• 전자공학회논문지B
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• 제32B권3호
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• pp.57-65
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• 1995

This paper presents a new classified vector quantization (VQ) technique using a neural network model in the transform domain. Prior to designing a codebook, the proposed approach extracts class features from a set of images using self-organizing feature map (SOFM) that has the pattern recognition characteristics and the same as VQ objective. Since we extract the class features from the training images unlike previous approaches, the reconstructed image quality is improved. Moreover, exploiting the adaptivity of the neural network model makes our approach be easily applied to designing a new vector quantizer when the processed image characteristics are changed. After the generalized BFOS algorithm allocates the given bits to each class, codebooks of each class are also generated using SOFM for the maximal reconstructed image quality. In experimental results using monochromatic images, we obtained a good visual quality in the reconstructed image. Also, PSNR is comparable to that of other classified VQ technique and is higher than that of JPEG baseline system.

• 한국의류산업학회지
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• 제10권6호
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• pp.882-889
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• 2008

The purpose of this study is to analyze the differences of attitudinal body image and clothing behavior according to the body cathexis. The data were collected via a self-administered questionnaire from 419 male and female college students in Jechon and analyzed by factor analysis, cluster analysis, t-test and regression. The results of this study were as follows : 1. Male students were more satisfied with their body than female students. Also it was found that height influenced to the body cathexis only to male students. 2. Attitudinal body image and clothing behavior classified into four factors. 3. Male and female students classified into satisfied and unsatisfied group and each group showed different attitudinal body image and clothing behavior. 4. Different attitudinal body images affected to the clothing behavior according to body cathexis and gender.

• 한국의류학회지
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• 제26권11호
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• pp.1638-1648
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• 2002

In this study, we classified adjectives to represent the image of clothing materials as the fundamental process for evaluation of the images on various fabrics and reviewed hierarchy and evaluation dimensions regarding the image of clothing materials. The adjectives to express the image of clothing materials were extracted from Fashion Magazine and Fashion Trend Book The similarity among adjectives was measured by pair-wise comparison without showing fabrics. From the result of the cluster analysis, 87 adjectives were finally extracted through the integrated processing of the adjectives with similar meaning and a close distance. Through the cluster analysis, the hierarchy of the clothing material images was examined. The clothing material images were classified into 12 primary sub-clusters such as ‘feminine', ‘warm', ‘neat', ‘classical', ‘pastoral.' ‘casual', ‘modern'. ‘ambiguous', ‘primitive', masculine', ‘abundant', and ‘arranged'. The dimensions evaluating the clothing material images were also developed using the multi-dimensional scaling method. A 4-dimensions and 8-axes system was established, which is composed of ‘masculine-feminine', ‘new-old', ‘casual-classical', and ‘ambiguous-arranged' images.

• 패션비즈니스
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• 제5권2호
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• pp.117-127
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• 2001

This study identified self-image of the eldery wemen by relatied to body-satisfaction, self-image, shopping-orientatons. For study, a questionnaire was used a method of mearsurement and eldery women in seoul and kyunggi were selected as a sample. Data was processed by SPSS PC+ program and analyzed by using frequency, percentage, t-test, factor analysis and Pearson's correlation. As a result, the body-satisfaction of eldery women was very low, their pursuiting self-image was gracios, younger, noble. The self-image classified grace attraction factor, intelligence factor and activity factor. Relationship between body-satisfaction and self-images was significant to gracious attractive factor and active factor. The shopping-orientatons classified brand name disply factor, personality pride factor, pratical benefit factor, prudence factor, planning purchase factor. Shopping-orientatons and self-images were significant to Pearson's correlation. The aim of this study help fashion contractors and retailers to establish effective marketing strategies.

• 대한전기학회논문지:시스템및제어부문D
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• 제54권3호
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• pp.166-173
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• 2005

Preserving image features, edges and details in the process of impulsive noise filtering is an important problem. To avoid image blurring, only corrupted pixels must be filtered. In this paper, we propose an effective impulse noise detection method using Self-Organizing Neural Network(SONN) which applies median filter selectively for removing random-valued impulse noises while preserving image features, edges and details. Using a $3\times3$ window, we obtain useful local features with which impulse noise patterns are classified. SONN is trained with sample image patterns and each pixel pattern is classified by its local information in the image. The results of the experiments with various images which are the noise range of $5-15\%$ show that our method performs better than other methods which use multiple threshold values for impulse noise detection.

• 융합신호처리학회논문지
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• 제3권4호
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• pp.7-16
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• 2002

본 논문에서는 지도 정보를 자동으로 분석하여 등고선과 숫자, 기호를 추출해 내는 알고리즘에 대해 연구하였다. 이를 위해 우선 지도를 이진 영상으로 변환한 후 세선화 작업을 거친다. 세선화된 영상으로부터 등고 성분들을 분리시킨 후, 비등고 성분에 대한 특징분석 후 숫자와 기호를 자동으로 분리한다. 마지막으로 복원 알고리즘을 이용하여 손실 부분을 복원한다. 여러 종류의 등고선 지도영상을 대상으로 모의실험을 수행하여 제안한 알고리즘의 성능을 검증하였다.

• 복식
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• 제64권3호
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• pp.142-154
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• 2014

The purpose of this study is to classify fashion images of senior women who have emerged as influential customers in the fashion industry. Characteristics of fashion images of senior women are identified by fashion style, preference color, and self-image. With the collected data, the Q group, consisting of Korean women who are in their 50s, was targeted using the Q methodology. The following factors were evaluated through in-depth interviews: fashion style, preference color and self-image. The fashion images of senior women were classified into the following 4 types: Characteristic modern, Reasonable basic, Comfortable contemporary, and Conservative elegance. Those classified fashion image types were influenced by the factors of nobleness, usefulness, personality, fashionableness, and youthfulness in accordance with fashion style, preference color, and self-image. The results of this study may provide basic information for fashion image planning for senior women and meaningful data for redefining and diversifying the concept of senior fashion brand which reflects the generation's changed taste and lifestyle.

• 한국통신학회논문지
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• 제29권4C호
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• pp.533-540
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• 2004

본 논문에서는 웨이블릿(wavelet) 영역에서 분류 예측, KLT (Karhunen-Loeve transform), 및 3-D SPIHT(three-dimensional set partitioning in hierarchical trees) 알고리즘(algorithm)을 이용하여 인공위성 화상 데이터에 존재하는 대역내 중복성 (intraband redundancy)과 대역간 중복성 (interband redundancy)을 효과적으로 제거하는 새로운 압축 방법을 제안하였다. 대역간 중복성을 제거하기 위해 웨이블린 영역에서의 분류 정보를 이용하여 영역별 대역간 예측을 행한다. 영역별 대역간 예측에 의해 복원되는 화상들은 예측 오차로 인해 원 화상 (original image)과 차 화상 (residual image)을 가진다. 이 차 화상들 간에 존재하는 대역간 중복성을 제거하기 위하여 KLT를 행한다. 웨이블릿 변환 (wavelet transform)과 KLT를 행하여 대역내 및 대역간 크기 순서로 재정렬된 변환 계수들을 3-D SPIHT 알고리즘을 이용하여 부호화 한다. 제안한 방법의 성능 평가를 위해서 다분광 화상 데이터에 대하여 압축 실험을 행하여 제안한 방법이 기존의 방법들 보다 동일한 여러 비트율 (bit rate)에서 평균 PSNR (peak signal-to-noise ratio)이 0.12∼3.83㏈ 향상됨을 확인하였다.

• 한국생활과학회지
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• 제18권1호
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• pp.137-143
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• 2009

The purpose of this study is to examine the evaluation of texture image and preference according to the structural characteristics of silk fabric, and to analyze the effects of texture image and sensibility on the preference. 53 female subjects evaluated fabric image and sensibility of 17 specimens of white silk fabrics sold on the market with semantic differential scale. The data were analyzed through factor analysis, Pearson correlational coefficient and t-test using SPSS win 13.0. For the evaluation, structural characteristics such as fiber contents, weave type, weight and thickness were analyzed. Factor analysis showed that sensibilities were classified into 3 categories; 'surface property', 'weight', 'flexibility'. Fabric images were classified into 2 categories; 'elegance' and 'naturalness'. Statistically significant differences of structural characteristics on the texture image were observed. Weave type affected 'surface property' and fiber contents affected' flexibility'. Weight and weave type affected' elegance', too. The significant factors affecting preference were fabric image of 'elegance' and structural characteristics of 'weave type'. The results of this study showed that the most preferred silk fabric is smooth and soft satin weaved fabric with texture image of 'elegance'.

• International Journal of Human Ecology
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• 제8권1호
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• pp.27-37
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• 2007

The purpose of this study is to investigate the preference of the hand and the sensibility image of underwear textiles according to seasons. According to a recent survey of 109 college students, using a 7 scale evaluation to the preference of the hand and the sensibility image among 13 summer and 10 winter underwear textiles. The data was analyzed through mean, SD, factor analysis, t-test, Person correlation analysis and regression analysis using SPSS Win 11.0. The summer underwear textiles were classified according to six tactile factors: stiffness/surface unevenness, weight, elasticity, moistness, extension, and warm-cool and 3 sensibility image factors: elegant individual, modern, and sporty-casual. The winter textiles were classified according to six tactile factors: stiffness/surface unevenness, elasticity, warm-cool, drapability, moistness and flexibility and divided into 2 sensibility images: modern elegant and sporty-casual. Factors expressing hand and sensibility image according to season showed significant difference. In the summer, weight, in the winter, drapability and flexibility showed significant difference at the hand factor evaluation. The hand factors: weight, warm-cool and modern sensibility image factors effect the preference of summer underwear textile, also the hand factors-elasticity, stiffness/surface unevenness and the sensibility image factor-easy-sport-casual-effect the preference of winter textiles. Therefore, the thin, light, and cool textiles which are also gorgeous and sporty-casual are preferred for summer underwear textiles while soft, simple and comfortable textiles are preferred for winter textiles.