• Journal of Information Processing Systems
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• v.10 no.2
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• pp.283-299
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• 2014

Skin detection is used in many applications, such as face recognition, hand tracking, and human-computer interaction. There are many skin color detection algorithms that are used to extract human skin color regions that are based on the thresholding technique since it is simple and fast for computation. The efficiency of each color space depends on its robustness to the change in lighting and the ability to distinguish skin color pixels in images that have a complex background. For more accurate skin detection, we are proposing a new threshold based on RGB and YUV color spaces. The proposed approach starts by converting the RGB color space to the YUV color model. Then it separates the Y channel, which represents the intensity of the color model from the U and V channels to eliminate the effects of luminance. After that the threshold values are selected based on the testing of the boundary of skin colors with the help of the color histogram. Finally, the threshold was applied to the input image to extract skin parts. The detected skin regions were quantitatively compared to the actual skin parts in the input images to measure the accuracy and to compare the results of our threshold to the results of other's thresholds to prove the efficiency of our approach. The results of the experiment show that the proposed threshold is more robust in terms of dealing with the complex background and light conditions than others.

• Proceedings of the IEEK Conference
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• 2000.11c
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• pp.93-96
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• 2000

In this paper, we propose an efficient database system for video retrieval. Using the color spaces, it shows results of user's request. Each color space used following user's selection. We suggest adaptive three color systems for database. Experimental results based on a video database containing 331 shots are included.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2009.04a
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• pp.300-303
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• 2009

The purpose of this study is to grasp the preference of colors in housing spaces by different type of personality and color preference by classifying dwellers various characteristics by MBTI to obtain basic informations for the color plan that satisfies their inner desire. The results of this study are as followed. Firstly, we could say about the color distribution of living spaces like that. The ceiling and general wall showed that N(white) systems and YR of bright tone was mostly distributed. The color of floor showed that the calm tone of YR was mostly distributed. Secondly, as for the favored colors of finishing material at each space, the biggest distribution of preference color was found as N(white) group(series) in case of ceilings. As for general walls, bright tone of N(white) group showed most in living rooms. In case of that of the floor, it showed the largest distribution of calm tone of YR. Point wall was preferred bright and brilliant in various kinds of color. Thirdly, as in favor of colors of closing materials, sensible types(S) are concentrated on common color groups, on the other hand, intuition types(N) prefer color groups of various kinds not only general preferred colors.

• Korean Institute of Interior Design Journal
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• v.26 no.1
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• pp.91-100
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• 2017

This study aims to comparatively analyze the characteristics of light expression shown in the exhibition spaces of architects Richard Meier and Kuma Kengo, who constructed the element of invisible light into visible forms within space, using diverse techniques and components. As for the methodology therefor, it was attempted to conduct theoretical consideration of light, to experience the spaces of light by producing diverse spaces with architectural space components, that is, space, form, material, structure, and color, and to find out what space characteristics are perceived by perceivers from the interaction of the components. As for the research scope, this study intended to identify the concepts and characteristics of light and compare light in spaces, focusing on works of Richard Meier who constructed functional and mechanical spaces based on Le Corbusier's architectural language in the West and works of Kuma Kengo who claimed regionalism architecture in the East. In particular, this study intended to comparatively analyze the methods of using materials according to the filtering of light that appears different between the two architects in case that light enters into their exhibition spaces, and the effects of light production that arise from the differences, thereby pointing out the characteristics of diverse light expressions within the spaces of modern architecture. On this, this study investigated methodological differences of the two architects, who are based on East and West thoughts, in expressing light in spaces in various forms through brightness and darkness, light transmission and shadows appearing according to the nature of light, and color and materials. It is hoped that this study will provide an opportunity for promoting better understanding about other architectural cultures as well as understanding the characteristics of light in exhibition spaces.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.3
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• pp.90-98
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• 2011

The recognition and classification of paddy rice disease are of major importance to the technical and economical aspect of agricultural industry over the world. Computer vision techniques are used to diagnose rice diseases and to efficiently manage crops. Segmentation of lesions is the most important technique to detect paddy rice disease early and accurately. A new Gaussian Mean (GM) method was proposed to segment paddy rice diseases in various color spaces. Different color spaces produced different results in segmenting paddy diseases. Thus, this empirical study was conducted with the motivation to determine which color space is best for segmentation of rice disease. It included five color spaces; NTSC, CIE, YCbCr, HSV and the normalized RGB(NRGB). The results showed that YCbCr was the best color space for optimal segmentation of the disease lesions with 98.0% of accuracy. Furthermore, the proposed method demonstrated that diseases lesions of paddy rice can be segmented automatically and robustly.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.89-97
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• 2015

In this paper, a method of color image segmentation based on DBSCAN(Density Based Spatial Clustering of Applications with Noise) using compactness of superpixels and texture information is presented. The DBSCAN algorithm can generate clusters in large data sets by looking at the local density of data samples, using only two input parameters which called minimum number of data and distance of neighborhood data. Superpixel algorithms group pixels into perceptually meaningful atomic regions, which can be used to replace the rigid structure of the pixel grid. Each superpixel is consist of pixels with similar features such as luminance, color, textures etc. Superpixels are more efficient than pixels in case of large scale image processing. In this paper, superpixels are generated by SLIC(simple linear iterative clustering) as known popular. Superpixel characteristics are described by compactness, uniformity, boundary precision and recall. The compactness is important features to depict superpixel characteristics. Each superpixel is represented by Lab color spaces, compactness and texture information. DBSCAN clustering method applied to these feature spaces to segment a color image. To evaluate the performance of the proposed method, computer simulation is carried out to several outdoor images. The experimental results show that the proposed algorithm can provide good segmentation results on various images.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.9
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• pp.55-66
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• 2018

This study aims to propose color affective model of indoor space by evaluating subjects' physiological responses according to the types of behavioral and affective system. 99 subjects(44 females, 55 males) in their 20s, who had no disorders in visual perception, participated in the experiment. To categorize the subjects based on behavioral and affective system, BAS/BIS scale and Affective scale were used. Color stimuli were composed of five basic colors and three tones: vivid, pale and dull tone of R, Y, G, B, P. For physiological experiment, right and left prefrontal alpha activity was measured to analyze prefrontal EEG asymmetry. Participants were exposed to fifteen color stimuli for 20 seconds each other under the positive and negative emotional condition in a research room with the natural light blocked. The results and conclusion of this study are as follows. Along with factors of behavioral and affective system, cluster analysis was carried out and four types were classified. Type A had high BAS sensitivity, especially high 'drive' trait, and showed high levels of 'anxiety' and 'anger'. Type B had low BAS sensitivity, especially low 'fun seeking' and low 'drive' trait, and showed low levels of 'anxiety' as well as low levels of 'happiness'. Type C had low BIS sensitivity and showed high levels of 'happiness' and low levels of 'sadness'. Type D had high BIS sensitivity and showed high levels of 'lethargy' and 'sadness'. As a result of EEG signal analysis of color stimuli, Type B, Type C, and Type D showed significant differences in prefrontal alpha asymmetry under the negative emotional stimuli. Type B showed more left prefrontal activation in the spaces with pale R and dull G. Type C showed more left prefrontal activation in the spaces with vivid Y and B, pale R, and dull R, G, P. Type D showed more left prefrontal activation in the spaces with vivid Y and P, pale R, Y, P, and dull R, Y, G, B, P. The group of high BAS sensitivity was not influenced by color stimuli under the emotional conditions, whereas the group of high BIS sensitivity was affected by color stimuli under the negative emotional conditions. They showed left prefrontal activation when they were exposed the spaces with vivid, pale, dull tones of Y and P wall.

• Korean Institute of Interior Design Journal
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• v.16 no.2 s.61
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• pp.295-302
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• 2007

The use of colors plays an important role in the field of space design. The selection of proper colors influences on people who use space by making the most of the psychological and physical functions of colors. Especially, the medical space is relatively more important than other indoor spaces in the selection of colors. The medical space has to be something to do with diversity and functions, and at the same time with stability and quietude, as well as the space with general convenient facilities. Color is not only related to the expression but also to the distinction of things and the existence. It also functions as a visual language. Human beings depend heavily on the function of color as a visual language. According to previous studies, human beings depend on color by 80% of the whole range of eyesight. Thus, color is an important factor in recognizing things and space. For example, in hospital, it Is very important to apply proper colors to various medical treatment spaces for the sake of patients' rest and healing. Various colors which do not consider the function of patients' rest and healing may make the space confusing against the change of space and structure. It is also important to apply colors to the change of space and structure. Another key point that I would like to make is that color has visual, direct and physical influence on the human body. For example, the color red with long wavelength serves to regulate body temperature. Research on the color scheme for hospitals should consider both physical and psychological factors. That is why the research should be carried out in depth through continuous clinical demonstration. The present research aims to outline color planning.

• Korean Institute of Interior Design Journal
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• v.21 no.2
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• pp.112-122
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• 2012

The purpose of this study is to provide fundamental data that can improve added value of commercial space strategically using the identification of relationship between the process of consumers' purchasing psychology (AIDMA : Attention, Interest, Desire, Memory, Action) and elements of interior design. For this purpose, case study and survey were carried out on food and beverage spaces, where they were doing business for more than two years, were selected from the ones appeared in the interior journal "A." Based on the study, basic details including a ground plan, design summary and representative image were identified through preliminary research, and a researcher visited the target spaces and carried out a research and analysis on interior design elements. Three spaces among targets of the case study were selected to identify the relation between design elements and AIDMA items which consumers feel, and the survey was conducted on the customers of the selected food and beverage spaces. Results of the case study on the 18 food and beverage spaces showed that features of the each of AIDMA items in material and color elements were most well expressed. As a result of survey conducted on visitors of each food and beverage space, features of each item were expressed in overall design elements. In particular, space elements and color elements in "Space 1," space elements and lighting elements in "Space 2" and space elements, furniture & objet elements in "Space 3" were most well expressed in each space. There were slight differences depending on individual characteristics such as design concept, location and business operation of target food and beverage spaces but attributes of AIDMA items were remarkably recognized in common in the space elements.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.284-286
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• 2012

There has been increasing attention about the prevention and counter-measure of disasters. Particularly, for the case of fire disaster, early detection reduces the damage caused by fire significantly and effective detection method is important. Since most existing detectors need to be located at a close distance to fire, analyzing camera images to find fire becomes active research topic. In this paper, we analyze the color characteristics of fire images in various color spaces and report the experimental detection results. The best result is 77.8% success rate in YIQ space.