• Journal of the Korea Computer Industry Society
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• v.6 no.2
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• pp.265-270
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• 2005

Histogram is very sensitive in lighting because of feature between color space. When it has intensity of moved light, It may be possibility that similarity drop down, So In this paper, introduce new image retrieval method that calls HAC (Histogram Area Calculation). This method divides area of Histogram by a few area and calculate areas. The proposed method is to calculate area of Histogram and compare similarity based on feature that histogram has presently. Performance of our proposed method was verified more excellent than other Conventional method and Merged Color Histogram.

• Journal of the Korean Graphic Arts Communication Society
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• v.3 no.1
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• pp.1-10
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• 1985

In Graphic art reproduction process it is important to realize that which set of inks and their densities (film thickness) and which set of halftone positive should be aimed at. in order to meet the demand for good color reproduction. There have been various studies to calculation the color reproduction of the graphic arts. however. these study were based on the assumed characteristics of the materials. In this study the relationship between wet-trapping (wet on wet-printing) and increases of ink layer and printing sequence are examined.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.2
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• pp.116-120
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• 2006

This paper discusses an approach for detecting a new edge in color images. The color image is to be represented by a vector field, and the color image edges are detected as differences in the local vector statistics. This method is based on the calculation for the vector angle between two adjacent pixels. Unlike Euclidean distance in RGB space, the vector angle distinguishes the differences in chromaticity, independent of luminance or intensity. The proposed approach can easily accommodate concepts, such as variable template edge detection, as well as the latest developments in vector order statistics for color image processing. In this paper, it is used not a conventional fixed template operator but a variable template operator The variable template is implemented and experimental results for digital color images are included.

• International Journal of Internet, Broadcasting and Communication
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• v.7 no.2
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• pp.9-15
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• 2015

Various studies with regard to increasing the optical efficiency of plasmonic color filters have previously been conducted, such as mixing materials or applying diverse pattern shapes. Fundamentally, it is important to maximize the photonic crystal effect by finding the optimum periods of lattice as well as calculating the most efficient transmission area. In this study, we propose a technical method for optimizing the plasmonic color filters that have a high color gamut and luminance by analyzing the light spectrums based on the 1931 color coordinate system. Moreover, we suggest a calculation method in order to define the individual color purity of red and green and blue filters. Consequently, efficiency values are obtained independently from each color filter by evaluating the color purity and the luminance. The final result obtained from simulation are 27.6% of relative luminance and 25.3% of color gamut. The proposed optimization method is applicable to all plasmonic color filters having photonic crystal arrays.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.240-243
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• 2002

In this paper, we propose a face region detection based on skin-color distribution and facial feature extraction algorithm in color still images. To extract face region, we transform color using general skin-color distribution. Facial features are extracted by edge transformation. This detection process reduces calculation time by a scale-down scanning from segmented region. we can detect face region in various facial Expression, skin-color deference and tilted face images.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.429-430
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• 2011

Roughness set theory is a popular topic to use in color-image segmentation. A new popular color image segmentation algorithm is proposed by scientists with the point using traditional histogram and Histon construct roughness set histogram. But, there is still a problem about that is the correlativity of color vector in roughness set histogram, which take an inactive effect in the process of color-image segmentation. Therefore, this paper represents further research based on this and proposed an improved method proved through lot of experiments. The experimental result reduces the correlativity of color vector in roughness set histogram and calculation time remarkably.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.6
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• pp.2807-2814
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• 2011

This paper proposes an identification algorithm that detects detrimental digital video contents based on the color space features. In this paper, discrimination algorithm based on a 2-Dimensional Projection Maps is suggested to find targeted video images. First, 2-Dimensional Projection Maps which is extracting the color characteristics of the video images is applied to extract effectively detrimental candidate frames from the videos, and next estimates similarity between the extracted frames and normative images using the suggested algorithm. Then the detrimental candidate frames are selected from the result of similarity evaluation test which uses critical value. In our experimental test, it is suggested that the results of the comparison between the Color Histogram and the 2-Dimensional Projection Maps technique to detect detrimental candidate frames. Through the various experimental data to test the suggested method and the similarity algorithm, detecting method based on the 2-Dimensional Projection Maps show more superior performance than using the Color Histogram technique in calculation speed and identification abilities searching target video images.

• Journal of IKEEE
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• v.18 no.3
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• pp.403-408
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• 2014

In this paper, we propose a rasterizer architecture using varying interpolator which process several pixels at a time. Proposed rasterizer is able to handle 16 pixel at a time and output the color of up to 64. It can reduce the redundancy of calculation by configuring a matrix transformation and matrix calculation for rasterization, and it can enhance the speed of rasterizer by increasing the reusability. As a result, proposed rasterizer has improve 11% in color interpolation, 17% in the processing speed of the rasterizer by comparing with conventional research.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.24 no.12
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• pp.1-8
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• 2010

Recently, adjustable CCT(Correlated Color Temperature) luminaire for the human circadian rhythm and room atmosphere has been developed. Accurate CCT control is needed in the luminaire for the human circadian rhythm. Therefore, appropriate CCT calculation method for each of fluorescent lamps and white LEDs was examined using three CCT calculation methods in this study. To make accurate CCT combination, CCT for two different CCT lamps was separately measured. And this study compared and analyzed proportionally calculated CCT value with measured value from the compounded luminaire with the two lamps.

• Journal of Integrative Natural Science
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• v.13 no.2
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• pp.83-86
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• 2020

In In this study, technique has been suggested according to the calculation of thresholds of histogram based on overlap areas for reducing noise while analyzing the functions of them. Suggested algorithm is to convert histogram extracted from color images to gray level and select overlap areas from extracted histogram. In addition, feature table is configured after extracting histogram in the relevant overlap area while comparing and retrieving for query and database video images by using this feature table. Suggested retrieval system has been confirmed to be more outstanding with retrieval function in video images with more noises than the system that only used color histogram.