• Title/Summary/Keyword: inner image

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A Study on Clothing Behavior and Clothing Image of Out/Inner Wear According to Sex Role Stereotype (성역할정체감이 겉옷.속옷에 대한 의복행동 및 의복이미지 선호에 미치는 영향)

  • 윤은아;이선재
    • Journal of the Korean Society of Clothing and Textiles
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    • v.24 no.2
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    • pp.152-163
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    • 2000
  • This study intends to analyze the sex role stereotype that could be effective variable for conduction clothing behavior and clothing image preference, to find out the relationship between sex role stereotype and out/inner wear clothing behavior and clothing image preference of women, and to provide useful information for establishing marketing strategies of out/inner wear market. A total of 628 samples were selected from adult female in Seoul. Questionnaire was used as major method of gathering data. They were analyzed by SAS package. Main result of this study were follows: 1. In the relationship between clothing behavior and clothing image preference and demographic variables, four clothing-behaviores of out wear, and comfort and aesthetics of inner wear showed significant differences according to all of the demographic variables. 2. In the relationship between sex role stereotype and clothing behavior and clothing image preference, four types of sex role stereotype were showed significant differences in comfort, modesty, aesthetics and masculine-feminine image of out wear, and masculine-feminine image of inner wear. 3. In the consistency between out wear clothing behavior and clothing image preference, and inner wear clothing behavior and clothing image preference according to sex role stereotype, all cases except one showed no significant consistency.

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X-ray Image Processing for the Korea Red Ginseng Inner Hole Detection ( I ) - Preprocessing technique for inner hole detection - (홍삼 내공검출을 위한 X-선 영상처리기술(I) - 내공검출에 적합한 전처리기법 -)

  • 손재룡;최규홍;이강진;최동수;김기영
    • Journal of Biosystems Engineering
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    • v.27 no.4
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    • pp.341-348
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    • 2002
  • Quality evaluation of red ginsengs is determined by outer shape and inner qualities. Especially, the inner qualities are main grading criteria. Currently, red ginsengs are classified into 3-grades; heaven, earth and good. The best heaven grade must not include inner holes and sponge tissues. This study was conducted to develop a red ginseng sorting system using x-ray image processing technique. Because of lens characteristic, gray values of the central region in the x-ray image are higher and gradually decreased towards the edge regions. This difference of gray values gives trouble in segmentation and detection of inner holes in red ginseng image, so preprocessing technique is necessary. The preprocessing was done by subtracting source image from an empty background image. But, simple subtraction was not quite appropriate because of too small contrast between inner holes and sound part. Scaled subtraction images were obtained by multiplying all gray values by some numbers. However this method could not help to set threshold value because the gray values of root part are generally lower than body part when red ginseng is exposed to the x-ray. To determine threshold value for detecting inner holes, an algorithm was developed by increasing overall gray values of less clear images.

X-ray Image Processing for the Korea Red Ginseng Inner Hole Detection (II) - Results of inner hole detection - (홍삼 내공검출을 위한 X-선 영상처리기술 (II) - 내공검출결과 -)

  • 손재룡;최규홍;이강진;최동수;김기영
    • Journal of Biosystems Engineering
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    • v.28 no.1
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    • pp.45-52
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    • 2003
  • Red ginsengs are inspected manually by examining those in the dark room with back light illumination. Manual inspection is often influenced by physical condition of inspectors. Sometimes. the best grade, heaven. has some inner holes though it was inspected by a specialist. In order to resolve this problem, this study was performed to develop image processing algorithm to detect the inner holes in the x-ray image of ginseng. Because of little gray value difference between background and ginseng in the image. simple thresholding method was not appropriate. Modified watershed algorithm was used to differentiate the inner holes from background and normal ginseng body. Inner hole edge region detected by watershed algorithm consists of many number of blobs including normal portions. With line profile analysis with scanning one line at a time beginning the starting point. it shelved two peaks both ends representing extracting each blobs. in which setting threshold value as of lower peak value enabled us to obtain inner hole image. Once this procedure has to be done till the finishing point it is completing inner hole detection for one blob. Thus. conducting ail blobs by this procedure is completing inner detection of one whole ginseng. Detection results of the inner holes fer various size of red ginsengs were good even though there was small detection variation. 6.2%. according to position of x-rat tube.

Effect of Image Preference and Types of Beauty Trainers on Their Satisfaction with a Major and Stress from a Major (미용분야 여성 교육자의 이미지 선호도 및 유형이 전공만족도와 스트레스에 미치는 영향)

  • Hong, Soo-Nam
    • Journal of the Korea Fashion and Costume Design Association
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    • v.16 no.3
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    • pp.101-115
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    • 2014
  • This study evaluated the effect of image type of the beauty trainer on satisfaction and stress regarding the major. The data were analyzed by spss 18.0. Frequency analysis, causal analysis, reliability analysis, T-test, one-way variance analysis, and multiple regression analysis were carried out, and the result is as following. First, as the result of analysis the image of beauty trainer, we defined inner, outer, and social image. Second, the difference between images of beauty trainers revealed that people with high interest in the major ranked the inner image of beauty trainer the highest. Respondent with the lowest and the higher class satisfaction also deemed inner image important. The same was for respondents with beauty awareness. For outer image, people with the lowest class satisfaction ranked outer image the highest. And people with beauty awareness recognized beauty trainer's outer image more important. Respondents who said the major have bleak future deemed outer image even important. While the social image was recognized the highest by respondents with lowest class satisfaction. Third, as we analyzed the correlation between the image type of beauty trainer and major stress/satisfaction, the higher the satisfaction for the trainer's outer and social image gave higher class satisfaction. And less stress about the major resulted in higher major satisfaction. Fourth, we evaluated the effect of trainer's image on the class satisfaction and stress. Fifth, the lower the awareness of inner image and the higher awareness of social image resulted in higher major stress. Lower inner image gave high major satisfaction, while high social image resulted in high major stress.

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A Study of Men's Attitudes toward of their Image Chase (20대 남성이 이미지추구에 관한 연구)

  • Mun, Ji-Young;Kim, Jung-Won
    • Fashion & Textile Research Journal
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    • v.6 no.6
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    • pp.715-722
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    • 2004
  • The social culture critics say that the current situation of the boom in pretty men happened because stereotyped notions of sex roles have changed. However, no scientific study has been done as yet to support this theory. Therefore, this study analyzed the present situation and examined it from many different points of view. I asked 600 men to fill out the questionnaire: 300 from Daegu and the other 300 from Seoul. I analyzed four 461 of them. The inner/outer image of Korean males in their 20s was analyzed into seven factors, a positive image, a progressive image, an affirmative image, a sensible image, an exemplary image, a conscious image, and an active image. The demographic result based on the inner/outer image factors showed a significant difference in ages for a sensible image, a conscious image, and an active image.

The Automatic Detection of Inner Boundary on EBCT Images for Airway (기도에 대한 EBCT 영상에서의 내벽 윤곽선 자동검출)

  • 김명남;조진호
    • Journal of Korea Multimedia Society
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    • v.6 no.6
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    • pp.991-999
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    • 2003
  • In this paper, we proposed image acquisition techniques that can reflect anatomical airway information lot breath change by EBCT Also, we proposed new method to detect automatically boundary of inner airway for acquired slice images using this image acquisition technology. We confirmed that new method detects boundary of inner airway effectively through computer simulation that apply image data about each slice position of airway. And, we could see change for cross section area of inner airway by time change. Therefore, we think that proposed method can utilize on quantitative analysis in clinical field.

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The Enhancement of Inner-solid Image by the Bandwidth Increment of Vertically Spatial Frequency (축 방향 공간주파수 대역의 확장을 통한 고체 내부영상 개선)

  • Koo, Kil-Mo;Kim, Sang-Baik;Kim, Hyun;Jun, Kye-Suk
    • Proceedings of the KSME Conference
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    • 2001.06b
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    • pp.176-180
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    • 2001
  • In this paper, we have studies the images have been reconstructed by using combination of images which has been acquired by the variation of operating frequency. When inner images has been reconstructed, inner image has been superposition by surface state effect. In this case, image enhancement the phase object and enhance the contrast of inner image. In the result of the specimen for the round defect with 2mm diameter, for the types of the depth are 1.5mm, 2mm, 2.5mm, and 3mm, it has been show that the shape of defect has better than before this processing and phase contrast grow large twice. And we have constructed the acoustic microscope by using quadrature detector that is able simultaneously to acquired the amplitude and phase of the reflected signal. Father more we have studied the reconstruction method of the amplitude and phase images and the enhancement method of the defect images' contrast.

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A Basic Study on the Fire Flame Extraction of Non-Residential Facilities Based on Core Object Extraction (핵심 객체 추출에 기반한 비주거 시설의 화재불꽃 추출에 관한 기초 연구)

  • Park, Changmin
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.13 no.4
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    • pp.71-79
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    • 2017
  • Recently, Fire watching and dangerous substances monitoring system has been being developed to enhance various fire related security. It is generally assumed that fire flame extraction plays a very important role on this monitoring system. In this study, we propose the fire flame extraction method of Non-Residential Facilities based on core object extraction in image. A core object is defined as a comparatively large object at center of the image. First of all, an input image and its decreased resolution image are segmented. Segmented regions are classified as the outer or the inner region. The outer region is adjacent to boundaries of the image and the rest is not. Then core object regions and core background regions are selected from the inner region and the outer region, respectively. Core object regions are the representative regions for the object and are selected by using the information about the region size and location. Each inner region is classified into foreground or background region by comparing its values of a color histogram intersection of the inner region against the core object region and the core background region. Finally, the extracted core object region is determined as fire flame object in the image. Through experiments, we find that to provide a basic measures can respond effectively and quickly to fire in non-residential facilities.

Parallelization of Cell Contour Line Extraction Algorithm (세포 외곽선 추출 알고리즘의 병렬화)

  • Lee, Ho Seok;Yu, Suk Hyun;Kwon, Hee Yong
    • Journal of Korea Multimedia Society
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    • v.18 no.10
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    • pp.1180-1188
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    • 2015
  • In this paper, a parallel cell contour line extraction algorithm using CUDA, which has no inner contour lines, is proposed. The contour of a cell is very important in a cell image analysis. It could be obtained by a conventional serial contour tracing algorithm or parallel morphology operation. However, the cell image has various damages in acquisition or dyeing process. They could be turn into several inner contours, which make a cell image analysis difficult. The proposed algorithm introduces a min-max coordinates table into each CUDA thread block, and removes the inner contour in parallel. It is 4.1 to 7.6 times faster than a conventional serial contour tracing algorithm.

Automatic Recognition System of Slab Inner Crack Center Segregation using Sulfur Print (Sulfur Print를 이용한 슬라브 내부 크랙 및 중심편석 자동 인식 시스템)

  • Kim, Sung-Yong;Lim, Mung-Ran;Ahn, Ihn-Seok
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.9
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    • pp.922-928
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    • 2009
  • This thesis puts forward a suggestion of measuring inner crack and center segregation in steel processing by using scanner and image processing with sulfur printer. To sum up, there are three points in this system. First, it scans sulfur printer and process the image by using histogram, image processing, and the mask. Second, it measures crack and center segregation by the fictitious image and output the length, thickness, exponent and grade on the mornitor. And finally, it gathers the measurement result image and data at the server and this information is used as data for the next casting.