• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.12 no.11
• /
• pp.2083-2090
• /
• 2008

In this paper, we propose a method for control of temperature and the direction of wind in an air-cooler using thermal images and fuzzy inference rules in order to achieve energy saving. In a simulation for controlling temperature, a thermal image is transformed to a color distribution image of $300{\times}400$ size to analyze the thermal image. A color distribution image is composed of R, G and B values haying temperature values of Red, Magenta, Yellow, Green, Cyan and Blue. Each color has a temperature value from $24.0^{\circ}C$ to $27.0^{\circ}C$ and a color distribution image is classified into height hierarchies from level 1 to level 10. The classified hierarchies have their peculiar color distributions and temperature values are assigned to each level by temperature values of the peculiar colors. The process for controlling overall balance of temperature and the direction of wind in an indoor space is as follows. Fuzzy membership functions are designed by the direction of wind, duration time, and temperature and height values of a color distribution image to calculate the strength of wind. After then, the strength of wind is calculated by membership values of membership functions.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.29 no.5 s.142
• /
• pp.662-670
• /
• 2005

The purpose of this study was to find out the effect of color, tone, perceiver's gender on image perception of natural dyeing of cotton and mosi. The experimental materials developed for this study were a set of stimuli and response scale(The 7-point semantic). The stimuli was 20 fabrics manipulated with two kinds of fabrics(cotton, mosi), five colors(red, yellow, blue, green, purple) and two tone variations. The subjects were 412 adults in Daejeon and Kongju. The results were as follows: The perceived image of the stimulus material consisted of 4 dimensions (attractive, conspicuous, hand, weight) colors, tons, materials as well as perceiver's gender affected on some selected image dimensions color affected on the four image dimensions, tone affected on the conspicuous, hand and weight images, materials affected on the attractive and hand image and perceiver's gender affected on the weight image. Interaction effects existed among colors, tons and materials on the conspicuous image. In conclusion the results support gestalt theory in which the sum of the parts is bigger than the whole and design strategies for the Mosi fabrics should be developed on the basis of persuited design image as well as target consumers.

• Journal of the Institute of Convergence Signal Processing
• /
• v.16 no.3
• /
• pp.96-101
• /
• 2015

A tongue coating evaluation method for WTCI(Winkel Tongue Coating Index) is proposed in this paper, which is used as the diagnostic criteria in the tongue diagnosis. This method uses the color channel analysis and tongue coating extraction from the ultraviolet tongue image. Proposed method analyzes the histogram distribution of the respective color channel for extracting a tongue coating, and performs the verification test from the selected color channel in the tongue coating extraction. Also, Objectivity of the tongue diagnostic criteria is verified by the artificial sample and real-tongue image experiments. In order to evaluate the performance of the proposed Computerized Assistant WTCI Evaluation method, after verifying a measurement accuracy by using the artificial sample images, and applying to the various real-tongue image of subjects. As a result, the proposed WTCI method is very successful.

• Journal of Broadcast Engineering
• /
• v.23 no.1
• /
• pp.93-103
• /
• 2018

This paper presents a method for speed limit sign recognition in images. Conventional sign recognition methods decreases recognition accuracy because they are very sensitive and include repeated features. The proposed method emphasizes color attributes based on the weighted YUV color space. Moreover, the recognition accuracy can be improved by extracting the local region of interest (ROI) in the candidates. The proposed method uses the Haar features and the Adaboost classifier for recognition. Experimental results confirm that the proposed algorithm is superior to conventional algorithms under various speed signs and conditions.

• Journal of the Korea Computer Industry Society
• /
• v.7 no.5
• /
• pp.537-544
• /
• 2006

Image Search is one of the most exciting and fast growing research areas in the filed of multimedia technology. This paper conducts an empirical evaluation of color descriptor that uses the information of color distribution in color images, which is the most basic element for image search. With the experimental results, we observe that in the top 10% of precision, HSV, Daubechies 9/7 and 2 level decomposition have little better than others. Also histogram quadratic metrics outperform the Minkowski form distance metrics in similarity measurements, but spend more than 20 in computational times.

• Journal of the Korean Society of Costume
• /
• v.64 no.4
• /
• pp.1-20
• /
• 2014

The purpose of this study is to suppose makeup design based on formative elements of facial image according to the facial image type of Korean women in their 20s. For this study, literature review were performed. Surveys were conducted twice for empirical research. The survey targeted 220 university students in their 20s. SPSS 12.0 statistics program was used to analyze the results, and T-test, ANOVA, Scheff$\acute{e}$ test. The results of the study are as follows. First, it was concluded that the effective structural formative elements are different according to the types of facial image. Second, by analyzing the differences in perceiving naked facial image and modified face shape image, modified skin color image, modified makeup color image of all types of facial image, it was found that the formative elements are different according to facial images, and that there are differences in the effectiveness of each factors.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.34 no.3
• /
• pp.492-507
• /
• 2010

The eco-design in modem fashion is mixed with a well-being trend that combines functionality and ethics with technology to suggest a new fashion style for the $21^{st}$ century. This study analyzes the colors of the eco-design in the current fashion trends and identifies the eco-friendly color images that suggest directions for eco-design. The results of this study are as follows. First, the eco-design is an ethical design concept of the ecological value. It can be classified into the functional efficiency in the multi-functionality the sustainability, the recycling capability, the trends for health and craftsmanship, according to various suggestions by eco-design related theorists. Second, the eco-colors shown in the fashion trend follow the order of YR, R, Y, N, and B, with the order of the pale, grayish, light grayish and dull tones. Third, the hue trends of eco-colors each eco-type are focused on R, YR, and Y. With regards to the tones, the functional efficiency, the multi-functional capability, and the sustainability are shown in the neutral tone, while the recycling capability is shown in the grayish tone and the trends pursuing health and craftsmanship are shown in the pale tone.

• The Transactions of the Korea Information Processing Society
• /
• v.7 no.12
• /
• pp.3995-4003
• /
• 2000

This paper describes a method that extracts the region of car-licence plates in color images of private and commercial cars. To extract car-licence plates, we use the feature that car-licence plate regions have regular colors according to the kinds of cars. In this paper, we propose the method that combines H component of HSI color model and Q component of YIQ color model. To improve efficiency of the process, we cxplore lines ill a car image by a regular interval in a bottom-up style. As a result, the extraction rates by only H-component. only by Q- component. and by combined Hand Q, are 53.6%, 82.1%, and 94.6% respectively.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.24 no.10B
• /
• pp.1902-1911
• /
• 1999

In this paper we present a content-based image retrieval algorithm using the visual feature vectors which describe the spatial characteristics of objects. The proposed technique uses the Gaussian mixture model(GMM) to represent multi-colored objects and the expectation maximization(EM) algorithm is employed to estimate the maximum likelihood(ML) parameters of the model. After image segmentation is performed based on GMM, the shape and color features are extracted from each object using Fourier descriptors and color histograms, respectively. Image retrieval consists of two steps: first, the shape-based query is carried out to find the candidate images whose objects have the similar shapes with the query image and second, the color-based query is followed. The experimental results show that the proposed algorithm is effective in image retrieving by using the spatial and visual features of segmented objects.

• The KIPS Transactions:PartB
• /
• v.15B no.5
• /
• pp.407-412
• /
• 2008

Color segmentation is one of the most challenging problems in image processing especially in case of handling the images with cluttered background. Great amount of color segmentation methods have been developed and applied to real problems. In this paper, we suggest a new methodology. Our approach is focused on background extraction, as a complimentary operation to standard foreground object segmentation, using self-organizing feature selective property of unsupervised self-learning paradigm based on the competitive algorithm. The results of our studies show that background segmentation can be achievable in efficient manner.