본 패션의 전략적 사용 (Strategic Use of Fashion: A View from Sociology of Culture)

  • 최샛별;진기남
    • 한국의류학회지
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    • 제31권9_10
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    • pp.1342-1351
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    • 2007
  • Using a data set drawn from 1419 college students, this study analyzes what implications clothing or fashion has on self-expression or image management in Korean society and who are more likely to use fashion as a image management tool in the process of interacting with others. Employing Pierre Bourdieu's concept of capital, we discuss three theories concerning correspondence between class and fashion: the theory focusing on economic capital in emphasizing the correspondence; the theory focusing on cultural capital in emphasizing the correspondence and the theory emphasizing relationships between fashion and other factors rather than class. Based on the theoretical examination, we select independent variables that can be grouped into status/class variables, or economic capital variables(such as subjective status, income, father's education, father's occupation) and socio-cultural variables, or cultural capital variables(such as possession of cultural capital, desire for upward mobility). Upon regressing strategic use of fashion on independent variables, we find that both status/class variables and socio-cultural variables are statistically significant in explaining the strategic mobilization of fashion for one's image production or social success. It shows that class as a form of economic capital has important effects on the strategic use of fashion, and cultural capital also has effects independent of economic capital.

자동 초점 기법을 이용한 유리 내부 결함 검출 (The Detection of the Internal Defect in the Glass Using Auto Focusing Method)

  • 지용우;장경영;정지화;김석준
    • 대한기계학회논문집A
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    • 제28권7호
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    • pp.1047-1054
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    • 2004
  • Internal defects in the glass, like-as micro-voids, micro-cracks, or inclusions, easily cause the failure when the glass is exposed to the shock or the thermal variation. In order to produce the highly reliable glass product, the precision inspection of the defect in the glass is required. For this purpose, this paper proposes a machine vision technique based on the auto-focusing method, which searches the defect and measures the location under the fact that the edge image of defect must be the most clear when the focal plane of CCD camera is coincided with the defect. As for the search index, the gradient indicator is presented. The basic principles are verified through the simulations for the computer-generated defect images, where the affects of defect shape, gray level of background, and the brightness of the defect image are also analyzed. Finally, experimental results for actual glass specimens are shown to confirm the applicability of this method to the actual field.