• The Research Journal of the Costume Culture
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• v.19 no.5
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• pp.1061-1074
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• 2011

This study was conducted based on a comparative analysis of design-specific features prevalent in the Women's Wear Collection S/S 2011. As the method of this study, the denim styles were classified by various fashion design factors consisting of silhouette, fit, color, and textile fabric, which were extracted from an image database. The properties of denim fabrics associated with each fashion image were investigated to inform fabric development and washing. The results of the study show that the dense and glossy surface of the denim fabric represent a modern trend, which can be achieved by blending lyocell, tencel and rayon or by using different textiles, such as lightweight plain weave and satin instead of twill. For casual look, various washing effects were utilized jean's casual feeling like freedom and activities, while in a modern image, washing effects was restricted. And a glossy textile offers a simple modern look. The Modern image represents a simple H-silhouette and wide or straight fit in bottoms as well. Brightness can be adjusted by washing-induced bleaching. High brightness gives an elegant image, while low brightness makes a casual image. The purpose of this study is to configure a database for the development of design in the growing women's casual wear market. In addition, This study, in which the elements for specific fashion image-making were analyzed, can be used as a reference for developing denim style and fabric.

• Cartoon and Animation Studies
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• s.32
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• pp.43-61
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• 2013

The aberrant movement that Gilles Deleuze wanted to describe represents 'unclosed' or 'unlimited' possibility; it also means that a being has unlimited virtual power until it turns into a thing. In this paper, I analyzed and classified "Dialogue Factual,"one of the animation films by Jan Svankmajer, based on the logical grounds by Gilles Deleuze. First, as a result of analysis according to the seven characteristics in the experimental animation by Paul Wells, 'Dialogue Factual' has all of the features in the experimental animation, and, as I have found, the analysis through a comparison with Carl Dreyer's "The Passion of Joan Of Arc" indicates the works by Jan Svankmajer do not conform to Sensory-motor schemata. Such aberrant properties are involved with the time-image by Gilles Deleuze; by comparison with "Lavender Mist No. 1", one of the artworks by Jackson Pollock, it has been confirmed that "crystal image," the important concept of the time-image, is inherent in "Dialogue Factual". Lastly, the analysis of shots suggests that the movement-image and the time-image coexist in "Dialogue Factual". However, they are not to be classified by a clear-cut dichotomy.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.1
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• pp.100-110
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• 2003

The purpose of this study were 1) to find out the structural elements in classifying clothes images, and 2) to segment the consumer market for women's street clothes based on clothes image preferences and to identify the group differences in psychological variables, purchasing behavior variables and demographic variables. The sample was taken from 1106 middle class women who were in thier 30's∼40's living in Gwangju city. Consumers were classified into six groups: active image group (35.4%), feminine image group (25.9%). daring image group (16.5%), elegant image group (10.8%), dressy image group (8.9%) and brisk image group (3.5%). Women in their 30's∼40's preferred elegant image, daring image, active image and feminine image. Elegant image oriented group: This group is the lowest education level group and has the highest rating of housewife. This group has the lowest scores use of person information search, Daring image oriented group: Woman in their 30's prefers daring image. This group thinks practical benefit sought is less important than self-expression benefit sought. This group has the highest scores use of non-person information search, Active image oriented group: This group is practical benefit seeking group. and purchases the lowest amount of clothes. The amount of average household income is the lowest. Feminine image oriented group: The amount of average household income is the highest. This group perceives more youth$.$fashion benefit sought and self-expression benefit sought than elegant image oriented group. ANOVA, $\chi$$^2$-test revealed differences among groups according to benefit sought use of information sources, purchasing behavior variables and demographic variables.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.2
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• pp.171-176
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• 2013

X-ray cross-sectional image-based inspection technique is one of the most useful methods to inspect the brazing joints of heat exchanger. Through X-ray cross-sectional image acquisition, image processing, and defect inspection, the defects of brazing joints can be detected. This paper presents a method to judge the type of detected defects automatically, and to display them three-dimensionally. The defect type is classified as unconnected defect, void, and so on, based on location, size, and shape information of defect. Three-dimensional display which is realized using OpenGL (Open Graphics Library) will be helpful to understand the overall situation including location, size, shape of the defects in a test object.

• The Journal of the Acoustical Society of Korea
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• v.15 no.2E
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• pp.85-91
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• 1996

New very low bit rate segmentation video image coding technique is proposed by segmenting image into textually homogeneous regions. Regions are classified into one of three perceptually distinct texture classes(perceived constant intensity, smooth texture, and rough texture) using the Human Visual System(HVS) and the fractals. To design very low bit rate video image coder, it is very important to determine the best block size for estimation the fractal dimension and the thresholding of the fractal dimension for each texture class. Good quality reconstructed images are obtained with about 0.10 to 0.21 bit per pixel(bpp) for many different types of imagery.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.20 no.1
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• pp.65-73
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• 2007

Pattern classification of single and multiple discharge sources was applied using a wavelet image signal method in which a feature extraction was applied using a hidden sub-image. A feature extracting method that used vertical and horizontal images using an MSD method was applied to an averaging process for the scale of pulses for the phase. A feature extracting process for the preprocessing of the input of a neural network was performed using an inverse transformation of the horizontal, vertical, and diagonal sub-images. A back propagation algorithm in a neural network was used to classify defective signals. An algorithm for wavelet image processing was developed. In addition, the defective signal was classified using the extracted value that was quantified for the input of a neural network.

• Korean Institute of Interior Design Journal
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• no.38
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• pp.217-224
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• 2003

The purpose of this study is to analyze the recent trend color of bathroom based on analysis result of digital color image processing, to analyze the emotional color of that, and to suggest the harmony color combination for the bathroom. It leads to the two final results. That is, the main color of bathroom image is recognized as three color classifications such as YR-Y, Y-GY, PB-P, 2) from the point of emotional aspect, the trend color of the bathroom can be classified into four image categories: 'modern', 'mild', 'elegant', 'natural'. Finally, under these categories, this paper propose 12 color harmony schema which can be applied to color in, especially bathroom Interior design.

• Journal of the Korea Fashion and Costume Design Association
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• v.3 no.2
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• pp.87-106
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• 2001

This study is to measure and evaluate the sensibility image for textile color and pattern design of woman's golfwear. Four-group colors and four patterns classified by a pracical survey on the market are presented. A questionnaire has 14 sensibility related words scaled by 7 point semantic differential method. The practical research is performed for 150 women screened by sensibility test for individual preference analysis based on the ages. Each subject is answered by a face-to-face interview method to improve survey's accuracy. For statistical results there are significant differences in treatment means of sensibility measurements according to the ages. Sensibility image for textile color and pattern design is significantly different according to individual character based on ages. In summary, this paper has proposed the sensibility image scale for textile color and pattern design of women's golfwears to satisfy individual sensibility according to ages. The results of this study can be effectively applied to develop textile color and pattern design based on human sensibility.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.10a
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• pp.271-274
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• 1997

This paper presents an adaptive quantization of image sequences using the Radial Basis Function Network(RBFN) which classifies interframe image blocks. The clssification algorithm consists of two steps. Blocks are classified into NA(No Activity), SA(Small Activity), VA(Verical Activity), and HA(Horizontal Activity) classes according to edges, image activity and AC anergy distribution. RBFN is trained using the classification results of the above algorithm, which are nonlinear classification features are acquired from the complexity and variability of difference blocks. Simulation result shows that the the adaptive quantization using the RBFN method produced better results better results than that of the sorting and MLP methods.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.9-11
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• 2005

We propose a new content-based image retrieval using a block color co-occurrence matrix (BCCM) and pattern correlogram. In the proposed method, the color feature vectors are extracted by using BCCM that represents the probability of the co-occurrence of two mean colors within blocks. Also the pattern feature vectors are extracted by using pattern correlogram which is combined with spatial correlation of pattern. In the proposed pattern correlogram method. after block-divided image is classified into 48 patterns with respect to the change of the RGB color of the image, joint probability between the same pattern from the surrounding blocks existing at the fixed distance and the center pattern is calculated. Experimental results show that the proposed method can outperform the conventional methods as regards the precision and the size of the feature vector dimension.