• Science of Emotion and Sensibility
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• v.21 no.1
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• pp.155-164
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• 2018

The temperature is a sense that can be felt by touch and sight. However, the concept of the temperature sensation is rarely used together with the concept of visual sensation and tactile sensation. In this study, the sensation of the temperature sensed through tactile and visual sense was investigated by the visual temperature depending on color and material characteristics. The textile was selected as a sample that could include color and material characteristics. The textile sample was composed of each 15-16 kinds of Yellow, Red, Blue, and Green of total 90 samples. The analytical method was to analyze first, the warm-cool of the colors of Yellow, Red, Blue, Green, and then to the visual temperature according to visual classification and tactile classification. And we investigated the correlation of the visual temperature depending on weight, thickness, and unevenness. As a result, the number of textiles felt by Cool and Warm differed according to the warm-cool of the colors feeling in the same textile. However, the visual temperature was different to each classification of textile. In particular, it was noticeable in thin, see-through and matte textiles. In relation to weight, thickness, unevenness and the visual temperature, the textile classification related to the weight is a classification of a hard, matte textile, and the textile classification related to the thickness is a thin, see-through textile.

• Journal of Korea Multimedia Society
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• v.4 no.2
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• pp.108-115
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• 2001

In this paper we are attempted to quantitative classification of the three object color regions on a RGB image using of an improved ML(Maximum Likelihood) classification method. A RGB color image consists of three bands i.e., red, green and blue. Therefore it has a 3 dimensional structure in view of the spectral and spatial elements. The 3D structural yokels were projected in RGB cube wherefrom the ML method applied. Between the conventionally and easily usable Box classification and the statistical ML classification based on Bayesian decision theory, we compared and reviewed. Using the ML method we obtained a good segmentation result to classify positive cell nucleus, negative cell Nucleus and background un a immuno-histological breast carcinoma image. Hopefully it is available to diagnosis and prognosis for cancer patients.

• Journal of the Korean Society of Costume
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• v.57 no.1 s.110
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• pp.39-49
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• 2007

The purpose of this study is to analyze characteristics of each of the types of Seon which was expressed in costume of worldly figures illustrated in Koryo Buddhist paintings. The types of 'Seon' are largely classified into Standard and Application types. Among these types, standard type are reclassified into the types of same color and no pattern, different color and no pattern, same color and pattern and different color and pattern. And Application type is reclassified into the types of Buseon, wrinkle, feather and leaf, Regarding styles of Seon, most costumes for men and women used Seon of Standard style, especially that of different color and no pattern style. In addition, costumes for men more often used Seon of Standard style, especially that of different color and pattern style. While, costumes far women more often used Seon of application style, especially that of feather or wrinkle style. Seon was practically used to reinforce the edge of clothes, whether for men or women, and at the same time, and at the same time decorated the clothes brilliantly. In regard to aesthetic qualities of clothes in accordance with types of Seon, clothes having Seon of same color and no pattern type was natural and simple and different color and no pattern type, artificial and simple, same color and pattern type, natural and brilliant and different color and pattern type, artificial and brilliant. And costumes having Seon of Buseon type was decorative and simple, wrinkle type, sophisticated and dynamic, feather type, voluminous and dynamic and leaf type, brilliant and dynamic.

• International Journal of Costume and Fashion
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• v.8 no.2
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• pp.50-64
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• 2008

The purpose of this study is to classify Avatar fashion style through analysis of on-line Avatar Mall and to propose color pallette and fashion contents from fashion color analysis. The literature research focused on investigating the notion, characters and types of Avatar and relation of Avatar and self-image, clothing image and color image. In data research, 4 on-line portal sites Avatar Malls were analyzed and Avatar fashion style was classified. In addition, Avatar clothing color was analyzed. The research of this study are as follows: Firstly, Avatar in the cyber space represents 'me' of the real states. Avatar fashion helps to represent Avatar Image and clothing makes human image and identity as a social sign. Color helps to constitute clothing impression and human image, therefore clothing and color are the important elements to express self-image through Avatar in the cyber space. Secondly, Avatar Malls of 4 on-line portal sites are very similar and confuse Avatar users because of no standard of fashion style classification. Accordingly, the standard of fashion style classification should be made by a fashion expert, and the specific characters of every on-line portal site should be emphasized. Thirdly, as a result of the analysis of Avatar's clothing, the clothing is divided into a real world clothing and an imaginary world clothing. There are daily clothes, uniform, event clothes, story clothes and fantasy clothes. As a result of the color analysis of Avatar clothing, White, Red, Red Purple colors and bright and vivid tone are generally used for Avatar clothing. This study is significant to classify Avatar fashion style systematically, to notify sensitive and delicate users' sign and to make Avatar fashion image emotional and high-quality.

• Journal of the Korean Geotechnical Society
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• v.38 no.5
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• pp.61-71
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• 2022

Soil color is used to determine soil classification and its physical, chemical, and biological properties. Visual determination is the most commonly used method for identifying soil color. However, it is subjective and, in many cases, non-repeatable. Digital image processing obtains useful information from digital images, accelerates soil classification, and enables the rapid identification of soil types in a field. This study develops a digital image processing-based soil color analysis technology that can consider irregular light conditions in the field. The digital image studio was designed to simulate the characteristics of natural light (illuminance and color temperature). Also, digital images of two soil samples (Jumoonjin sand and Anseong weathered soil) were captured under 12 different light conditions. For the RGB and CIELAB color systems, soil color intensities of 24 images were obtained using digital image processing. CIELAB was suitable for dealing with irregular light conditions in the field.

• Journal of the Ergonomics Society of Korea
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• v.36 no.3
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• pp.197-211
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• 2017

Objective: We propose to apply color information to facilitate finding books in the library. Background: Currently, books are classified in the basis of a decimal classification system and a call number in the library. Users find a book using the call number. However, this classification system causes various difficulties. Method: In a process analysis and survey study, we identify what the real problem is and where the problem is occurred. To solve the real problems, we derived a new search method using color information. We conducted a comparative experiment with 48 participants to see whether the new method can show higher performance. Results: The new method using color information showed faster time and higher subjective rating scores than current call number method. Also, the new method showed faster time regardless of the skill level while the call number method showed time differences in terms of the skill level. Conclusion: The effectiveness of the proposed method was verified by experiments. Users will be able to find the desired book without difficulty. This method can improve the quality of service and satisfaction of library use. Application: Our book search method can be applied as a book search tool in a real public library. We hope that the method can provide higher satisfaction to users.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.1
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• pp.68-80
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• 2013

Lung cancer is considered to be the leading cause of cancer death worldwide. A technique commonly used consists of analyzing sputum images for detecting lung cancer cells. However, the analysis of sputum is time consuming and requires highly trained personnel to avoid errors. The manual screening of sputum samples has to be improved by using image processing techniques. In this paper we present a Computer Aided Diagnosis (CAD) system for early detection and diagnosis of lung cancer based on the analysis of the sputum color image with the aim to attain a high accuracy rate and to reduce the time consumed to analyze such sputum samples. In order to form general diagnostic rules, we present a framework for segmentation and extraction of sputum cells in sputum images using respectively, a Bayesian classification method followed by region detection and feature extraction techniques to determine the shape of the nuclei inside the sputum cells. The final results will be used for a (CAD) system for early detection of lung cancer. We analyzed the performance of a Bayesian classification with respect to the color space representation and quantification. Our methods were validated via a series of experimentation conducted with a data set of 100 images. Our evaluation criteria were based on sensitivity, specificity and accuracy.

• The KIPS Transactions:PartB
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• v.14B no.2
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• pp.89-98
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• 2007

For browsing, searching, and manipulating video documents, an indexing technique to describe video contents is required. Until now, the indexing process is mostly carried out by specialists who manually assign a few keywords to the video contents and thereby this work becomes an expensive and time consuming task. Therefore, automatic classification of video content is necessary. We propose a fully automatic and computationally efficient method for analysis and summarization of spots news video for 5 spots news video such as soccer, golf, baseball, basketball and volleyball. First of all, spots news videos are classified as anchor-person Shots, and the other shots are classified as news reports shots. Shot classification is based on image preprocessing and color features of the anchor-person shots. We then use the dominant color of the field and motion features for analysis of sports shots, Finally, sports shots are classified into five genre type. We achieved an overall average classification accuracy of 75% on sports news videos with 241 scenes. Therefore, the proposed method can be further used to search news video for individual sports news and sports highlights.

• Proceedings of the IEEK Conference
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• 2002.06c
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• pp.123-126
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• 2002

Recently. the effort to make a robot alike human is increasing. The robot helps house work or make a service in restaurant is not a dream. In this paper, we studied home robot serves a beverage. Each 4 beverage has different color. (And robot can serve a drink to master with its color.) It can be applicable to other works need to recognize target object with color. Perhaps, This looks simple but it's idea can be a basis for more complex work.

• Journal of Sasang Constitutional Medicine
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• v.10 no.2
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• pp.291-304
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• 1998

This thesis on the basis of the "Sasang"(the four classification by the physical constitution) that becomes the focus of the public interest in Korea intends to grasp a color image and serve basic materials for the color usage in the interior design planning. It tries to identify the relationship between physical constitution and color. The color planning for experiment plans to be related to Korean traditional color. Analysis result on color and color image to patterns of interior color shows that the physical constitution in measure difference is bigger than sex among the many image evaluation items. Therefore, the interior color preference of Korean is bright hue and tint such as warm and cool color.