• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2001.11a
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• pp.51-55
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• 2001

Usual1y, common color systems have been expressed with two dimensional method such as books. We think that the three dimensional presentation of color is very useful to know the characteristics of the color palette for interior design. And, it might be convenient far planning the colors of interior design. This paper deals with the method of 3D presentation. We used AutoCAD 2000 and 3dMax 4.0 in modeling the color system. By presenting which parts of the munsell color system used in the colors which have appeared in interior design three dimensionally, the guideline fur the interior designers can be suggested.

• Journal of Information Processing Systems
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• v.10 no.4
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• pp.589-601
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• 2014

The performance of edge detection often relies on its ability to correctly determine the dissimilarities of connected pixels. For grayscale images, the dissimilarity of two pixels is estimated by a scalar difference of their intensities and for color images, this is done by using the vector difference (color distance) of the three-color components. The Euclidean distance in the RGB color space typically measures a color distance. However, the RGB space is not suitable for edge detection since its color components do not coincide with the information human perception uses to separate objects from backgrounds. In this paper, we propose a novel method for color edge detection by taking advantage of the HSV color space and the Mahalanobis distance. The HSV space models colors in a manner similar to human perception. The Mahalanobis distance independently considers the hue, saturation, and lightness and gives them different degrees of contribution for the measurement of color distances. Therefore, our method is robust against the change of lightness as compared to previous approaches. Furthermore, we will introduce a noise-resistant technique for determining image gradients. Various experiments on simulated and real-world images show that our approach outperforms several existing methods, especially when the images vary in lightness or are corrupted by noise.

• Journal of the Optical Society of Korea
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• v.20 no.1
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• pp.42-54
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• 2016

A hybrid color and grayscale images encryption scheme based on the quaternion Hartley transform (QHT), the two-dimensional (2D) logistic map, the double random phase encoding (DRPE) in gyrator transform (GT) domain and the three-step phase-shifting interferometry (PSI) is presented. First, we propose a new color image processing tool termed as the quaternion Hartley transform, and we develop an efficient method to calculate the QHT of a quaternion matrix. In the presented encryption scheme, the original color and grayscale images are represented by quaternion algebra and processed holistically in a vector manner using QHT. To enhance the security level, a 2D logistic map-based scrambling technique is designed to permute the complex amplitude, which is formed by the components of the QHT-transformed original images. Subsequently, the scrambled data is encoded by the GT-based DRPE system. For the convenience of storage and transmission, the resulting encrypted signal is recorded as the real-valued interferograms using three-step PSI. The parameters of the scrambling method, the GT orders and the two random phase masks form the keys for decryption of the secret images. Simulation results demonstrate that the proposed scheme has high security level and certain robustness against data loss, noise disturbance and some attacks such as chosen plaintext attack.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.267-273
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• 2017

With the development of various devices and communication technologies, the production and distribution of various multimedia contents are increasing exponentially. In order to retrieve multimedia data such as images and videos, an approach different from conventional text-based retrieval is needed. Color and shape are key features used in content-based image retrieval, which quantifies and analyzes various physical features of images and compares them to search for similar images. Color and shape have been used as independent features, but the two features are closely related in terms of cognition. In this paper, a method of describing the spatial distribution of color using a complex color model that projects three-dimensional color information onto two-dimensional complex form is proposed. Experimental results show that the proposed method can efficiently represent the shape of spatial distribution of colors by frequency transforming the complex image and reconstructing it with only a few coefficients in the low frequency.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.7
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• pp.882-891
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• 2004

The purpose of this study was to improve dye effect and method in order to facilitate the use of persimmon juice dyeing. Silk fabrics were pad-dyed to 100% pick-up using padding machine after dipping in persimmon juice extracted from unripe persimmons indigenous to Jeju. The color of dyed silk fabrics by padding method was more even and repeatable than that by traditional hand method. Persimmon juice concentrations were 4 types 10, 25, 50 and 100%. The silk fabrics were pad-dyed to 100% pick-up and were repeatedly dyed two times and three times with 100% concentration. The higher the concentration, the more color deepened. UV Irradiation instead of sunlight was applied to color developing. Irradiation times were shortened to 1-8hrs. Color values which reguired 30-50 hrs. in sunlight irradiation. were obtained in 3-5 hrs. with UV irradiation. Tensile strengths of silk fabrics in UV irradiation decreased but not decreased in sunlight irradiation. Elongations of silk fabrics in sunlight irradiation increased but decreased in W irradiation. Drape stiffness increased up to three times.

• 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 Information Display
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• v.11 no.4
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• pp.140-143
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• 2010

A simple and versatile method of fabricating color patterns in two-dimension (2D) and three-dimension (3D) was developed using the selective-wettability approach. Red, green, and blue color elements are sequentially formed on a single substrate in a pattern-by-pattern and/or pattern-on-pattern fashion, through a simple coating process. Either 2D or 3D structures in an array format are produced by controlling the thickness of the hydrophobic layer (HL) coating a substrate within the framework of wetting transition. Moreover, it was demonstrated that the stacked geometry of two successive patterns can be easily tailored for various types of color arrays, with the pattern fidelity of a few tens of nanometers in terms of only a parameter of the HL thickness.

• Fashion & Textile Research Journal
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• v.17 no.1
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• pp.127-136
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• 2015

The purpose of this study was to examine improvements in dye uptake, expression of various colors, and color fastness when washed or exposed to light. We examined these improvements by doing the combination dyeing of Juniperus chinensis heartwood and Alnus japonica heartwood extracts. In this study, two combination dyeing methods were used. One-bath dyeing involves combining Juniperus chinensis heartwood extract and Alnus japonica heartwood extract. Two-bath dyeing involves dyeing by sequence, which means that we dyed the Juniperus chinensis heartwood extract first and then dyed Alnus japonica heartwood extract sequentially (or in the opposite order). In terms of improving dye uptake, two-bath dyeing was more effective than one-bath dyeing. For cotton, dyeing Juniperus chinensis heartwood extract first and then dyeing Alnus japonica heartwood extract sequentially showed higher dye uptake in the two-bath method, while for silk, there wasn't much difference in the dyeing order. Through combination dyeing, red-violet color from Juniperus chinensis heartwood and brown color from Alnus japonica heartwood made various Y, YR, R series of color as a result. Moreover, combination dyeing improved fabric's fastness when washed or exposed to light. In the case of cotton, fabric dyed using two-bath dyeing, with Juniperus chinensis heartwood extract being the first dye, showed improvement in fastness to washing and light. And in the case of silk, fastness to washing and light improved regardless of dyeing order in two-bath dyeing.

• Journal of Broadcast Engineering
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• v.17 no.2
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• pp.305-315
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• 2012

Color correction between two or multiple images is very crucial for the development of subsequent algorithms and stereoscopic 3D camera system. Even though various color correction methods are proposed recently, there are few methods for measuring the performance of these methods. In addition, when two images have view variation by camera positions, previous methods for the performance measurement may not be appropriate. In this paper, we propose a method of measuring color difference between corresponding images for color correction. This method finds matching points that have the same colors between two scenes to consider the view variation by correspondence searches. Then, we calculate statistics from neighbor regions of these matching points to measure color difference. From this approach, we can consider misalignment of corresponding points contrary to conventional geometric transformation by a single homography. To handle the case that matching points cannot cover the whole regions, we calculate statistics of color difference from the whole image regions. Finally, the color difference is computed by the weighted summation between correspondence based and the whole region based approaches. This weight is determined by calculating the ratio of occupying regions by correspondence based color comparison.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.459-465
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• 2013

This paper is a study on an object extraction method which using color features of an object and background in the image. A human recognizes an object through the color difference of object and background in the image. So we must to emphasize the color's difference that apply to extraction result in this image. Therefore, we have converted to HSV color images which similar to human visual system from original RGB images, and have created two each other images that applied Median Filter and we merged two Median filtered images. And we have applied the Mean Shift algorithm which a data clustering method for clustering color features. Finally, we have normalized 3 image channels to 1 image channel for binarization process. And we have created object map through the binarization which using average value of whole pixels as a threshold. Then, have extracted major object from original image use that object map.