• 제목/요약/키워드: Design image component

검색결과 178건 처리시간 0.028초

백화점 실내디자인 이미지의 구성요소 선호도에 관한 연구 (A Study on the Preference for the Components of the Department Store Interior Design Image -Focusing on Women Customers Resident in Seoul-)

  • 서종호;최상헌
    • 한국실내디자인학회논문집
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    • 제9호
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    • pp.3-9
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    • 1996
  • When a certain particular department store is chosen by customers due to the good image, the department store will have provided for the conditions that it can precede in competition with other department stores. Based upon it, a survey was made of preference for the department store interior design image component. In order to make the department store image better based upon this study results, the designer should remember that department store is possessed of display and circultation planinorder to give consume the good image. And , as a result of analyzing customers' preference for the details of the interior design image component, the area, primary components of the department store space, should take on specialization , though narrow. The circulation should constitute the free flow system. The ornamental illumination should be emphasized for the secondary component of the department store space. The color planing should be made that is oriented to seasonality and products. The floor should finished with wood. The department store interior should be decorated in a modern and simple form. The display of the department store should be made in a fashion that it takes on seasonality and artistry. These measures can be said to be the desirable method to provide a good image for women customers paying a visit to the department store.

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百貨店 室內디자인 이미지의 구성요소 선호도에 關한 硏究 - 서울 거주 여성고객을 대상으로 - (A Study on the Preference for the Components of the Department Store Interior Desing Image - Focusing on Women Customers Resident in Seoul -)

  • 서종호;최상헌
    • 한국실내디자인학회논문집
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    • 제9호
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    • pp.9-9
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    • 1996
  • When a certain particular department store is chosen by customers due to the good image, the department store will have provided for the conditions that it can precede in competition with other department stores. Based upon it, a survey was made of preference for the department store interior design image component. In order to make the department store image better based upon this study results, the designer should remember that department store is possessed of display and circultation planinorder to give consume the good image. And , as a result of analyzing customers' preference for the details of the interior design image component, the area, primary components of the department store space, should take on specialization , though narrow. The circulation should constitute the free flow system. The ornamental illumination should be emphasized for the secondary component of the department store space. The color planing should be made that is oriented to seasonality and products. The floor should finished with wood. The department store interior should be decorated in a modern and simple form. The display of the department store should be made in a fashion that it takes on seasonality and artistry. These measures can be said to be the desirable method to provide a good image for women customers paying a visit to the department store.

PCA와 입자 군집 최적화 알고리즘을 이용한 얼굴이미지에서 특징선택에 관한 연구 (A Study on Feature Selection in Face Image Using Principal Component Analysis and Particle Swarm Optimization Algorithm)

  • 김웅기;오성권;김현기
    • 전기학회논문지
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    • 제58권12호
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    • pp.2511-2519
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    • 2009
  • In this paper, we introduce the methodological system design via feature selection using Principal Component Analysis and Particle Swarm Optimization algorithms. The overall methodological system design comes from three kinds of modules such as preprocessing module, feature extraction module, and recognition module. First, Histogram equalization enhance the quality of image by exploiting contrast effect based on the normalized function generated from histogram distribution values of 2D face image. Secondly, PCA extracts feature vectors to be used for face recognition by using eigenvalues and eigenvectors obtained from covariance matrix. Finally the feature selection for face recognition among the entire feature vectors is considered by means of the Particle Swarm Optimization. The optimized Polynomial-based Radial Basis Function Neural Networks are used to evaluate the face recognition performance. This study shows that the proposed methodological system design is effective to the analysis of preferred face recognition.

Design of Unsharp Mask Filter based on Retinex Theory for Image Enhancement

  • Kim, Ju-young;Kim, Jin-heon
    • Journal of Multimedia Information System
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    • 제4권2호
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    • pp.65-73
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    • 2017
  • This paper proposes a method to improve the image quality by designing Unsharp Mask Filter (UMF) based on Retinex theory which controls the frequency pass characteristics adaptively. Conventional unsharp masking technique uses blurring image to emphasize sharpness of image. Unsharp Masking(UM) adjusts the original image and sigma to obtain a high frequency component to be emphasized by the difference between the blurred image and the high frequency component to the original image, thereby improving the contrast ratio of the image. In this paper, we design a Unsharp Mask Filter(UMF) that can process the contrast ratio improvement method of Unsharp Masking(UM) technique with one filtering. We adaptively process the contrast ratio improvement using Unsharp Mask Filter(UMF). We propose a method based on Retinex theory for adaptive processing. For adaptive filtering, we control the weights of Unsharp Mask Filter(UMF) based on the human visual system and output more effective results.

영상 검색을 위한 적응적 컴포넌트 분석 시스템 설계 (The Design of Adaptive Component Analysis System for Image Retrieval)

  • 최철;박장춘
    • 한국컴퓨터정보학회논문지
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    • 제9권2호
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    • pp.19-26
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    • 2004
  • 본 논문에서는 내용 기반 영상 검색 시스템(Content Based Image Retrieval System)의 특징 추출(feature extraction)과 분석(analysis)을 위한 방법으로 적응적 컴포넌트 분석(ACA: Adaptive Component Analysis)을 제안하고 있다. 검색을 위해서 영상에서 추출된 특징들은 영상의 도메인(domain)에 따라 적절하게 적용해야만 좋은 검색 결과를 얻을 수 있다. 이러한 조건을 만족시키기 위한 방법으로 본 논문에서는 검색 측정도(retrieval measurement)를 제안하고 있다. ACA는 알고리즘과 시스템적인 관점에서 볼 때, 기존의 내용 기반 영상 검색을 위한 중간 단계라고 할 수 있으며, 검색 속도향상 및 성능 개선에 목표를 두고 있다

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영상 검색을 위한 적응적 컴포넌트 분석 시스템 설계 (The Design of Adaptive Component Analysis System for Image Retrieval)

  • 최철;박장춘
    • 한국컴퓨터정보학회지
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    • 제12권1호
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    • pp.9-19
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    • 2004
  • 본 논문에서는 내용 기반 영상 검색 시스템(Content Based Image Retrieval System)의 특징 추출(feature extraction)과 분석(analysis)을 위한 방법으로 적응적 컴포넌트 분석(ACA: Adaptive Component Analysis)을 제안하고 있다. 검색을 위해서 영상에서 추출된 특징들은 영상의 도메인(domain)에 따라 적절하게 적용해야만 좋은 검색 결과를 얻을 수 있다. 이러한 조건을 만족시키기 위한 방법으로 본 논문에서는 검색 측정도(retrieval measurement)를 제안하고 있다. ACA는 알고리즘과 시스템적인 관점에서 볼 때, 기존의 내용 기반 영상 검색을 위한 중간 단계라고 할 수 있으며, 검색 속도 향상 및 성능 개선에 목표를 두고 있다.

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영상의 화질 개선을 위한 Multi-Scale Retinex 기반의 적응적 언샤프 마스킹 필터 설계 (Adaptive Unsharp Masking Filter Design Based on Multi-Scale Retinex for Image Enhancement)

  • 김주영;김진헌
    • 한국멀티미디어학회논문지
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    • 제21권2호
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    • pp.108-116
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    • 2018
  • In this paper, we propose an image enhancement method based on Multi-Scale Retinex theory that designs Unsharp Masking Filter (UMF) and emphasizes the contrast ratio adaptively. Unsharp Masking (UM) technique emphasizes image sharpness and improves contrast ratio by adding high frequency component to the original image. The high frequency component is obtained by differentiating between original image and low frequency image. In this paper, we present how to design an UMF kernel and to adaptively apply it to increase the contrast ratio according to multi-scale retinex theory which resembles human visual system. Experimental results show that the proposed method has better quantitative performance indexes such as PSNR, ambe & SSIM and better qualitative feature like halo artifact suppression.

COMPONENT-BASED ARCHITECTURE DESIGN FOR EAST INTEROPERABILITY IN SATELLITE IMAGE PROCESSING

  • Yoon, Chang-Pak;Kim, Kyung-Ok;Yang, Young-Kyu
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.45-48
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    • 2002
  • Satellite image processing software should be able to support interoperability that is to enable consumers, citizens, large and small businesses and governments to make the fullest possible use of the world's spatial data and spatial processing resources. The goal of interoperability is to perform hands-on research, development, testing, fielding, and validation of potential and existing interoperable geoprocessing technologies. In this paper, component based architecture for fast interoperability is designed to maximize interoperability among the OpenGIS components specified in the OpenGIS abstract specifications and implementation specifications and to mix up the OpenGIS components and the fast access mechanism for high performance.

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란제리 디자인의 이미지 유형과 디자인 특징 (A Study on the Image types and Characteristics of Lingerie Design)

  • 위은하
    • 대한가정학회지
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    • 제42권5호
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    • pp.27-37
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    • 2004
  • This study was initiated for the purpose of improving the visual effect of lingerie design, and it focused on the image factors and their characteristics of the lingerie design. Images of 105 lingerie design were evaluated by 3-5 images/participant with each image being evaluated 15 times through the SD method 5-scale questionnaire. The lingerie design elements were also analyzed by a committee. For data analysis, SPSS 10.0 program was used, and the principal component analysis, Ward-cluster, K-mean cluster analysis, ANOVA, duncan-test were conducted. The results are as follows: 1) The three major characteristics of the visual images in the lingerie design were aesthetics, dignity, and youth, which were supported 76.78% by the responses. 2) The visual image types can be categorized into four clusters; a dignified style, a sprightly style, a practical style, and a sexual style. 3) The design elements that allowed different design characteristics among the image types were style(one-piece/two-piece), total length, waist fit, matching color, silky lustrous, see-through on waist, hip, race percentages. 4) The ABC(apparel-body-construct) observed that a practical style was perceived as flat and whole rather than a dignified style or a sprightly style, while a sexual style was seen as round and partial.