• Journal of Intelligence and Information Systems
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• v.8 no.1
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• pp.87-101
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• 2002

In this paper, we proposes the car plate recognition and describe the parking control system using the proposed car plate recognition algorithm. The car plate recognition system using color information and fuzzy c-means algorithm consists of the extraction part of a car plate from a car image and the recognition part of characters in the extracted car plate. This paper eliminates green noise from car image using the mode smoothing and extract plate region using green and white information of RGB color. The codes of extracted plate region is extracted by histogram based approach method and is recognized by fuzzy c-means algorithm. For experimental, we tested 80 car images. We shows that the proposed extraction method is better than that from the color information of RGB and HSI, respectively. So, we can know that the proposed car plate recognition method using fuzzy c-means algorithm was very efficient. We develop the parking control system using the proposed car plate recognition method, which showed performance improvement by the experimental results.

• Journal of KIISE:Software and Applications
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• v.31 no.9
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• pp.1161-1170
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• 2004

This paper proposes to segment skin color areas using a clustering algorithm. Most of previously proposed clustering algorithms have some difficulties, since they generally detect hyperspherical clusters, run in a batch mode, and predefine a number of clusters. In this paper, we use a well-known elliptical clustering algorithm, an EM algorithm, and modify it to learn on-line and find automatically the number of clusters, called to an EAM algorithm. The effectiveness of the EAM algorithm is demonstrated on a task of skin color region segmentation. Experimental results present the EAM algorithm automatically finds a right number of clusters in a given image without any information on the number. Comparing with the EM algorithm, we achieved better segmentation results with the EAM algorithm. Successful results were achieved to detect and segment skin color regions using a conditional probability on a region. Also, we applied to classify images with persons and got good classification results.

• The Journal of the Korea Contents Association
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• v.13 no.6
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• pp.116-124
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• 2013

This study aims to develop colored gemstone products based on the analysis of color preference. Colored gem stones were classified by their colors using Munsell's ten basic colors and the color preference of women consumers in their twenties was analyzed, in consideration of trend analysis and design image description analysis, which led to the direction of product development. The analysis of color preference seems to suggest that consumers preferred blue quartz, cahnite, spessartite garnet, the colors of which are rather less known to ordinary consumers, to the other more common kinds of gem stones. Through the analysis of the trends and adjectives to describe preferable design images, the current study has made it possible to explore the designs for the future development of colored jewelry products, which would satisfy the consumption value and individual tastes of the consumers. It is expected that the current study may contribute to the jewelry industries and designers as a basic data for developing colored gem stone products.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.05a
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• pp.50-54
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• 1999

This paper is proposed to image retrieval system using color and shape feature. Color feature used to four maximum value feature among the maximum value extracted from local color distribution histogram. The preprocessing of shape feature consist of edge extraction and weight central point extraction and angular sampling. The sum of distance from weight central point to contour and variation and max/min used to shape feature. The similarity is estimated compare feature of query image with the feature of images in database and the candidate of image is retrieved in order of similarity. We evaluate the effectiveness of shape feature and color feature in experiment used to two hundred of the closed image. The Recall and the Precision is each 0.72 and 0.53 in the result of average experiment. So the proposed method is presented useful method.

• Journal of Broadcast Engineering
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• v.21 no.4
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• pp.538-551
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• 2016

At the on-site of broadcasting production, the light source of tungsten halogen has been used as a primary light source for representing video images. Although tungsten halogen light has drawn attention in terms of the color reproducibility which is more similar to the sun light than that of other light sources, meanwhile it had problems in energy efficiency. Recently, the LED light source with high efficiency and long lifetime of the energy source has started getting attention as a substitute light source at the broadcast field. Because of the unique light emission principles, compared with tungsten halogen, LED light source has different characteristics in the quality of the light projected from the light source and color reproduction of the video image through a camera. These characteristics cause the delayed introduction of the LED as the broadcast light source. In this study we measured the quality characteristics of the flatness of the color reproduction and light of the LED light source and will present the experimental data whether it is suitable as the broadcasting light source compared to a reference light source of tungsten halogen. In addition, we suggested the future challenges and standards which are needed to expand usage of LED as a broadcast light source.

• Journal of Digital Contents Society
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• v.19 no.9
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• pp.1653-1662
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• 2018

Inspired by the increasing popularity of cosmetic-related mobile application as a tool for instant beautification, the present study examined colors of virtual makeup templates and makeup looks. A survey study was performed by thirty-six respondents to determine the top three desirable virtual makeup templates among nineteen templates. The templates of 'Bella', 'Hilary' and 'Cara' were then analyzed by makeup specialists and color experts for the evaluation of their makeup design and colors. Each color feature of three makeup templates were also evaluated through statistical analysis of ANOVA on the measure of $L^*a^*b^*$ crossed with five types of face elements on three types of virtual makeup images. Overall results indicate that Korean female users in their 20s and 30s preferred a similar makeup concept appeared in makeup template and key worlds. They also preferred a pale skin tone with higher lightness and a slightly higher saturated lip color as an emphasis than other features.

• Journal of the Korea Society of Computer and Information
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• v.16 no.1
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• pp.61-69
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• 2011

This paper proposes a new algorithm that improve color component of compensated image using Retinex method for back-light image. A back-light image has two regions, one of the region is too bright and the other one is too dark. If an back-light image is improved contrast using Retinex method, it loses color information in the part of brightness of the image. In order to make up loss information, proposed algorithm adds color components from original image. The histogram can be divided three parts that brightness, darkness, midway using K-mean (k=3) algorithm. For the brightness, it is used color information of the original image. For the darkness, it is converted using by Retinex method. The midway region is mixed between original image and Retinex result image in the ratio of histogram. The ratio is determined by distance from dark area. The proposed algorithm was tested on nature back-light images to evaluate performance, and the experimental result shows that proposed algorithm is more robust than original Retinex algorithm.

• Korean Institute of Interior Design Journal
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• v.24 no.2
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• pp.171-179
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• 2015

The aim of this study is to figure out the preference features on design components of shop facade on the basis of the questionnaire survey on short-term memory and sensory memory of human right after an image experiment. As for a preceding research, this study examined the design features of facade into tangible elements and intangible elements, and also classified them into physical, aesthetical, marketing and symbolic components in detail. And, it extracted 5 representative elements in preceding studies including shape, material, pattern, color and sign, which is the standard of a questionnaire survey and preference analysis. The subjects of the experiment were 30 men and women who were over 20 years old majoring interior design. They were exposed to 20 images with 10 seconds respectively through a video, and were asked to respond the questionnaire promptly. The findings of preference analysis of design components of facade including shape, material, pattern, color and sign are as follows. Firstly, shape was the most interesting and attracting component, and designs applied with shape of objects such as 'web', 'drawer', 'wheel' and 'button' obtained high preference. Secondly, as for material, block, steel, exposed concrete board attracted higher preference as memorable materials than other materials. Material was affected by shape, pattern and color. Thirdly, pattern was the most lasting element. Designed pattern had higher preference than simple pattern. Fourthly, as for color, red and green with strong stimulation and attention attained priority having long lasting memory. Fifthly, when visiting a shop, sign out of 5 elements of shape, material, pattern, color and sign drew attention the most. As for the preference of location of sign, 'center top' was the most noticeable. The findings of this study could be utilized for facade design, and also could be used for commercialization considering highly preferred components, and top preference aspects of such elements. advised that to give an impression to customers is important to make a successful design for sales marketing, which, in turn, would lead customers to revisit the shop.

• Fashion & Textile Research Journal
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• v.6 no.3
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• pp.266-274
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• 2004

This study is on the sensitive image of pattern expressed in the color & formative types of traditional Jokakbo(scraps of cloth). The object of this research is Korean traditional scraps of cloth in the latter period of Chosun Dynasty. This study is to be classified into 10 formative types like square type 1, square type 2, diagonal type, diamond type, many color striped type, concentric circle type, pinwheel type, vertical line type, cintamani pattern type, and free style type to apply the design of Jokakbo to Korean design. And color group is divided into vivid tone and pale tone. And it constitutes 17 patterns from the combination of these two types. As for the factors of constitution of scraps of cloth, it consists of factors like revelation, attraction, temperature sense, abstract, and rigidity. In the emotional image in the patterns, both vivid tone and pale tone showed dynamic and warm emotion together. Also, the factors of revelation and attraction were evaluated as opposite images, and it evaluated the plain and dim emotion as more attractive emotion. They preferred the pale tone to the vivid tone. They preferred the cintamani pattern in the vivid tone, and the diamond pattern in the pale tone most. From the research result above, this study made the abstract image of scraps of cloth standardized and prepared for a basis to execute it essentially. This research will be used as basic data to make traditional Korean image spotlighted in the world fashion markets as well as it will be helpful to the development of pattern design for the scraps of cloth essentially.

• Journal of Korea Multimedia Society
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• v.8 no.5
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• pp.633-640
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• 2005

In this paper, we propose an adaptive face region extraction algorithm based on skin color information. It consists oi the extraction of face candidate region and projection step. In the step of face candidate region extraction, we extract the pixels which are regarded as the candidate skin color pixels by using the given range. Then, the ratio between the total pixels and the extracted pixels is calculated. According to the ratio, we adaptively decide the range of the skin color and extract face candidate region. In the projection step, we project the extracted face candidate region into vertical direction to estimate the width of the face. Then the redundant parts are efficiently removed by using the estimated face width. And the extracted face width information is used at the horizontal projection step to extract the height of the face. From the experiment results for the various images, the proposed algorithm shows more accurate results than the conventional algorithm.