• Title/Summary/Keyword: 컬러 이미지

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A structural analyzation of knowledge-based Image DataBase System. (지식기반형 이미지 DBMS의 기능적 구성에 관한 고찰)

  • 이종호;홍석기
    • Proceedings of the Korea Society of Design Studies Conference
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    • 1999.05a
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    • pp.36-37
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    • 1999
  • 디자인 프로세스상에 이미지를 중심으로 하는 시각언어를 통한 디자인 컨셉 커뮤니케이션은 이미 여러 디자인분야에서 여러 가지 방향으로 진행되고 있다(스타일 스케치보드, 이미지 맵, 컬러맵, 캐털로그 리뷰 등). 그러나 대부분의 경우, 디자인 리서치에 사용되어진 이미지들은 리서치 이후 저장되지 않고 폐기되어지기 때문에, 새로운 디자인 작업에서 재활용되어지지 못하는 프로세스상의 단점을 가지고 있다.(중략)

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Design Strategies of a Shaver for Men based on Consumers' Sensitive Images of Preference (소비자 선호 감성이미지 기반 남성용면도기 디자인 전략)

  • Lee, Yu-Ri;Yang, Jong-Youl
    • Science of Emotion and Sensibility
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    • v.10 no.3
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    • pp.393-402
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    • 2007
  • The purpose of this study is to provide the design direction based on consumer sensitivity through the structure between product design preferences - sensitivity image - design elements. For the purpose, we selected men's shaver products for this study subject and collected 164 shavers' pictures released between 2001-2007 years. Then, we carried out a pilot test for collection of sensitivity images about shavers, made a survey using semantic differential method and analyzed the survey. According the result, consumers preferred the sensitivity images "luxury, attractive, stable", design elements satisfied the preference images were "form of body is not a circular arcs or a polygon, material is steel, button is push style, and a color of body is not brown." This study can provide a base of the causal relationship between design preferences - sensitivity image - design elements and a design process to predict consumer sensitivity-oriented design.

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Color Laser Printer Forensics through Wiener Filter and Gray Level Co-occurrence Matrix (위너 필터와 명암도 동시발생 행렬을 통한 컬러 레이저프린터 포렌식 기술)

  • Lee, Hae-Yeoun;Baek, Ji-Yeoun;Kong, Seung-Gyu;Lee, Heung-Su;Choi, Jung-Ho
    • Journal of KIISE:Software and Applications
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    • v.37 no.8
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    • pp.599-610
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    • 2010
  • Color laser printers are nowadays abused to print or forge official documents and bills. Identifying color laser printers will be a step for media forensics. This paper presents a new method to identify color laser printers with printed color images. Since different printer companies use their own printing process, each of printed papers from different printers has a little different invisible noise. After the wiener-filter is used to analyze the invisible noises from each printer, we extract some features from these noises by calculating a gray level co-occurrence matrix. Then, these features are applied to train and classify the support vector machine for identifying the color laser printer. In the experiment, we use total 2,597 images from 7 color laser printers. The results prove that the presented identification method performs well using the noise features of color printed images.

Image Sensor Module for Detecting Spatial Color Temperature in Indoor Environment (실내 환경의 공간 색온도 검출을 위한 이미지센서 모듈)

  • Moon, Seong-Jae;Kim, Young-Woo;Lim, Yeong-Seog
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.1
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    • pp.191-196
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    • 2021
  • In this paper, we implemented an image sensor module possible of detecting color temperature in an indoor environment. The color temperature information in the video information acquired by the image sensor was matched with a color difference illuminometer to produce an LUT. An algorithm was developed so that color temperature information according to the received RGB values can be automatically calculated. As a result of measuring the color temperature with an image sensor indoors, an accurate result of less than 5.91% was obtained compared to the reference value. It was confirmed that the uniformity of 23.5% or more was excellent compared to the color temperature measurement result using a color sensor.

Analysis of affective words on photographic images and the effects of color on the images (사진 이미지와 관련된 감성 어휘 분석 및 색 유무에 따른 감성 반응 비교)

  • 박수진;정우현;한재현;신수진
    • Science of Emotion and Sensibility
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    • v.7 no.1
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    • pp.41-49
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    • 2004
  • The affective words on photographic images were analyzed and a model was structured. Based on this model, the effects of color on the affections were studied. In study 1, the photographic images with various materials and techniques were presented and the affective responses are collected. The factor analysis using principal axing method showed that the variance of the affective words could be explained about 42% by the three factors. These are named positive-negative, dynamic-static, light-heavy, respectively. In study 2, the effects of color on the affections were evaluated on three basic dimensions. Ninety representative color images were converged black-and-white images, and each of 180 images was rated on the three affective scales. The t-test showed that the effects of color are statistically significant on the three affective scales, respectively. The achromatic images were felt more negative, more static, and heavier than chromatic images.

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Natural Lighting Environment Implementation By Lighting Led with Color image Sensor (컬러 이미지 센서를 이용한 LED 조명 장치의 자연광 재현장치 구현)

  • Jang, Tae-Bok;Rhee, Sang-Burm
    • Journal of the Korea Computer Industry Society
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    • v.10 no.4
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    • pp.153-158
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    • 2009
  • This paper designed for natural lighting environment implementation with mixed color and white LED equipment. Lighting LED equipment Have a lot of advantage than traditional commercial lighting equipment. Such as high energy conversion efficiency and easy dimming control performance. This paper proposed LED lighting equipment with color sensor acquisition system can make best lighting environment for Human various kinds necessary.

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Region Segmentation of a Color Image using a Distributed Genetic Algorithm (분산 유전자 알고리즘을 이용한 컬러 이미지의 영역분할)

  • 조찬윤;김상균
    • Journal of Korea Multimedia Society
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    • v.3 no.5
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    • pp.470-478
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    • 2000
  • Color images from various application areas have their own characteristics. Practical segmentation systems need specialized methods to death with the characteristics. In this paper. we propose a distributed genetic algorithm based segmentation method for color breast carcinoma cell images. To extract positive nuclei and negative nuclei from the cell images, a distributed genetic algorithm with improved genetic operations and an evaluation function is used. As initial values, representative colors from images are introduced to work well with the cell images. A test to verify the validity of the proposed method shows well-segmented images. This result suggests that the method is pertinent to be but into practical use for the images haying limited objects with limited colors.

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Development of a Web Service for Cosmetics Recommendation based on an Artificial Intelligence for User Personal Color Generation (사용자 퍼스널 컬러 생성을 위한 인공지능 기반 화장품 추천 웹 서비스 개발)

  • Suk-Hyung Hwang;Min-Taek Lim;Hun-Tae Hwang;Seung-Jun Lee;Soo-Hwan Kim;Se-Woong Hwang
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.461-463
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    • 2023
  • MZ세대를 중심으로 자기관리를 열심히 하는 사람들이 증가함에 따라 화장의 기본이 되는 개인 피부톤(퍼스널 컬러)을 찾는 것이 중요시되고 있다. 현재 대다수 사람은 자신에게 어울리는 퍼스널 컬러를 찾기 위해 높은 비용을 지불하여 전문가를 이용하거나 객관적이고 정량화된 기준 없이 오랜 시간을 투자하여 스스로 퍼스널 컬러를 찾는 등 시간과 비용 측면에서의 한계점을 가지고 있다. 본 논문에서는 이를 보완하기 위해 이미지 기반 인공지능 기술(객체 탐지, 객체 분할, BeautyGAN)을 적용하여 데이터 기반의 정량적인 기준을 생성하고, 퍼스널 컬러에 알맞은 화장품 추천 웹 서비스를 제안한다.

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Implications to Consumer Preferences on Visual Image Elements of Coffee Houses (커피전문점의 시각이미지요소가 소비자 선호도에 미치는 영향)

  • Lee, Sun Hee;Woo, Nariyah
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.10 no.3
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    • pp.147-159
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    • 2015
  • One of the most important factors for the consumers to select a coffee shop is a visual factor. The analysis results of interior pale face image of the coffee house doesn't show significant differences on all the categories. It is recognized that the items affected by symbolized color are supplies and interior design. If a respondent choose a coffee house by the symbolized color, 'Starbucks' is the most memorable or want to visit place, and only one category, pocket money shows significant difference in choosing coffee houses. The investigation results say that the most memorable or want to visit coffee house by the visual icon color are 'Starbucks', 'Angelinus' and 'Caffebene', and that 'Ediya's icon color marks the characteristics of the shop very well, and 'Hollys' has the most characterful color. Resultingly, visual elements and icon colors of the shop seriously affect consumer's choice in visiting a coffee house. This study is to understand the influence of visual elements in choosing a coffee house for general customers, and it is considered that the importance of visual elements and color marketing must be recognized and developed.

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Attributes and Image of Color Schemes in Neon Color Fashion (네온 컬러 패션에 나타난 배색 특성과 이미지)

  • Kim, Jiseon;Yum, Haejung
    • Journal of Fashion Business
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    • v.19 no.1
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    • pp.122-140
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    • 2015
  • The research is committed to inquire about the attributes of color schemes and their image, and the results are as follows : One, the preference of ranges of neon colors was explicit, and the frequency of use of neon colors distinctively diverged season by season. Two, it was observed that, with neon colors, an achromatic color scheme was a more preferred arrangement. As for chromatic colors, neutral and mid-tone natural colors were more favored since they did not tarnish the properties of neon colors and, yet, more effective exhibiting images in diversity and variety. Three, the neon color fashion generally displayed a dual image: its original classification embellished with neon colors rendering the image of powerful and futuristic sensation. Having been around since the early 2000's, the frequency and range of use of neon colors have been increasing rapidly mostly by the sports, leisure and related industries. Regardless of the fact, neon colors will be rediscovered with a variety of color schemes and expand their application.