• Archives of design research
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• no.18
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• pp.87-96
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• 1996

The purpose of this study is to classify the images of blue based on expressive values communicated by color on symbolic aspects and the blue images expressed in modem apparel fashion. Images of blue are classified through the document studies as follows : The expressive values of blue are cold, receding, and sedative. Based on these values, affimative images of blue are classified infinite, lofty, peaceful, tranquil and contemplate. Negative images are classified sad, indecent, rebellious, and indignant. In apparel fashion, blue acted as a important image factor in classic, workwear, military and marine look. Blue green and purple blue in pale, greyish and light tones were showed as trend color. Meanwhile, purple blues in dark greyish, pale and greyish tones were more used for domestic womens wear.

• Smart Media Journal
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• v.5 no.3
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• pp.54-61
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• 2016

According to many smart devices are development, SNS(Social Network Service) users are getting higher that is possible for real-time communicating, information sharing without limitations in distance and space. Nowadays, SNS users that based on communication and relationships, are getting uses SNS for information sharing. In this paper, we used the SNS posts for users to extract the category and information provider, how to following of recommend method. Particularly, this paper focuses on classifying the words in the text of the posts and measures the frequency using Inception-v3 model, which is one of the machine learning technique -CNN(Convolutional Neural Network) we classified image word. By classifying the category of a word in a text and image, that based on DMOZ to build the information provider DB. Comparing user categories classified in categories and posts from information provider DB. If the category is matched by measuring the degree of similarity to the information providers is classified in the category, we suggest that how to recommend method of the most similar information providers account.

• Journal of Fashion Business
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• v.12 no.5
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• pp.94-110
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• 2008

The main objective of this research was to understand the characteristics of separation color coordination of contemporary female fashion through the analysis of 'pre-a-porter Collections' of four collections (i. e. cities) - Paris, Milan, New York, London - from the periods of 2004 S/S to 2008/9 A/W. The data collection of 265 was done by reviewing 'pre-a-porter Collections' magazine and total 265 observations were made. Statistical analysis of frequency and also qualitative interpretation of separation color coordination characteristics were completed. The main findings were; (1) In separation color coordination of contemporary women's fashion collections, there were three main types of color scheme which were classified into seven detailed categories of color combination. First was the achromatic color & one chromatic separation color scheme which was classified into four categories of - black & white, black & grey, white & grey, and grey & grey - color combination. Second was the chromatic colors & one achromatic separation color scheme which classified into two categories of achromatic & chromatic color & one achromatic separation color combination, and chromatic colors & one achromatic separation color combination. Third was chromatic colors and one chromatic separation color combination. (2) The achromatic colors and one chromatic separation color scheme showed two phases of reinforcing the strong and modern image, or softening the hard and dull image of achromatic color combination. In color schemes which used more than two chromatic colors, the separation color frequently converted the tedious and monotonous fashion image, which caused by identical or similarity in color or tone harmony, into more attractive and interesting. (3) In conclusion, through the various use and coordination of various color schemes, color harmony and separation colors, the separation color coordination in contemporary female fashion has been suggested the effective way of color combination which can lead the visual pleasure and the vitality along with the unity and the harmony. This characteristics can create various images and visual diversity for fashion. The types and the use of color scheme and separation color showed different trends in four collections.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.4
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• pp.115-125
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• 2020

Rider jackets were once reserved for military uniforms but have become an important styling item in recent fashion trends. The design characteristics of the rider jacket are rooted in symbolism, and the image associated with a rider jacket is in line with the challenging of authority and being a member of the rebellious youth subculture. Usually, young people with anti-social tendencies wore jackets, and some styles were used as a medium to express their emotional homogeneity, and they received favorable responses as the items represented them. The design characteristics of a rider jacket can be largely divided into resistance against the older generation, violence, challenging cultural norms, sexuality, and resistance, as well as embodying violent characteristics, including strength, courage. and male chauvinism. The reason for the development of these challenging characteristics are disparagement and anger of the lower class, who were excluded from mainstream society. Rider jackets can be viewed negatively due to the kind of message it is conveying against mainstream society. Among the sexual features were leather pants, short-length leather rider jackets, glossy metal accessories, and belt buckles, which also highlighted gay and decadent images that came to be associated with the jackets. The drapery created various kinds of wrinkles according to the way of dressing, and it had beautiful expressiveness while serving to express the body more beautifully. Drapery can be classified according to the aesthetic characteristics or expression techniques, and if the type of drapery is classified according to the morphological characteristics, it can be classified into variable and fixed structures, depending on whether the part to which the drapery is applied is fluid or not. In other words, it depends on the dressing method or the intention, and if the drapery technique is directly applied to the garment or is attached to the form. This fashion design proposal may have the greatest significance in that it sought to propose a new style incorporating a drapery technique with a strong feminine image to a rider jacket, which traditionally was associated with a masculine image.

• Proceedings of the IEEK Conference
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• 2000.06c
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• pp.113-116
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• 2000

In this paper, we present new scheme for image coding which efficiently use the relationship between the properties of spatial image and its wavelet transform. Firstly an original image is decomposed into several layers by the wavelet transform, and simultaneously decomposed into 2$\^$n/ ${\times}$ 2$\^$n/ blocks. Each block is classified into 3 regions according to their property, i.e., low activity region(LAR), midrange activity region(MAR), high activity region(HAR). Secondly we are applied texture modeling technique to LAR, MAR and HAR are encoded by Stack-Run coding technique. Finally our scheme Is superior to the Zerotree method in both reconstructed image Quality and transmitted bit rates.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.3
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• pp.91-102
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• 1994

For the analysis of textured image, it requires large storage space and computation time to calculate the matrix features such as SGLDM(Spatial Gray Level Dependence Matrix). NGLDM(Neighboring Gray Level Dependence Matrix). NSGLDM(Neighboring Spatial Gray Level Dependence Matrix) and GLRLM(Gray Level Run Length Matrix). In spite of a large amount of information that each matrix contains, a set of several correlated scalar features calculated from the matrix is not sufficient to approximate it. In this paper, we propose a new classifier for textured images based on these matrices in which the projected vectors of each matrix on the meaningful directions are used as features. In the proposed method, an unknown image is classified to the class of a known image that gives the maximum similarity between the projected model vector from the known image and the vector from the unknown image. In the experiment to classify images of agricultural products, the proposed method shows good performance as much as 85-95% of correct classification ratio.

• International Journal of Precision Engineering and Manufacturing
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• v.1 no.1
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• pp.146-151
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• 2000

The importance of shape reconstruction is increasing in many areas such as RPD(Rapid Product Development) and reverse engineering. Typical data in these areas are mainly classified as the shape data measured by a laser scanner and the data extracted from the CT image. The goal of this research is to realize three-dimensional shape construction by showing a possible way to analyze input image data and reconstruct the original shape. Two main steps of the reconstructing process are obtaining cross-section data from image processing and linking loops between one slice and the next. Objects reconstructed in this way are compared with other objects using a laser scanner and modelled by commercially available software. The technique is expected to be used in reverse engineering applications and the object modeling with automated process.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.6
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• pp.865-876
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• 2002

The purpose of the study is to clarify yellow image and formative properties in modern fashion. For the study of formative properties 230 kinds of costume samples being visual power in yellow have been selected from photographs in fashion magazines and divided into tones: vivid(S, B, Dp), vague(L, Lgr, D), bright(Vp, P, B). For the study of image 30 kinds of costume samples is used. The Study was measured by using Semantic Differential method. The subjects were 50 students majoring in clothing and textile. The data were analyzed by factor analysis, ANOVA, MDS and regression analysis. The results of analysis are as follow: 1. Factor analysis has extracted 4 factors of yellow image in the fashion. These factor are Attractiveness, Cheerfulness, Hardness and Softness, Gorgeousness. 2. There were significant difference in visual evaluation of yellow tones. 3. Evaluative dimensions of yellow was classified as Soft-Hard, Gorgeous-Unpretentious. 4. The mage effect on Preference, Buying needs, Pleasant and Riches was consist of complicated sensibility.

• Journal of information and communication convergence engineering
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• v.7 no.4
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• pp.535-538
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• 2009

Speckle noise reduction for ultrasound CT image using morphological adaptive median filtering based on edge preservation is presented in this paper. Speckle noise is multiplicative feature and causes ultrasound image to degrade widely from transducer. An input image is classified into edge region and homogeneous region in preprocessing. The speckle is reduced by morphological operation on the 2D gray scale by using convolution and correlation, and edges are preserved. The adaptive median is processed to reduce an impulse noise to preserve edges. As the result, MAM of the proposed method enhances the image to about 10% in comparison with Winner filter by Edge Preservation Index and PSNR, and 10% to only adaptive median filtering.

• Journal of the Korean Society of Costume
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• v.31
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• pp.223-236
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• 1997

The purpose of this study is to set up the concept and the structure of 'the image' theoretically. The study is carried out by the literature research. The image is constituted of several concepts which are as followed: The concept of definition: perception cognition/impression. The concept of target: objective/per-son The concept of content: internal/exter-nal The concept of level :lower/upper Especially levels of image are divided into 3 different levels which are 'simple level' 'complex level 1' 'com-plex level 2' The concept of image is classified into the horizontal and the vertical structure. The concepts of the definition the target the con-tent are included in horizontal strcture and the concept of the level is included in the ver-tical structure.