• Title/Summary/Keyword: image components

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The Effects of Country Image, Attitudes toward a Country, and Purchase Emotion on Purchase Intention of Fashion Products with a Korean Images - Focusing on Korean Female Consumers - (국가이미지, 국가에 대한 태도, 구매감정이 한국적 이미지 패션상품 구매의도에 미치는 영향 - 한국 여성 소비자를 중심으로 -)

  • Cho, Yun-Jin;Lee, Yu-Ri;Kim, Ha-Yeon
    • Journal of the Korean Society of Costume
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    • v.59 no.10
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    • pp.111-123
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    • 2009
  • This study investigated the multifaced country image. The casual relationships among the multifaced country image, attitudes toward a country, and purchase emotion and purchase intention of fashion products with Korean images were also investigated. To conduct a quantitative analysis, we collected data from 296 Korean female consumers. SPSS 12.0 and AMOS 5.0 packages were used for statistical analysis. The results of this study as follows. To identify components of country image of Korea, exploratory and confirmatory factor analyses were conducted. This procedure produced five components such as culture, technique/product, ethical values, nationality, and space. Structural equational model was used to analyze the relationships among the country image, attitudes toward a country, purchase emotion, and purchase intention of fashion products with Korean image. The proposed model was verified.

Automatic Extraction of Component Window for Auto-Teaching of PCB Assembly Inspection Machines (PCB 조립검사기의 자동티칭을 위한 부품윈도우 자동추출 방법)

  • Kim, Jun-Oh;Park, Tae-Hyoung
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.11
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    • pp.1089-1095
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    • 2010
  • We propose an image segmentation method for auto-teaching system of PCB (Printed Circuit Board) assembly inspection machines. The inspection machine acquires images of all components in PCB, and then compares each image with its standard image to find the assembly errors such as misalignment, inverse polarity, and tombstone. The component window that is the area of component to be acquired by camera, is one of the teaching data for operating the inspection machines. To reduce the teaching time of the machine, we newly develop the image processing method to extract the component window automatically from the image of PCB. The proposed method segments the component window by excluding the soldering parts as well as board background. We binarize the input image by use of HSI color model because it is difficult to discriminate the RGB colors between components and backgrounds. The linear combination of the binarized images then enhances the component window from the background. By use of the horizontal and vertical projection of histogram, we finally obtain the component widow. The experimental results are presented to verify the usefulness of the proposed method.

An Adaptive Image Enhancement of the DCT Compressed Image using the Spatial Frequency Property (공간주파수 특성을 이용한 DCT 압축영상의 적응 영상 향상)

  • Jeon, Seon-Dong;Kim, Sang-Hee
    • Journal of the Institute of Convergence Signal Processing
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    • v.11 no.2
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    • pp.104-111
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    • 2010
  • This paper presents an adaptive image enhancement method using the spatial frequency property in the DCT(discrete cosine transform) compressed domain. The dc coefficients, the illumination components of image, are adjusted to compress the dynamic range of image, and the ac coefficients are modified to enhance the contrast by using the human visual system(HVS) and the spatial frequency property. The ac coefficients are separated into vertical direction, horizontal direction, and mixed spatial frequency components, and adaptively modified to minimize the block artifacts that possibly occur in the image enhancement. The proposed method using dynamic range compression and adaptive contrast enhancement shows the advanced performance without the block artifact compared with existing method.

A Study on Image Restoration using Mean and Wiener Filter (평균 및 위너 필터를 사용한 영상 복원에 관한 연구)

  • Moon Hong-Deuk;Kang Kyeong-Deog;Bae Sang-Bum;Kim Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.7
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    • pp.1393-1398
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    • 2004
  • Image is degraded by several causes such as the process of acquisition, storage and transmission. To restore those images, many researches have been continued. Centrally methods to restore degraded image by AWGN(additive white gaussian noise) a.e mean filter and wiener filter. Especially, mean filter is superior in noise reduction of area that is a small change of luminosity. But mean filter brings about the effect smoothing edge components of the image, because it does'nt consider characteristics of the image. So in this paper we propose an image restoration method compounding respective images adding established weights, after filtering with mean filter and powerful wiener filter in both improvement of contrast and preservation of edge components.

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

  • 서종호;최상헌
    • Korean Institute of Interior Design Journal
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    • no.9
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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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A Study on the Preference for the Components of the Department Store Interior Desing Image - Focusing on Women Customers Resident in Seoul - (百貨店 室內디자인 이미지의 구성요소 선호도에 關한 硏究 - 서울 거주 여성고객을 대상으로 -)

  • 서종호;최상헌
    • Korean Institute of Interior Design Journal
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    • no.9
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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.

PDE-based Image Interpolators

  • Cha, Young-Joon;Kim, Seong-Jai
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.12C
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    • pp.1010-1019
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    • 2010
  • This article presents a PDE-based interpolation algorithm to effectively reproduce high resolution imagery. Conventional PDE-based interpolation methods can produce sharp edges without checkerboard effects; however, they are not interpolators but approximators and tend to weaken fine structures. In order to overcome the drawback, a texture enhancement method is suggested as a post-process of PDE-based interpolation methods. The new method rectifies the image by simply incorporating the bilinear interpolation of the weakened texture components and therefore makes the resulting algorithm an interpolator. It has been numerically verified that the new algorithm, called the PDE-based image interpolator (PII), restores sharp edges and enhances texture components satisfactorily. PII outperforms the PDE-based skeleton-texture decomposition (STD) approach. Various numerical examples are shown to verify the claim.

Position Recognition and Leaning Correction of DNA Ban Images (유전밴드 영상의 위치 인식 및 기울어짐 보정)

  • 황덕인;공성곤
    • Journal of the Korean Institute of Intelligent Systems
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    • v.7 no.4
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    • pp.40-47
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    • 1997
  • This paper proposes a method using the straight line Hough transform(SLHT) that recognizes the position of DNA band images from the scanner. The method also detects and corrects automatically the leaning angle of the image. After binarization of a gray-scale DNA band images, the SLHT detects line components involved in the image and recognizes the position of the image using the cross paints of the line components assuming the image is in retangular shape. To improve efficiency of reading many IINA band images through the scanner, this method finds and corrects the leaning angle accurately as less than -t I degree.

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In DCT,Image Data Compression via Directional Zonal Filters (DCT 변환상에서 방향성 Zonal 필터를 이용한 화상 데이터 압축)

  • 정동범;김해수;조승환;이근영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.16 no.2
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    • pp.172-179
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    • 1991
  • In this paper we have proposed an efficient coding algorithm using directional filtering. First an image is transformed by using DCT which has better energy compaction and then the transformed image is divided into a low frequency component and several high frequency components. The transformed coefficients of each parts are transmitted respectively by using huffman code and these are transformed inversely at receiver. For the directional components total edge images are reconstructed at zero crossing points. We are able to reduce the amount of data by getting of complex component and making directional angles 90. As a results, this proposed method is better than that of Kunt in respect of processing time and memories. We have 38dB of image quality with objective measurement of PSNR and 0.26bpp of compression ratio which is acceptable.

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Implementation of an Enhanced Change Detection System based on OGC Grid Coverage Specification

  • Lim, Young-Jae;Kim, Hong-Gab;Kim, Kyung-Ok
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1099-1101
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    • 2003
  • Change detection technology, which discovers the change information on the surface of the earth by comparing and analyzing multi-temporal satellite images, can be usefully applied to the various fields, such as environmental inspection, urban planning, forest policy, updating of geographical information and the military usage. In this paper, we introduce a change detection system that can extract and analyze change elements from high-resolution satellite imagery as well as low- or middle-resolution satellite imagery. The developed system provides not only 7 pixelbased methods that can be used to detect change from low- or middle-resolution satellite images but also a float window concept that can be used in manual change detection from highresolution satellite images. This system enables fast access to the very large image, because it is constituted by OGC grid coverage components. Also new change detection algorithms can be easily added into this system if once they are made into grid coverage components.

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