• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2009.11a
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• pp.235-239
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• 2009

The purpose of this study is to apply the basic data of the color plan to satisfy the internal desire of residents by considering residents's special in housing space. So we analyzed and surveyed the current condition of color plan in housing space where age units of 30~40 are living. The results of this study are as followed. when the current place of color distribution was observed, ceiling and general wall showed that N(white) systems and YR of bright tone was mostly distributed. On other hand the bottom showed that the calm tone YR was mostly distributed. we could know that residents wanted to show the special of rooms by using point wall. This tendency more presented in privacy room than public room. Through this study, we could evaluate that the special of residents is not presented in color plan of the housing space where age units of 30~40 are living. So we could think that it is needed methods of color plan considered the special of residents for discriminative characteristic of the design in housing space.

• IEIE Transactions on Smart Processing and Computing
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• v.6 no.4
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• pp.237-245
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• 2017

This paper presents a fire detection algorithm using color and motion models from video sequences. The proposed method detects change in color and motion of overall regions for detecting fire, and thus, it can be implemented in both fixed and pan/tilt/zoom (PTZ) cameras. The proposed algorithm consists of three parts. The first part exploits color models of flames and smoke. The candidate regions in the video frames are extracted with the hue-saturation-value (HSV) color model. The second part models the motion information of flames and smoke. Optical flow in the fire candidate region is estimated, and the spatial-temporal distribution of optical flow vectors is analyzed. The final part accumulates the probability of fire in successive video frames, which reduces false-positive errors when fire-like color objects appear. Experimental results from 100 fire videos are shown, where various types of smoke and flames appear in indoor and outdoor environments. According to the experiments and the comparison, the proposed fire detection algorithm works well in various situations, and outperforms the conventional algorithms.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.6C
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• pp.610-618
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• 2002

This paper presents a new image retrieval method that is based on color space and block region information. The color space information of images can be obtained by color binary set, and the block region information can be obtained by regional segmentation and feature. The candidate images are decided by comparing with color features and its binary set of query image and image feature database for retrieval. Particularly, it is possible that the retrieval using similarity-measurements has the weights of color spatial distribution arid its objective block region features. This retrieval method using color spatial and block region features is shown with the effectiveness on the result of implementation on image database with 6,000 images.

• Asian Journal of Business Environment
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• v.14 no.1
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• pp.15-22
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• 2024

Purpose: The development of natural batik dyes based on a combination of coconut fiber waste and avocado leaves using the extraction method is important to support the green economy and reduce chemical waste in Indonesia. Research design, data and methodology: The research explores the use of coconut fiber and avocado leaf waste extraction as a natural batik dye and conducts market testing to assess consumer satisfaction. Results: Indonesian batik exports are growing, but synthetic dye practices are causing a decline in demand. To address this, natural dyes are being explored, including coconut fiber waste and avocado leaf waste. Conclusion: Test results from washing at 40 degrees Celsius in terms of color changes and color staining, from sweat in terms of changes in acid color and changes in base color, to sunlight in terms of color fastness value, to heat to iron in terms of color change and color staining shows a value of 3-4 (quite good) and 4-5 (good), meaning that coconut fiber and avocado leaves waste can be used as natural batik dye.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.6
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• pp.38-43
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• 2008

Skin color information is an important feature for face region detection in color images. This can detect face region using statistical skin color model who is created from skin color information. However, due to the including of different race of people's skin color points, this general statistical model is not accurate enough to detect each specific image as we expected. This paper proposes method to detect correctly face region in various color image that other complexion part is included. In this method set face candidate region applying complexion Gausian distribution based on YCbCr skin color model and applied mathematical morphology to remove noise part and part except face region in color image. And achieved correct face region detection because using Haar-like feature. This approach is capable to distinguish face region from extremely similar skin colors, such as neck skin color or am skin color. Experimental results show that our method can effectively improve face detection results.

• The KIPS Transactions:PartB
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• v.11B no.3
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• pp.267-274
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• 2004

In this paper, the interesting moving objects tracking algorithm using color information on Multi-Video camera is proposed Moving objects are detected by using difference image method and integral projection method to background image and objects image only with hue area, after converting RGB color coordination of image which is input from multi-video camera into HSI color coordination. Hue information of the detected moving area are normalized by 24 steps from 0$^{\circ}$ to 360$^{\circ}$ It is used for the feature parameters of the moving objects that three normalization levels with the highest distribution and distance among three normalization levels after obtaining a hue distribution chart of the normalized moving objects. Moving objects identity among four cameras is distinguished with distribution of three normalization levels and distance among three normalization levels, and then the moving objects are tracked and surveilled. To examine propriety of the proposed method, four cameras are set up indoor difference places, humans are targeted for moving objects. As surveillance results of the interesting human, hue distribution chart variation of the detected Interesting human at each camera in under 10%, and it is confirmed that the interesting human is tracked and surveilled by using feature parameters at four cameras, automatically.

• The Journal of Internal Korean Medicine
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• v.34 no.1
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• pp.71-85
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• 2013

Objectives : The aim of this study was to evaluate the distribution of tongue color and the correlation of the tongue colors with clinical laboratory parameters. Methods : Statistical analysis on the frequency of each tongue color and the results of the clinical laboratory parameters in each tongue color group. Results : Tongue colors that appeared most frequently were 702c, 695c, 493c, 694c, 701c, 500c, 7432c, 7431c, 7634c, 7419c in that order. Following them, 494c and 507c were rarer colors, and 501c, 673c, 687c, 693c, 696c, 703c, 7418c were equally rarest colors. Among each tongue color group, a significant difference was found in the result of complete blood cell count (CBC). The level of red blood cell (RBC) of 7432c group was significantly higher than that of the other groups except 694c group. The level of hemoglobin (Hb), hematocrit (Hct) of 7432c group were significantly higher than those of all the other groups. The level of RBC of 7431c group was lowest and significantly different from 694c, 7432c group. In results of the other tests were not significantly different. However the level of total cholesterol was higher in 695c, 694c, 500c group, and the level of triglyceride was higher in 500c, 7431c, 694c group. Those four colors have a low chroma and 7431c, 695c take blue violet color. Conclusions : The tongue color is distributed throughout following colors by order of frequency: 702c, 695c, 493c, 694c, 701c, 500c, 7432c, 7431c, 7634c, 7419c, 708c, 494c, 507c, 501c, 673c, 687c, 693c, 696c, 703c, 7418c. Some parameters of CBC has a significant correlation with some tongue colors. Other results including lipid profile, renal function test, and liver function test had no significant difference according to tongue color. However, the colors which have low chroma or take blue violet color tented to be higher in the levels of total cholesterol and triglyceride.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.5 s.305
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• pp.1-10
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• 2005

Content-based image retrieval systems are being actively investigated owing to their ability to retrieve images based on the actual visual content rather than by manually associated textual descriptions. In this paper, we propose a novel approach for image retrieval based on edge structural features using edge correlogram and color coherence vector. After color vector angle is applied in the pre-processing stage, an image is divided into two image parts (high frequency image and low frequency image). In low frequency image, the global color distribution of smooth pixels is extracted by color coherence vector, thereby incorporating spatial information into the proposed color descriptor. Meanwhile, in high frequency image, the distribution of the gray pairs at an edge is extracted by edge correlogram. Since the proposed algorithm includes the spatial and edge information between colors, it can robustly reduce the effect of the significant change in appearance and shape in image analysis. The proposed method provides a simple and flexible description for the image with complex scene in terms of structural features of the image contents. Experimental evidence suggests that our algorithm outperforms the recently histogram refinement methods for image indexing and retrieval. To index the multidimensional feature vectors, we use R*-tree structure.

• Asian-Australasian Journal of Animal Sciences
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• v.29 no.10
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• pp.1392-1397
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• 2016

Guanine nucleotide-binding protein subunit alpha-s ($Gn{\alpha}s$) is a small subunit of the G protein-couple signaling pathway, which is involved in the formation of coat color. The expression level and distribution of $Gn{\alpha}s$ were detected by quantitative real-time-polymerase chain reaction (qPCR), western blot, and immunohistochemistry to investigate the underlying mechanisms of coat color in white and black skin tissues of mice. qPCR and western blot results suggested that $Gn{\alpha}s$ was expressed at significantly higher levels in black mice compared with that of white mice, and transcripts and protein possessed the same expression in both colors. Immunohistochemistry demonstrated $Gn{\alpha}s$ staining in the root sheath and dermal papilla in hair follicle of mice skins. The results indicated that the $Gn{\alpha}s$ gene was expressed in both white and black skin tissues, and the expression level of $Gn{\alpha}s$ in the two types of color was different. Therefore, $Gn{\alpha}s$ may be involved in the coat color formation in mice.

• Journal of the Korea Fashion and Costume Design Association
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• v.11 no.2
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• pp.23-32
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• 2009

The purpose of this study is to research fabrics, colors, and arrangement of color in Jogak-bo which were developed during the late Chosun dynasty. It is expected that from the analysis of the number, distribution and arrangement of colors of Jogak-bo in the late Chosun we can suggest various color arrangements thoset can be applied to modern fashion are summarized as follows. First, as for the number of colors of Jogak-bo according to material, silk fabrics Jogak-bo used a variety of colors whereas hemp fabrics Jogak-bo mostly used one color showing contrast between silk fabrics Jogak-bo and hemp fabrics ones. Second, as for the distribution of colors of silk Jogak-bo and hemp fabrics ones, warm colors were used most frequently. On the other hand, fewer achromatic colors were used to silk fabrics Jogak-bo, and they were more applied to hemp fabrics Jogak-bo. As for the use of cold colors, fewer cold colors were applied to hemp fabrics Jogak-bo compared to silk fabrics Jogak-bo. Third, as for the arrangement of colors, various colors were used in silk fabrics Jogak-bo, but a single color or not more than 1 color was applied to hemp fabrics Jogak-bo. It well demonstrates brilliance and glamour of silk Jogak-bo and stability and unity of hemp fabrics Jogak-bo. As for the arrangement of colors of Jogak-bo, most of Jogak-bo showed contrasting colors and shades, and similar colors and shades were hardly found in silk fabrics Jogak-bo whereas they were frequently found in hemp fabrics Jogak-bo.