• Title/Summary/Keyword: Dimension of image

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A Visual Image Perception of Clothing Colors, Color Combinations of Borean Traditional Dress for Woman(Part I) (복식색과 색조합의 이미지 지각(제1보) -여자 저고리, 치마를 중심으로 한 준실험 연구 -)

  • 이혜숙;김재숙
    • Journal of the Korean Society of Clothing and Textiles
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    • v.22 no.5
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    • pp.597-606
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    • 1998
  • The purposes of the study were 1) to evaluate the visual image of colored Korean traditional dress for woman 2) to analyze the colors and, color combinations effect on the image perception using gestalt theory. The research method was a quasi-experimental with a between subjects design. The experimental materials developed for the study were a set of stimuli and a response scale. The stimuli was consisted of 17 drawings of females wearing Korean tradinational dress, by using CAD simulation. A response scale consisted of semantic differential scales. The subjects were 1138 undergraduate students of Taejon city, Chungnam province and Chungbuk province. Their responses to the semantic differential scales were analyzed using factor analysis, one-way ANOVA, Duncan's multiple range test, 1-test. Results were as follows; 1) The image of the stimulus was consisted of the 4 different dimensions.(sociability, evaluation, visibility, attractiveness) 2) Clothing colors had significant effects on image perception of the evaluation dimension, visibility dimension and attractiveness dimension in the mono-color set. The blue showed the most positive image on the evaluation dimension, and the yellow and the gray showed negative image on the same dimension. The yellow showed the most salient image and the gray showed the least salient image on the visibility dimension. The red showed the most attractive image and the green showed the least attractive image on the attractiveness dimension. 3) In hi-color set stimulus, the perceived image was influenced by color combinations. The yellow blouse-the red skirt set showed the most sociable image on the sociability dimension. The blue blouse-the green skirt set showed the most positive image on the evaluation dimension. The yellow blouse-the red skirt set showed the most salient image and the blue blouse-the green skirt set showed the least salient image on the visibility dimension. And the red blouse-the yellow skirt set showed the most attractive image on the attractiveness dimension. On conclusion the visual image of Korean traditional dress wearer was affected by dress colors and color combinations.

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The Pattern Recognition System Using the Fractal Dimension of Chaos Theory

  • Shon, Young-Woo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.15 no.2
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    • pp.121-125
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    • 2015
  • In this paper, we propose a method that extracts features from character patterns using the fractal dimension of chaos theory. The input character pattern image is converted into time-series data. Then, using the modified Henon system suggested in this paper, it determines the last features of the character pattern image after calculating the box-counting dimension, natural measure, information bit, and information (fractal) dimension. Finally, character pattern recognition is performed by statistically finding each information bit that shows the minimum difference compared with a normalized character pattern database.

Image Enhancement for Two-dimension bar code PDF417

  • Park, Ji-Hue;Woo, Hong-Chae
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2005.11a
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    • pp.69-72
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    • 2005
  • As life style becomes to be complicated, lots of support technologies were developed. The bar code technology is one of them. It was renovating approach to goods industry. However, data storage ability in one dimension bar code came in limit because of industry growth. Two-dimension bar code was proposed to overcome one-dimension bar code. PDF417 bar code most commonly used in standard two-dimension bar codes is well defined at data decoding and error correction area. More works could be done in bar code image acquisition process. Applying various image enhancement algorithms, the recognition rate of PDF417 bar code is improved.

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A Study on the Evaluation of Clothing Pattern Image by the Personality Type (성격유형에 따른 복식문양 이미지 평가에 관한 연구)

  • 남기선;한명숙
    • The Research Journal of the Costume Culture
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    • v.12 no.1
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    • pp.59-72
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    • 2004
  • The objectives of this study were to investigate the perceptions of Korean female university students for clothing pattern tendency and structural element of clothing pattern image dimension and to find how individual personality type influence the preferred clothing pattern characteristics. For this study, a questionnaire was designed and sent to 600 female university students of Daejeon, Seoul and metropolitan area. The tool used in this study was MBTI(The Myers-Briggs Type Indicator) Form G Korean version and for the analysis of data SPSS 10.0 package were used. 10 representative patterns for this study were floral, dot, stripe, check, animal, abstract & artistic, geometric, vegetable & leaf, paisely, patchwork pattern. The data were analyzed by factor analysis, arithmetic mean, One-Way ANOVA, x²-test. The major findings were as follows: Clothing pattern image dimension perceived by Korean female university students for 10 representative patterns were basic form, deluxe, specialty, and cultural dimension. Among them, basic form and deluxe dimension were major dimensions. In basic form dimension, dot pattern score was high indicating female students perceive it as light, comfortable, clean, cool and simple pattern image. In deluxe dimension, floral pattern scored high and in specialty dimension, abstract and artistic pattern scored high among other pattern image. In cultural dimension, geometric pattern and check pattern scored high. Based on other detailed analysis results, It is concluded that the personality type greatly influence clothing pattern evaluation. For example, in case of color combination of patchwork pattern, there was a difference in color preference depend on a personality type such as sensing(S) or intuition(N). Therefore, sensing personality type preferred adjacent color combination than contrast color combination. Detailed marketing strategy is necessary in planning textile design of merchandise plan.

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Morphological. Analysis of Wear Particles by Fractal Dimension (차원해석에 의한 기계습동재료의 마멸분 형상특징 분석)

  • Won, D. W.;Jun, S. J.;Cho, Y. S.;Kim, D. H.;Park, H. S.
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 2001.11a
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    • pp.53-58
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    • 2001
  • Fractal dimension is the method to measure the roughness and the irregularity of something that cannot be defined obviously by Euclidean dimension. And the analysis method of this dimension don't need perfect, accurate boundary and color like analysis lot diameter, perimeter, aspect or reflectivity of wear particles or surface. If we arranged the morphological characteristic of various wear particle by using the characteristic of fractal dimension, it might be very efficient to the diagnosis of driving condition. In order to describe morphology of various wear particle, the wear test was carried out under friction experimental conditions. And fractal descriptors was applied to boundary and surface of wear particle with image processing system. These descriptors to analyze shape and surface wear particle are boundary fractal dimension and surface fractal dimension.

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Prediction of osteoporosis using fractal analysis on periapical radiographs (구내방사선사진의 프랙탈 분석을 이용한 골다공증 예측)

  • Park Gum-Mi;Jung Yun-Hoa;Nah Kyung-Soo
    • Imaging Science in Dentistry
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    • v.35 no.1
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    • pp.41-46
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    • 2005
  • Purpose : The purpose of this study was to investigate whether the fractal dimension and radiographic image brightness of periapical radiograph were useful in predicting osteoporosis. Materials and Methods : Ninety-two postmenopausal women were classified as normal, osteopenia and osteoporosis group according to the bone mineral density of lumbar vertebrae and periapical radiographs of both mandibular molar areas were taken. The ROIs of 358 areas were selected at periapical and interdental areas and fractal dimension and radiographic image brightness were measured. Results : The fractal dimension in normal group was significantly higher than that in osteoporosis group at periapical ROI (P < 0.05). The radiographic image brightness in normal group was higher than that in osteopenia and osteoporosis group. There was significant difference not only between normal and osteopenia group (P < 0.05) but also within osteopenia and osteoporosis group (P< 0.01) at periapical ROI. Significant difference was observed not only between normal and osteopenia group but also between normal and osteoporosis group at interdental ROI (P< 0.01). Positive linear relationship was weakly shown at Pearson correlation analysis between fractal dimension and radiographic image brightness. BMD significantly correlated with fractal dimension at periapical ROI (P< 0.01), and BMD and radiographic image brightness significantly correlated at both periapical and interdental ROIs (P< 0.01). Conclusion : This study suggests that the fractal dimension and radiographic image brightness of periapical ROI may predict BMD. (Korean J Oral Maxillofac Radiol 2005: 35 : 41-6)

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A High Image Compression for Computer Storage and Communication

  • Jang, Jong-Whan
    • The Journal of Natural Sciences
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    • v.4
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    • pp.191-220
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    • 1991
  • A new texture segmentation-based image coding technique which performs segmentation based on roughness of textural regions and properties of the human visual system (HVS) is presented. This method solves the problems of a segmentation-based image coding technique with constant segments by proposing a methodology for segmenting an image texturally homogeneous regions with respect to the degree of roughness as perceived by the HVS. The fractal dimension is used to measure the roughness of the textural regions. The segmentation is accomplished by thresholding the fractal dimension so that textural regions are classified into three texture classes; perceived constant intensity, smooth texture, and rough texture. An image coding system with high compression and good image quality is achieved by developing an efficient coding technique for each segment boundary and each texture class. For the boundaries, a binary image representing all the boundaries is created. For regions belonging to perceived constant intensity, only the mean intensity values need to be transmitted. The smooth and rough texture regions are modeled first using polynomial functions, so only the coefficients characterizing the polynomial functions need to be transmitted. The bounda-ries, the means and the polynomial functions are then each encoded using an errorless coding scheme. Good quality reconstructed images are obtained with about 0.08 to 0.3 bit per pixel for three different types of imagery ; a head and shoulder image with little texture variation, a complex image with many edges, and a natural outdoor image with highly textured areas.

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Image Retrieval Using Directional Features (방향성 특징을 이용한 이미지 검색)

  • Jung, Ho-Young;Whang, Whan-Kyu
    • Journal of Industrial Technology
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    • v.20 no.B
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    • pp.207-211
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    • 2000
  • For efficient massive image retrieval, an image retrieval requires that several important objectives are satisfied, namely: automated extraction of features, efficient indexing and effective retrieval. In this work, we present a technique for extracting the 4-dimension directional feature. By directional detail, we imply strong directional activity in the horizontal, vertical and diagonal direction present in region of the image texture. This directional information also present smoothness of region. The 4-dimension feature is only indexed in the 4-D space so that complex high-dimensional indexing can be avoided.

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A study on the influence of personality dimension on preferred brand image of Women's ready-made-wear -Concentrated on adult females- (성격차원이 선호 의복상표이미지에 미치는 영향에 관한 연구 -여성을 중심으로-)

  • 이미혜
    • Journal of the Korean Home Economics Association
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    • v.28 no.3
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    • pp.13-24
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    • 1990
  • The main purpose of this study are as follows ; 1) To examine closely the effect of personality dimension on brand image. 2) To investigate the difference of variables about brand image according to the characteristics of the population statistics and draw the strategies of marketing for our wear enterprises. A 300 Samples were selected from female in Seoul and the investigation was conducted during 21 days, from 1998. 9. 21 to 1988. 10. 11. As for survey methozs, the personality dimension test developed by Eysenk was adopted. To measure the brand image, the adjectives of the semantic differentia scale developed by Malhotra and adjective that has been used in various were image analysis were adopted. The data were analysed using the statistical technic of Correlation Coefficient, F-test, and X2 test. The Results obtained from this study were as follows. 1. There were partially significant relationships between adult female's four subordinate variables of the personality dimension and preferred brand image on Women's ready-made wear. 1) The people having a high Psychoticism tendency preferred "individual" image and less preferred "practical" image than the people of low Psychoticism. 2) The people having a high extraversion tendency preferred "bold", "aged" image and less preferred "feminine", "practical" image. 3) The unstable female having a high neuroticism tendency preferred "abscure" image and less preferred "Practical" "gaudy", "Open hearted" image. 4) The people having a high lie tendency perferred "intricate", "classical" image and less preferred "bold", "citified", "incongruous" image. 2. There were partially significant differences in adult female's preferred brand image on women's ready made wear according to the characteristics of the population statistics.

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Differences in Perception of Image Words and Perception Dimension of Desired Image according to Sex Variable for College Students in a School Context (학교 상황에서 대학생의 성별에 따른 이미지 용어 지각 및 추구 이미지 지각 차원 차이)

  • 정인희
    • The Research Journal of the Costume Culture
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    • v.12 no.2
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    • pp.199-210
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    • 2004
  • This study was intended to identify the differences in perception of image words and perception dimension of desired image according to sex variable for college students in a school context. Data were collected by questionnaires distributed to 443 college students from August to September of 2000. After eliminating incomplete questionnaires, 396 were analyzed. As results of factor analysis, 7 desired image factors were determined for male and female, respectively. On the basis of these results, major perception differences were identified according to sex variable. Differently-perceived image words were as fellows: For intellectual image, male relates it with sporty while female relates it with graceful; for masculine image, male relates it with mature while female relates it with sporty; and for feminine image, male relates it with sexy and graceful while female relates it modest, pure, and cute. Multidimensional scaling was employed to determine the perception dimension of desired image. Two dimensions were accepted to interpret the results for both sex, respectively. 'Feminine-masculine' and 'conspicuous-plain' were criteria for male students, while 'unnatural-natural' and 'feminine-masculine' were criteria for female students.

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