• Title/Summary/Keyword: Oriented image

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A FAST ALGORITHM FOR REGION-ORIENTED TEXTURE CODING

  • Bae, Cheol-Soo;Kim, Hyun-yul
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.7 no.4
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    • pp.205-211
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    • 2014
  • This paper addresses the framework of object-oriented image coding, describing a new algorithm, based on monodimensional Legendre polynomials, for texture approximation. Through the use of 1D orthogonal basis functions, the computational complexity which usually makes prohibitive most of 2D region-oriented approaches is significantly reduced, while only a slight increment of distortion is introduced. In the aim of preserving the bidimensional intersample correlation of the texture information as much as possible, suitable pseudo-bidimensional basis functions have been used, yielding significant improvements with respect to the straightforward 1D approach. The algorithm has been experimented for coding still images as well as motion compensated sequences, showing interesting possibilities of application for very low bitrate video coding.

A Study of Histogram of Oriented Gradients Feature Vector Based on Support Vector Machine for Medical Image Classification (의료 이미지 분류를 위한 서포트 벡터 머신 기반의 Histogram of Oriented Gradients 특징 벡터 연구)

  • Lee, SeungHwan;Yoo, JaeChern
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.01a
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    • pp.5-6
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    • 2020
  • 현대 의학에서 의료 영상은 수많은 영상처리 의료기기의 핵심이다. PACS(Picture Archiving Communication System)를 통해 관리되는 의료 영상 자료들은 요청에 따라 저장, 검색 및 전송을 수행하여 신속한 의료 서비스를 가능하게 한다. 그러나 만약에 관리자의 실수로 의료 영상 데이터가 바뀐다면 이는 사용자로 하여금 불편함과 낮은 신뢰성을 야기한다. 그리하여 본 논문에서는 서포트 벡터 머신 기반의 HOG(Histogram of Oriented Gradients) 특징 벡터를 이용하여 X-ray와 MRI(Magnetic Resonance Imaging) 사진을 분류하고 의료 영상 분류의 가능성을 제시하는 것을 목표로 한다.

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The Development of Sensibility Evaluation Tools for User-Oriented Housing Interior Space (사용자 중심의 주거 실내공간 감성평가도구 개발)

  • Park, Ji-Min
    • Korean Institute of Interior Design Journal
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    • v.23 no.5
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    • pp.112-121
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    • 2014
  • The purpose of this study is to develop the user-oriented housing interior space sensibility evaluation tools: The user-oriented housing interior space sensibility evaluation tools shall be developed through the systematic selection process of the extracted housing interior space images, which were linked with the adjectives of sensibility evaluation selected for the housing interior space preferred by the user from the specific words of the sensibility extracted to identify the characteristics of the user's sensibility which is recently being changed. In the results of analyzing the words of sensibility for the residential space preferred by the users with 48 pairs of adjectives. The user-oriented sensibility assessment tool was built by extracting 8 sensibility factors of 'cozy', 'practical' 'cheerful', 'traditional', 'unique', 'congenial', 'sensuous', and 'gorgeous' in the exploratory factor analysis. The image scale was constructed in two-dimensions of the sense of space and the type of space for the residential interior space images. The dimension of the 'sense of space' is explained by the axis of open-closed and the dimension of 'type of space, is explained by the axis of 'natural-artificial'. Such a structural model of the residential interior design attributes were divided into 8 groups. And the 42 images representing each group were selected and the user-oriented residential interior space image tool was built by adding user's selective elements.

Influence of Japanese Restaurants' LOHAS Image Factors on Customers' Menu Selection and Satisfaction (일식레스토랑의 로하스이미지요인이 메뉴선택과 고객만족에 미치는 영향)

  • Kim, Jin-Gap;Lee, Yeon-Jung
    • Culinary science and hospitality research
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    • v.18 no.4
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    • pp.166-182
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    • 2012
  • The purpose of this study is to examine the influence of LOHAS images of Japanese restaurants on customers' menu selection and satisfaction to provide useful information on proposing detailed marketing directions by deriving the importance and satisfaction factors of LOHAS images and to suggest practical and effective measures for using LOHAS images to improve menus at Japanese restaurants. The results of the study are as follows. First, as a result of examining hypothesis 1, "LOHAS images will influence essential factors," it was found that healthy ingredient, family-oriented, eco-friendly, sustainability, and energy-saving factors were influential. With greater family-oriented, sustainability, healthy ingredient, and eco-friendly factors in LOHAS image, interests in essential factors increased. Second, family-oriented, energy-saving, social-oriented, and sustainability factors in LOHAS image had a significantly positive impact on the environmental factors of menu. Third, eco-friendly, sustainability, family-oriented, energy-saving, healthy preparation, and healthy ingredient factors in LOHAS image had a significantly positive impact on customer satisfaction. Fourth, essential factors in the selection attributes of Japanese restaurant menu had a significantly positive impact on customer satisfaction. Fifth, environmental factors in Japanese restaurants had a significantly positive impact on customer satisfaction. The significance and limitation of this study are: first, Japanese restaurants would be able to build a better image with customers by providing menu items that are family-oriented, sustainable, and energy-saving. Second, it would be necessary to study how LOHAS factors influence customers' general purchase decisions and psychological factors.

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An Image Segmentation Technique For Very Low Bit Rate Video Coding

  • Jung, Seok-Yoon;Kim, Rin-Chul;Lee, Sang-Uk
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1997.06a
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    • pp.19-24
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    • 1997
  • This paper describes an image segmentation technique for the object-oriented coding at very low bit rates. By noting that, in the object-oriented coding technique, each objects are represented by 3 parameters, namely, shape, motion, and color informations, we propose a segmentation technique, in which the 3 parameters are fully exploited. To achieve this goal, starting with the color space conversion and the noise reduction, the input image is divided into many small regions by the K-menas algorithm on the O-K-S color space. Then, each regions are merged, according to the shape and motion information. In simultations, it is shown that the proposed technique segments the input image into relevant objects, according to the shape and motion as well as the colors. In addition, in order to evaluate the performance of the proposed technique, we introduce the notion of the interesting regions, and provide the results of encoding the image with emphasizing the interesting regions.

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Fast Patch-based De-blurring with Directional-oriented Kernel Estimation

  • Min, Kyeongyuk;Chong, Jongwha
    • Journal of IKEEE
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    • v.21 no.1
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    • pp.46-65
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    • 2017
  • This paper proposes a fast patch-based de-blurring algorithm including kernel estimation based on the angle between the edge and the blur direction. For de-blurring, image patches from the most informative edges in the blurry image are used to estimate a kernel with low computational cost. Moreover, the kernels of each patch are estimated based on the correlation between the edge direction and the blur direction. This makes the final kernel more reliable and creates an accurate latent image from the blurry image. The combination of directionally oriented kernel estimation and patch-based de-blurring is faster and more accurate than existing state-of-the art methods. Experimental results using various test images show that the proposed method achieves its objectives: speed and accuracy.

A study of the occupational image of dental technicians among dental technology students by the Q-methodology (Q방법론에 의한 치기공학과 학생의 치과기공사 직업이미지 인식 연구)

  • Lee, Hye-Eun;Kim, Young-Ran
    • Journal of Technologic Dentistry
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    • v.42 no.3
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    • pp.240-247
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    • 2020
  • Purpose: This study aimed to employ a Q-methodological approach that can understand the characteristics of each type according to the subjective structures of humans, to help understand type-specific characteristics and to provide a basis for creating the image of dental technicians among dental technology students based on the characteristics of each type. Methods: The Q-methodology was used for this study. 120 Q-statements were obtained from a qualitative survey of 120 students of the department of dental technology. To select the Q-sample, the Q-population was categorized by taking several repeated readings. The selected statements were reviewed and revised by experts and 33 Q-samples were finally selected. The data were then analyzed using the PQ method program. Results: Among 42 P specimens, 22 were classified into type 1, 9 types 2, and 11 types 3. "Type 1" recognizes the image of dental technicians positively and optimistically (Z=1.29) (Z=1.74), but it is named "self-development oriented" in the sense that steady self-development must be underpinned (Z=1.37). "Type 2" agreed strongly that they could work for a lifetime without age or gender discrimination (Z=2.09). This type was referred to as "professional-oriented" because the recognition of dental technicians is more focused on "professional." "Type 3" was tagged "pride-oriented," showing the strongest agreement that they can be proud of their job as healthcare workers (Z=1.08). Conclusion: Many studies on such an image should be carried out to determine the importance of occupational images and establish desirable status for dental technicians to continue developing.

Sub Oriented Histograms of Local Binary Patterns for Smoke Detection and Texture Classification

  • Yuan, Feiniu;Shi, Jinting;Xia, Xue;Yang, Yong;Fang, Yuming;Wang, Rui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.4
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    • pp.1807-1823
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    • 2016
  • Local Binary Pattern (LBP) and its variants have powerful discriminative capabilities but most of them just consider each LBP code independently. In this paper, we propose sub oriented histograms of LBP for smoke detection and image classification. We first extract LBP codes from an image, compute the gradient of LBP codes, and then calculate sub oriented histograms to capture spatial relations of LBP codes. Since an LBP code is just a label without any numerical meaning, we use Hamming distance to estimate the gradient of LBP codes instead of Euclidean distance. We propose to use two coordinates systems to compute two orientations, which are quantized into discrete bins. For each pair of the two discrete orientations, we generate a sub LBP code map from the original LBP code map, and compute sub oriented histograms for all sub LBP code maps. Finally, all the sub oriented histograms are concatenated together to form a robust feature vector, which is input into SVM for training and classifying. Experiments show that our approach not only has better performance than existing methods in smoke detection, but also has good performance in texture classification.

A Study on Appearance Management Behavior of Male Consumers(III) - Focusing on the Gender Role Identity - (남성들의 외모관리행동에 관한 연구(III) - 성역할태도를 중심으로 -)

  • Ku, Yang-Suk;Lee, Young-Ju;Choo, Tae-Gue
    • Fashion & Textile Research Journal
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    • v.13 no.2
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    • pp.226-233
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    • 2011
  • The purpose of this study was to examine the relationship of appearance management behavior, appearance management motives and body image perception according to males' gender role identities. A set of questionnaire was administered to 398 male consumers. Data were analyzed by utilizing frequency, factor analysis, ANONA, and Crosstabs. The results showed that four groups of male consumers according to the gender role identity were androgyny, unclassified, femininity, and masculinity. The androgyny oriented group showed more active and various appearance management behavior. And they were more conscious of their own body image and rated themselves high in body image perception. The masculinity oriented group were satisfied with their bodies and showed positive attitudes on their body figures and hair care. The femininity oriented group showed positive attitudes on skin care and plastic surgery for social life.

A Study on the Multi-sensory Preferences and Image Influences of Outdoor Leisure Spaces (옥외여가공간의 다중감각 선호 및 이미지 영향력 연구)

  • Yun Hee-Jeong;Im Seung-Bin
    • Journal of the Korean Institute of Landscape Architecture
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    • v.34 no.3 s.116
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    • pp.23-31
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    • 2006
  • Multi-sensory design results from sensory design paradigm and image centricism, which stimulates 5 sensation; visual, auditory, haptic, smell and taste sensation when we experience environment. This is helpful for designing outdoor space considering integrated sensation not only visual and auditory sensation as well as for improving visitor's satisfaction. Therefore, this study mainly intended to analyse the multi-sensory preference and the image influence of outdoor leisure space. For these purpose, this study selected 3 leisure spaces around Seoul city; Gwan-ak mountain(the type oriented natural resource), Insa-dong(the type oriented cultural resource) and Seoul land as theme park(the type oriented facility) and a survey was performed with a total of 204 visitors at the above spaces in winter and summer. The results of this study indicate that visual sensation was evaluated most high at 3 outdoor leisure spaces in both winter and summer. Visitors at Gwan-ak mountain and Seoul land prefer visual and haptic sensation, but visitors at Insa-dong prefer visual and haptic sensation in summer, visual and taste sensation in winter. Above all, this study led the designer to consider diverse sensation to access leisure space, especially haptic sense, which can be an effective design strategy to satisfy visitors.