• The Journal of Korea Robotics Society
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• v.11 no.4
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• pp.205-216
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• 2016

The localization of the robot is one of the most important factors of navigating mobile robots. The use of featured information of landmarks is one approach to estimate the location of the robot. This approach can be classified into two categories: the natural-landmark-based and artificial-landmark-based approach. Natural landmarks are suitable for any environment, but they may not be sufficient for localization in the less featured or dynamic environment. On the other hand, artificial landmarks may generate shaded areas due to space constraints. In order to improve these disadvantages, this paper presents a novel development of the localization system by using artificial and natural-landmarks-based approach on a topological map. The proposed localization system can recognize far or near landmarks without any distortion by using landmark tracking system based on top-view image transform. The camera is rotated by distance of landmark. The experiment shows a result of performing position recognition without shading section by applying the proposed system with a small number of artificial landmarks in the mobile robot.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.427-433
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• 2020

Based on the natural colors and techniques of Korean traditional Dancheong, the image from splendor and magnificence is used as a jewel in making ornaments by subjective interpretation of the researcher. The purpose of this paper is to propose the possibility of using as a jewelry design by combining the possibilities of various color expressions, the combination of solidity and luster synthetic resin by utilizing natural pigments and mono images used in Korean traditional monophonic. In this study, this study presented the possibility of accessing in the life of a modern person pursuing a lifestyle by introducing a mono image into jewelry design, and at the same time, approaching ornaments by using traditional materials of the past, modern materials, and digital production methods. We are looking for a wide variety of jewelry designs to be utilized.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.7 no.1
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• pp.55-60
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• 2014

In this paper, we proposed a method for face region extraction by skin-color hue, saturation and facial feature extraction in natural images. The proposed algorithm is composed of lighting correction and face detection process. In the lighting correction step, performing correction function for a lighting change. The face detection process extracts the area of skin color by calculating Euclidian distances to the input images using as characteristic vectors color and chroma in 20 skin color sample images. Eye detection using C element in the CMY color model and mouth detection using Q element in the YIQ color model for extracted candidate areas. Face area detected based on human face knowledge for extracted candidate areas. When an experiment was conducted with 10 natural images of face as input images, the method showed a face detection rate of 100%.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.11
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• pp.1782-1791
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• 2008

The purpose of this study was to find out the hair style image about variations of hair design elements. The method of this study was quasi-experimentation. The twelve color photographs of manikins with various hair style were used as the stimulus. As measuring instrument, a likert scale composed of 35 items of five point adjectives was used. The sample consisted of 157 males and 140 females residing in the Busan area. The range of the age is from 20 to 55. The survey was conducted from August to September in 2007. The data were analyzed by factor analysis, frequency, crosstabs one-way analysis of variance, Duncan's test and t-test used SPSS Packages. The results of this study were as follows: 1. As a result of factor analysis, 8 factors - romantic, natural, elegant, simple, classic, casual, modem and mannish were found out as constructing factors of hairstyle image. 2. As a result of hair style image analysis about variations of hair-length, The short hair style was perceived in modern, mannish, casual, sophisticate, medurm-length style in classic and elegant, long hair style was perceived to be high in romantic and natural. 3. As a result of hair style image analysis about variations of hair design elements, The length of hair style was the most influential element in hair design and secondly important one was the wave of hair style. The color of hair style didn't critical effect on image of hair style.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.772-779
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• 2006

The new model proposed in this paper is the hidden Markov mesh model or the 2D HMM with the causality of top-down and left-right direction. With the addition of the causality constraint, two algorithms for the evaluation of a model and the maximum likelihood estimation of model parameters have been developed theoretically which are based on the forward-backward algorithm. It is a more natural extension of the 1D HMM than other 2D models. The proposed method will provide a useful way of modeling highly variable image patterns such as offline cursive characters.

• Communications for Statistical Applications and Methods
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• v.10 no.2
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• pp.325-332
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• 2003

This study was to develop a system for grading apples by their color using statistical image processing. T-test was used to detect edges in apple images and the chain code method was used for contour coding. The histogram and mean gray level of each RGB channel in a ring-shaped region was used to compare apple colors to reference apple color.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.2
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• pp.121-125
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• 2015

In this paper, we propose a method that extracts features from character patterns using the fractal dimension of chaos theory. The input character pattern image is converted into time-series data. Then, using the modified Henon system suggested in this paper, it determines the last features of the character pattern image after calculating the box-counting dimension, natural measure, information bit, and information (fractal) dimension. Finally, character pattern recognition is performed by statistically finding each information bit that shows the minimum difference compared with a normalized character pattern database.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2006.05a
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• pp.250-253
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• 2006

The trend of well-being image in this 21st century has been developed by issuing 'Health and Long life' integrating the quality. We are characterize the colors of the nature with emotional feelings of Korean people with respect to Korea four seasons and adapt it into choosing subtle colors in interior design for the good space of well-being image.

• 한국정보디스플레이학회:학술대회논문집
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• 2007.08b
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• pp.1139-1142
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• 2007

In this paper, an image enhancement method by saturation and contrast improvement is proposed. Histogram equalization with color difference makes higher contrast. By generating saturation amplification ratio with color difference, the saturation improves effectively. The experimental results show that the proposed algorithm has higher contrast and more natural - look than the conventional methods.

• Electronics and Telecommunications Trends
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• v.33 no.4
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• pp.54-60
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• 2018

In this paper, we analyze the trends of deep-learning based plant data processing technologies. In recent years, the deep-learning technology has been widely applied to various AI tasks, such as vision (image classification, image segmentation, and so on) and natural language processing because it shows a higher performance on such tasks. The deep-leaning method is also applied to plant data processing tasks and shows a significant performance. We analyze and show how the deep-learning method is applied to plant data processing tasks and related industries.