• Korean Institute of Interior Design Journal
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• no.34
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• pp.149-156
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• 2002

This study intends to acquire objective models for basic quantitative analysis of pattern and space through image-recognition technique, and verify the effectiveness of such acquired models. Many experiments showed that the recognized result can be varied depending on the different viewpoints and the analysis based on the single-viewpoint images does not provide objectivity. The experiment using multi-viewpoint image models, which was attempted as an alternative for the disadvantages, showed the recognition similar to that of the actual model. Especially, images generated at laboratory using miniature model may be useful in comparing and understanding plural number of patterns. The models that have been acquired using such images may be hard to use in acquiring images for analyzing actual building patterns or indoor space, although they may be useful in pattern analysis using miniature model. The disadvantage, however, can be supplemented with panorama VR and C. G. simulation technique. Steady researches are required on the application of visual information to the image recognition principle and the model for quantitative analysis of pattern and space in addition to the research on the construction of the model that can be used in comparing and analyzing not only form and space but also miniature models.

• Journal of Multimedia Information System
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• v.5 no.4
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• pp.221-228
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• 2018

Skin-color information is not sufficient for palmprint segmentation in complex scenes, including mobile environments. Traditional active shape model (ASM) combines gray information and shape information, but its performance is not good in complex scenes. An improved ASM method is developed for palmprint segmentation, in which Perux method normalizes the shape of the palm. Then the shape model of the palm is calculated with principal component analysis. Finally, the color likelihood degree is used to replace the gray information for target fitting. The improved ASM method reduces the complexity, while improves the accuracy and robustness.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.7
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• pp.3268-3283
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• 2018

With the advent of the Information Age, the source identification of digital images, as a part of digital image forensics, has attracted increasing attention. Therefore, an effective technique to identify the source of digital images is urgently needed at this stage. In this paper, first, we study and implement some previous work on image source identification based on sensor pattern noise, such as the Lukas method, principal component analysis method and the random subspace method. Second, to extract a purer sensor pattern noise, we propose a sample selection method to improve the random subspace method. By analyzing the image texture feature, we select a patch with less complexity to extract more reliable sensor pattern noise, which improves the accuracy of identification. Finally, experiment results reveal that the proposed sample selection method can extract a purer sensor pattern noise, which further improves the accuracy of image source identification. At the same time, this approach is less complicated than the deep learning models and is close to the most advanced performance.

• Journal of the Korean Society of Costume
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• v.52 no.4
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• pp.125-139
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• 2002

This research was conducted to develop soccer uniform designs for the enforcement of the identity of Korea. Throughout the development of the image of Taeguek and the pattern of tiger on the soccer uniform design, it was tried to show colors and symbolic elements representing Korean traditional themes. The contents of the research cover; first, analysis of historic changes in Korean uniform design for the representative soccer players and uniform designs of the soccer players in other countries; second, analysis of the image of Taeguek and the pattern of tiger; third, analysis of the surveys of professional soccer players; and forth, uniform designs proposed and evaluation. To develope new uniform designs, Taeguek and tiger motives were adopted to express the identity of Korea by looking at the analysis of uniforms in countries including Korea. In an addition, today's fashion trends of active sportswear were analyzed to get the new idea of design. With considering the surveys of the professional soccer players in Korea, the functional designs identifying the Korean image could have come out. As a results of this research new designs of national soccer players' uniform including 4 designs for the motif of Taeguek, 4 designs for the motif of guae, 4 designs for colors of Taeguek, 4 designs for the motif of Tiger were developed, and 2 samples were made. Surveys for evaluation comparing new design & present uniform were progressed. An aesthetic and symbolic aspects of new design were better than present uniform regarding this survey.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.5
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• pp.551-555
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• 2010

In protein 2-DE image analysis, the accuracy of spot-matching operation which identifies the spot of the same protein in each 2-DE gel image is intensively influenced by the errors caused by the various experimental conditions. This paper proposes an efficient method to find more accurate spot-matching patterns based on multiple reference gel images in spot-matching pattern analysis in protein 2-DE image analysis. Additionally, in order to improve the reduce the execution time which is increased exponentially along with the increasing number of gel images, a "partition then extension" framework is used to find spot-matching pattern of long length and of higher accuracy. In the experiments on real 2-DE images of human liver tissue are used to confirm the accuracy and the efficiency of the proposed algorithm.

• The Research Journal of the Costume Culture
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• v.15 no.5
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• pp.825-837
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• 2007

To analyze the design of Christian Dior, 216 pieces of Dior's works were collected and studied from the COLLECTION(Seoul: Dong Ah TV) from 2003 to 2005. The result is as follows. In recent three year period, Christian Dior maintained the feminine image and implemented different additions such as sexy, ethnic, avant-garde and casual image in every season. Also, to reflect a new trend or fashion sense, images of ethnic, retro, hippie or vintage were applied. In using color, different main color(YR, R, Y, BG, RP, B) were chosen every season to pursue variations. For the pattern usage, feminine beauty was presented by numerous applications of flowered pattern. Also the practice of pattern and hue in different rations in every season pursued variations in design.

• Journal of Biosystems Engineering
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• v.21 no.3
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• pp.315-324
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• 1996

This study was one of a series of studies on application of machine vision and image processing to extract the geometrical features of plants and to analyze plant growth. Several algorithms were developed to measure morphological properties of plants and describing the growth development of in-situ lettuce(Lactuca sativa L.). Canopy, centroid, leaf density and fractal dimension of plant were measured from a top viewed binary image. It was capable of identifying plants by a thinning top viewed image. Overlapping the thinning side viewed image with a side viewed binary image of plant was very effective to auto-detect meaningful nodes associated with canopy components such as stem, branch, petiole and leaf. And, plant height, stem diameter, number and angle of branches, and internode length and so on were analyzed by using meaningful nodes extracted from overlapped side viewed images. Canopy, leaf density and fractal dimension showed high relation with fresh weight or growth pattern of in-situ lettuces. It was concluded that machine vision system and image processing techniques are very useful in extracting geometrical features and monitoring plant growth, although interactive methods, for some applications, were required.

• Transactions of the Society of Information Storage Systems
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• v.8 no.2
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• pp.67-71
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• 2012

Page-oriented holographic data storage (HDS) is very sensitive to the tilt error. Therefore, tilt error should be measured and compensated. Especially, mechanical tilt measurement method cannot cope with tilt error measurement because photopolymer medium has shrinkage problem. Therefore, the method to solve this problem is using the reconstructed image which can represent both tilt and shrinkage effect. In this paper, we suggest disc tilt measurement algorithm using image pattern of retrieval data.

• Fashion & Textile Research Journal
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• v.13 no.2
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• pp.147-154
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• 2011

The purpose of this study was to investigate the clothing image according to coloration, tone, and interval of checked pattern in color contrast. The experimental materials developed for this study were a set of stimulus and response scales. The stimuli were 24 color pictures, in which coloration(RB: Red+Blue, YP: Yellow+Purple), tone(light, dull, dark), and interval(0.5 cm, 1.5 cm, 3.5 cm, 5.5 cm) were manipulated. The 7-point scale was used for evaluation of clothing image. Data were obtained from 240 female college students living in Seoul, Gwangju, Jinju, and Masan on May 2010. For data analysis, ANOVA and Duncan-test were used by using SPSS program. Results of this study were as follows.; Clothing image according to coloration, tone, and interval of checked pattern consisted of five dimensions of attractiveness, freshness, appeal, modesty, and activity. Coloration showed an independent effect on attractiveness and appeal. Tone showed an independent effect on freshness, appeal, and modesty. Interval showed an independent effect on freshness. Also, interaction effects of coloration and tone on appeal were found. Interaction effects of coloration and interval on modesty were found.

• Journal of the Korea Fashion and Costume Design Association
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• v.12 no.3
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• pp.133-143
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• 2010

The purpose of this study was to investigate the clothing image according to gender, coloration of chromatic and achromatic color, and interval of checked pattern. The experimental materials developed for this study were a set of stimulus and response scales. The stimuli were 16 color pictures, in which the gender(male, female), interval(0.5cm, 1.5cm, 3.5cm, 5.5cm), and coloration(WR: white+red, WY: white+yellow, WB: white+Blue, WP: white+purple) were manipulated. The 7-point scale was used for evaluation of clothing image. Data were obtained from 192 male college students and 192 female college students living in Seoul, Gwangju, Daegu, Jinju, and Changwon on March 2010. For data analysis, ANOVA and Duncan-test were used by using SPSS program. Results of this study were as follows.; Clothing image according to coloration of chromatic and achromatic color, and interval of checked pattern consisted of six dimensions of attractiveness, appeal, activity, freshness, modesty, and cuteness. Gender showed an independent effect on attractiveness, appeal, activity, freshness, and cuteness. Interval showed an independent effect on attractiveness. Coloration showed an independent effect on appeal, activity, freshness, modesty, and cuteness. Also, interaction effects of gender and coloration on freshness and cuteness were found.