• The Korean Journal of Community Living Science
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• v.27 no.spc
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• pp.573-591
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• 2016

People are making multilateral efforts to create beautiful agricultural landscapes. In farming villages, however, large-scale facilities or houses do not blend in with the natural environment because of their outer colors, which are mostly primary colors that are not chosen in consideration of the natural environment. This was addressed in the three following steps: 1) Research tool was used to identify predominant colors and images that represent various types of rural areas; 2) landscape experts conducted a feasibility study and pilot study on using these colors; and 3) the main study was done by investigating how local people and out-of-town visitors perceive the colors. The villages involved in the development projects were mostly represented by achromatic colors, meaning white, black, and variations of gray. Also, adjectives such as "modern" were shown to be keywords that symbolize the atmosphere. Less developed villages had more greenish colors and "natural" as their keyword. Developed villages in suburban areas were mainly represented by shades of blue and green, while less developed ones were mainly represented by green and yellow. In special types of rural areas, developed and developing were represented by achromatic and green colors, whereas less developed ones were represented by green and blue. Respondents were also asked 1) whether they were satisfied with their village's current overall color scheme and 2) whether they thought there was harmony between the surrounding natural environment and artificial structures. People responded with "so so" for the first question, while some answered "not good enough" and "no" for the second.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.1 s.307
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• pp.27-34
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• 2006

In this paper, we propose a combined region-based image retrieval system using EHD(Edge Histogram Descriptor) and CLD(Color Layout Descriptor) of MPEG-7 descriptors. The combined descriptor can efficiently describe edge and color features in terms of sub-image regions. That is, the basic unit for the selection of the region-of-interest (ROI) in the image is the sub-image block of the EHD, which corresponds to 16 (i.e., $4{\times}4)$ non-overlapping image blocks in the image space. This implies that, to have a one-to-one region correspondence between ELE and CLD, we need to take an $8{\times}8$ inverse DCT (IDCT) for the CLD. Experimental results show that the proposed retrieval scheme can be used for image retrieval with the ROI based image retrieval for MPEG-7 indexed images.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.12
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• pp.107-119
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• 1999

There is no authentic solution in a face detection problem though it is an important part of pattern recognition and has many diverse application fields. The reason is that there are many unpredictable deformations due to facial expressions, view point, rotation, scale, gender, age, etc. To overcome these problems, we propose an algorithm based on feature-based method, which is well known to be robust to these deformations. We detect a face by calculating a similarity between the formation of real face feature and candidate feature formation which consists of eyebrow, eye, nose, and mouth. In this paper, we use a steerable filter instead of general derivative edge detector in order to get more accurate feature components. We applied deformable template to verify the detected face, which overcome the weak point of feature-based method. Considering the low detection rate because of face detection method using whole input images, we design an adaptive skin-color filter which can be applicable to a diverse skin color, minimizing target area and processing time.

• Fashion & Textile Research Journal
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• v.18 no.6
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• pp.787-799
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• 2016

This study considers aesthetic characteristics by examining fashion style of fashion journalist Anna Wintour. Fashion journalists are specialists who work at fashion media. Especially, Anna Wintour is one of the most famous fashion journalist in the world and fashion icon, who has been editor-in chief of Vogue USA since 1988. For this study, Anna Witour's photograph was collected from 2010 to 2015 on web-sites. After collecting images, it analysed with 4criterions which were silhouette, color, fabric(pattern and texture) and hair style(and accessories) following advance researches analysis about fashion style. The conclusions of this study are as follows. First, symbolism revealed that could express her identity through utilizing steady items such as blond bob hair, Chanel bold sunglasses, short round neckless and Manolo Blahnik's low-heeled slingback nude sandals. Especially, she gave consistency to her fashion style with fixed hair style and accessories which are similar in shape. Second, femininity, that reveal as an internal characteristic such as sensitivity and as an external characteristic like fluidity. Anna Wintour expressed femininity with elegant curvy silhouette, various of color and flower pattern. Particularly, she emphasized nature women's body shape with princess silhouette, slim silhouette. Third, analysis result indicated characteristic of authority with oversize silhouette, wide lapel details and glamorous genuine fur items. Furthermore, some of her fur items looked overwhelming which dyed in artificial color or printed with leopard pattern. These powerful items contained immanent meanings that are power and position which could express a role as an editor-in chief of Vogue USA.

• The Research Journal of the Costume Culture
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• v.13 no.5 s.58
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• pp.804-818
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• 2005

The purpose of this study is to investigate the effect of tone-on-tone coloration on the visual images of traditional Korean dress. The materials in the experiment developed for this study were made up of various stimuli and the response scales for each stimulus. The stimuli were 48 color pictures with various combination of colors, in which the tones of jackets and skirts were manipulated by computer drawing. 24 bi-polar adjectives, each of which was graded into seven in its degree, were used to evaluate each image. The subjects were 576 female students in Jinju City. This experiment was based on the $3{\times}4{\times}4$ factorial designs: color (red, yellow and green), jacket tone (vivid, light, dull and dark) and skirt tone (vivid, light, dull and dark). The results of the study can be summarized as follows; Impression factor of the stimuli consisted of the 5 different dimensions - youthfullness and activity, attractiveness, gracefullness, visibility, and tenderness. The colors and the tone of jackets and skirts used in this experiment influenced 5 impression dimension by interaction of two valuables or working independently. Yellow and green with vivid or light tone had an effect on the formation of youth and activity image, and dark-light combination had an effect on the formation of attractiveness image. In case of green color, light tone of a jacket and vivid or dull tone of a skirt affected gracefulness, while yellow has no impact on visibility image regardless of skirt tone. Red and yellow with vivid or light tone were a factor to decide tenderness.

• Journal of Broadcast Engineering
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• v.15 no.5
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• pp.703-706
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• 2010

Recently, a need to encode a depth image has been raising with the deployment of 3D video services. The 3DV/FTV group in the MPEG has standardized the compression method of depth map image. Because conventional depth map coding methods are independently encoded without referencing the color image, coding performance of conventional algorithms is poor. In this letter, we proposed a novel method which rearranged modes of depth blocks according to modes of corresponding color blocks by using a correlation between color and depth images. In experimental results, the proposed method achieves bits reduction of 2.2% compared with coding method based on JSVM.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.127-130
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• 2007

Skin detection research is important role in the 3G of mobile phone for video telephony and security system by using face recognition. We propose skin detection algorithm as preprocessing to the face recognition, and use YCbCr color space. In existing skin detection algorithm using CbCr, skin colors that is brightened by camera flash or sunlight at outdoor in images doesn't acknowledged the skin region. In order to detect skin region accuracy into any circumstance, this paper proposes 3-channel skin detection algorithm.

• Smart Media Journal
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• v.1 no.3
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• pp.29-35
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• 2012

A depth image-based rendering (DIBR) technique is one of the rendering processes of virtual views with a color image and the corresponding depth map. The most important issue of DIBR is that the virtual view has no information at newly exposed areas, so called dis-occlusion. In this paper, we propose an intermediate view generation algorithm using the Kinect depth camera that utilizes the infrared structured light. After we capture a color image and its corresponding depth map, we pre-process the depth map. The pre-processed depth map is warped to the virtual viewpoint and filtered by median filtering to reduce the truncation error. Then, the color image is back-projected to the virtual viewpoint using the warped depth map. In order to fill out the remaining holes caused by dis-occlusion, we perform a background-based image in-painting operation. Finally, we obtain the synthesized image without any dis-occlusion. From experimental results, we have shown that the proposed algorithm generated very natural images in real-time.

• Textile Coloration and Finishing
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• v.19 no.4
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• pp.32-37
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• 2007

In this study, we have obtained the protein patterns using the membrane patterning of soft-lithography technique. The rapid detection of protein including bovine serum albumin (BSA) was resulted from the interaction with 1,3-bisdicyanovinylindane. For the proof of the interaction between BSA and dye, the UV-vis absorption spectra of BSA and dye were observed at 278 nm and 580 nm, respectively. As expected, the absorption spectrum of the interaction between BSA and dye was observed at 584nm. The absorption spectrum of the interaction was red-shifted. In addition, the optical images of the selectively reacted protein patterns showed the distinctive change of patterned color at different pH conditions. Because the dye has negative charges, the charge of BSA at different pH conditions could influence the interaction behavior between dye and BSA. Therefore, in the case of pH 7, the selectively patterned protein substrates obtained deep blue color pattern caused by electrostatic interaction between negative charges of the dye and positive charges of the BSA. However, in the case of pH 10, selectively patterned protein substrates obtained light blue color pattern because the electrostatic interaction was relatively lower than pH 7 due to the change of overall charge distribution of BSA.

• Journal of the Korea Society of Computer and Information
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• v.13 no.6
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• pp.87-94
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• 2008

Iris diagnosis is an alternative medicine technique whose proponents believe that patterns, colors, and other characteristics of the iris can be examined to determine information about a patient's systemic health. However, because most of previous studies only find a sign pattern in a gray iris image, they are not enough to be used for a iris diagnosis system. In this paper, we developed an iris diagnosis system based on a color image processing and iris medical information stored in database. The system includes four modules : input module with an iris camera, iris signs extraction module, medical database, output module with printing. Based on a color image processing approach, this paper presents the extraction algorithms of 7 major iris signs and correction manually for improving the accuracy of analysis. We can use the iridology and patient's health DB in the stage of signs analysis. Compared with the existing system, the developed system can be applied to an iris diagnosis system since it provides various additional functions.