• Journal of Sensor Science and Technology
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• v.20 no.3
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• pp.178-186
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• 2011

Line tracking is a well defined method of mobile robot navigation. It is simple in concept, technically easy to implement, and already employed in many industrial sites. Among several different line tracking methods, magnetic sensing is widely used in practice. In comparison, vision-based tracking is less popular due mainly to its sensitivity to surrounding conditions such as brightness and floor characteristics although vision is the most powerful robotic sensing capability. In this paper, a vision-based robust path line detection technique is proposed for the navigation of a mobile robot assuming uncontrollable surrounding conditions. The technique proposed has four processing steps; color space transformation, pixel-level line sensing, block-level line sensing, and robot navigation control. This technique effectively uses hue and saturation color values in the line sensing so to be insensitive to the brightness variation. Line finding in block-level makes not only the technique immune from the error of line pixel detection but also the robot control easy. The proposed technique was tested with a real mobile robot and proved its effectiveness.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.5
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• pp.37-44
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• 2011

This paper proposes a confusion-line separating algorithm in a CIE Lab color space using color segmentation for protanopia and deuteranopia. Images are segmented into regions by grouping adjacent pixels with similar color information using the hue components of the images. To this end, the region growing method and the seed points used in this method are the pixels that correspond to peak points in hue histograms that went through a low pass filter. In order to establish a color vision deficiency (CVD) confusion line map, we established 512 virtual boxes in an RGB 3-D space so that boxes existing on the same confusion line can be easily identified. After that, we checked if segmented regions existed on the same confusion line and then performed color adjustment in an CIE Lab color space so that all adjacent regions exist on different confusion lines in order to provide the best color identification effect to people with CVDs.

• Journal of Biosystems Engineering
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• v.35 no.2
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• pp.138-145
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• 2010

An on-line algorithm that discriminates brown rice kernels on their echelon feeder using color image processing is presented for quality inspection. A rapid color image segmentation algorithm based on Bayesian clustering method was developed by means of the look-up table which was made from the significant clusters selected by experts. A robust estimation method was presented to improve the stability of color clusters. Discriminant analysis of color distributions was employed to distinguish nine types of brown rice kernels. Discrimination accuracies of the on-line discrimination algorithm were ranged from 72% to 85% for the sound, cracked, green-transparent and green-opaque, greater than 93% for colored, red, and unhulled, about 92% for white-opaque and 67% for chalky, respectively.

• IEIE Transactions on Smart Processing and Computing
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• v.4 no.4
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• pp.272-280
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• 2015

This paper proposes color databases that can be used for various purposes for people with a color vision deficiency (CVD). The purpose of this paper is to group colors within the sRGB gamut into the CIE $L^*a^*b^*$ color space using the Brettel algorithm to simulate the representative colors of each group into colors visible to people with a CVD, and to establish a confusion line database by comparing colors that might cause confusion for people with different types of color vision deficiency. The validity of the established confusion lines were verified by using an Ishihara chart. The different colors that confuse those with a CVD in an Ishihara chart are located in the same confusion line database for both protanopia and deutanopia. Instead of the 3D RGB color space, we have grouped confusion colors to the CIE $L^*a^*b^*$ space coordinates in a more distinctive and intuitive manner, and can establish a database of colors that can be perceived by people with a CVD more accurately. Editor - Highlight - Do these changes reflect the intended meaning? If not, please rephrase as intended.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.1
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• pp.47-59
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• 2021

This study aims to provide inspiration and methods for menswear design by analyzing elements for men's fashion using flower images. The results are as follows: Men's fashion types with flower images were categorized as classic tailored, casual tailored, casual wear, sports-outdoor. The order of frquency was casual tailored, casual, classic tailored, and sports outdoor. For the classic tailored type, the flower images are related with an X-line silhouette, and the arrangement methods, such as a scattered patterns, one-point patterns, and surface techniques, such as printing and embroidery were used, and similar color or monochromatic schemes appeared sequentially. For the casual tailored type, the flower images are related to an H-line silhouette, arrangement methods such as a scattered pattern, panel pattern, and surface techniques, such as print, embroidery, and jacquard were used, similar color and accent color schemes appeared sequentially. For the casual type, the flower images are related to H-line and Y-line silhouettes, and arrangement methods, such as a scattered pattern, all-round continuous pattern, and panel pattern, and surface techniques, such as print, jacquard, embroidery, and patchwork were used, similar color and contrast color schemes appeared sequentially. For the sports outdoor type, the flower image were related to A-line and H-line silhouettes, arrangement methods, such as a scattered pattern and all-round continuous pattern, and surface techniques, such as print and jacquard were used, monochromatic scheme and contrast color schemes appeared sequentially. Therefore, the flower images in men's fashion were applied to various design elements, and displayed an interesting result, different from conventional design approach.

• Molecules and Cells
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• v.23 no.2
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• pp.192-197
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• 2007

Bulb color in onions (Allium cepa) is an important trait whose complex inheritance mechanism involves epistatic interactions among major color-related loci. Recent studies revealed that inactivation of dihydroflavonol 4-reductase (DFR) in the anthocyanin synthesis pathway was responsible for the color differences between yellow and red onions, and two recessive alleles of the anthocyanidin synthase (ANS) gene were responsible for a pink bulb color. Based on mutations in the recessive alleles of these two genes, PCR-based markers for allelic selection were developed. In this study, genotype analysis of onions from segregating populations was carried out using these PCR-based markers. Segregating populations were derived from the cross between yellow and red onions. Five yellow and thirteen pink bulbs from one segregating breeding line were genotyped for the two genes. Four pink bulbs were heterozygous for the DFR gene, which explains the continuous segregation of yellow and pink colors in this line. Most pink onions were homozygous recessive for the ANS gene, except for two heterozygotes. This finding indicated that the homozygous recessive ANS gene was primarily responsible for the pink color in this line. The two pink onions, heterozygous for the ANS gene, were also heterozygous for the DFR gene, which indicated that the pink color was produced by incomplete dominance of a red color gene over that of yellow. One pink line and six other segregating breeding lines were also analyzed. The genotyping results matched perfectly with phenotypic color segregation.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.793-797
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• 2003

In this paper, we present a self-localization method for mobile robots using vertical line features of indoor environment. When a 2D map including feature points and color information is given, a mobile robot moves to the destination, and acquires images by one camera from the surroundings having vertical line edges. From the image, vertical line edges are detected, and pattern vectors meaning averaged color values of the left and right region of each line segment are computed. The pattern vectors are matched with the feature points of the map using the color information and the geometrical relationship of the points. From the perspective transformation of the corresponded points, nonlinear equations are derived. Localization is carried out from solving the equations by using Newton's method. Experimental results show that the proposed method using mono view is simple and applicable to indoor environment.

• The Research Journal of the Costume Culture
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• v.12 no.1
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• pp.104-120
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• 2004

Animation character market in Korea has been dominated by licensed characters (e.g., Walt Disney′s) of which market share is 80%. While market share for Korean characters such as "Mashimaro" and "Little Dinosaur Dooly" is increasing, the application of such characters to fashion products is still limited. For the development of the Korean character market, application of original animation characters should be applied to various fashion products. The main purpose of this study was to design toddler apparel line using "Little Dinosaur Dooly," one of the most popular domestic animation characters. The design focus is the green color of Dooly because the color is the distinctive concept of the brand. Results of the study indicated that developing toddler apparel line with a Korean animation character was a meaningful attempt, as imported licensed characters were dominant in domestic fashion market. The key differentiating factor was the use of green color. In addition, use of various supporting characters, namely Dooly′s friends, demonstrated potential line extension forming animation character groups similar to Warner Brothers′"Looney Tunes."

• Journal of Institute of Control, Robotics and Systems
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• v.18 no.6
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• pp.562-570
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• 2012

This paper proposes a robust object tracking algorithm using object features and on-line learning based particle filter for mobile robots. Mobile robots with a side-view camera have problems as camera jitter, illumination change, object shape variation and occlusion in variety environments. In order to overcome these problems, color histogram and HOG descriptor are fused for efficient representation of an object. Particle filter is used for robust object tracking with on-line learning method IPCA in non-linear environment. The validity of the proposed algorithm is revealed via experiments with DBs acquired in variety environment. The experiments show that the accuracy performance of particle filter using combined color and shape information associated with online learning (92.4 %) is more robust than that of particle filter using only color information (71.1 %) or particle filter using shape and color information without on-line learning (90.3 %).

• Journal of the Korean Society of Costume
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• v.17
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• pp.83-91
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• 1991

I observed the meaning and the symbolic charaeters about the color and style of clothes appearing at "GER GA JAP BOK GO" written by Kyu Soo Park. The black color of Hyun Eui as a ceremonial dress of man symbolizes Heaven and Virtue. The yellow color of Whang Sang as a ceremonial dress of man symbolizes the Earth and the Impartiality. The blue or black decoration line over white ground of Sim Eui as ordinary dress of man symbolizes also Filial Piety. In woman ordinary upper garment, So Eui, black texture edging with blue line implies the mutual symmetricity with her husband's. Besides, white color texture lining So Eui symbolical to a Devine Nature and Homage implies also the deep concealment of feminine body. The black ground color of child dress "Chi Po Eui" symbolizes Naivety, and the red silk color of it's decoration line, belt and tress ornaments implies the praise of the Virtue & Learning and also "Expel the Evil" of our traditional national characteristics. As described above the meaning and symbolic characters about the color and style of clothes appearing at "GER GA JAP BOK GO" has a very Chinese disposition, but it's author Kyu Soo Park modified somewhat to be in harmony with the real social situation of our Country during that latest stage of Yi Dynasty, because he was one of the prominent pragmatist at that time.