• Title/Summary/Keyword: Edge Indication Function

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Lung Detection by Using Geodesic Active Contour Model Based on Characteristics of Lung Parenchyma Region (폐실질 영역 특성에 기반한 지오데식 동적 윤곽선 모델을 이용한 폐영역 검출)

  • Won Chulho;Lee Seung-Ik;Lee Jung-Hyun;Seo Young-Soo;Kim Myung-Nam;Cho Jin-Ho
    • Journal of Korea Multimedia Society
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    • v.8 no.5
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    • pp.641-650
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    • 2005
  • In this parer, curve stopping function based on the CT number of lung parenchyma from CT lung images is proposed to detect lung region in replacement of conventional edge indication function in geodesic active contour model. We showed that the proposed method was able to detect lung region more effectively than conventional method by applying three kinds of measurement numerically. And, we verified the effectiveness of proposed method visually by observing the detection Procedure on actual CT images. Because lung parenchyma region could be precisely detected from actual EBCT (electron beam computer tomography) lung images, we were sure that the Proposed method could aid to early diagnosis of lung disease and local abnormality of function.

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An Improved Level Set Method to Image Segmentation Based on Saliency

  • Wang, Yan;Xu, Xianfa
    • Journal of Information Processing Systems
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    • v.15 no.1
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    • pp.7-21
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    • 2019
  • In order to improve the edge segmentation effect of the level set image segmentation and avoid the influence of the initial contour on the level set method, a saliency level set image segmentation model based on local Renyi entropy is proposed. Firstly, the saliency map of the original image is extracted by using saliency detection algorithm. And the outline of the saliency map can be used to initialize the level set. Secondly, the local energy and edge energy of the image are obtained by using local Renyi entropy and Canny operator respectively. At the same time, new adaptive weight coefficient and boundary indication function are constructed. Finally, the local binary fitting energy model (LBF) as an external energy term is introduced. In this paper, the contrast experiments are implemented in different image database. The robustness of the proposed model for segmentation of images with intensity inhomogeneity and complicated edges is verified.

Segmentation of Brain Ventricle Using Geodesic Active Contour Model Based on Region Mean (영역평균 기반의 지오데식 동적 윤곽선 모델에 의한 뇌실 분할)

  • Won Chul-Ho;Kim Dong-Hun;Lee Jung-Hyun;Woo Sang-Hyo;Cho Jin-Ho
    • Journal of Korea Multimedia Society
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    • v.9 no.9
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    • pp.1150-1159
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    • 2006
  • This paper proposed a curve progress control function of the area base instead of the existing edge indication function, in order to detect the brain ventricle area by utilizing a geodesic active contour model. The proposed curve progress control function is very effective in detecting the brain ventricle area and this function is based on the average brightness of the brain ventricle area which appears brighter in MRI images. Compared numerically by using various measures, the proposed method in this paper can detect brain ventricle areas better than the existing method. By examining images of normal and diseased brain's images by brain tumor, we compared the several brain ventricle detection algorithms with proposed method visually and verified the effectiveness of the proposed method.

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A Study on the Future Dwelling Functions through Domestic Future House Pavilions - Focused on 5 cases of Future House Pavilion in the Metropolitan Area - (국내 미래주택관을 통해서 본 미래 주거기능 경향 연구 - 수도권 미래주택관 5곳을 중심으로 -)

  • Park, Jong-Hye;Shin, Kyung-Joo
    • Korean Institute of Interior Design Journal
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    • v.21 no.2
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    • pp.3-13
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    • 2012
  • With the emergence of the smart era, interest in future society and new dwelling spaces is growing. This research analyzes the planning items applied to future house pavilions in Korea to examine which functions will be more emphasized and considered importantly in the dwelling spaces. This research paper aims to identify those dwelling functions that will occupy greater importance from the users' point of view. As for the research methodology, it comprised a literature review and an analysis of case studies. The results of this research were as follows; 1) It was arranged that the dwelling functions were safety, amenity, convenience, independence, economics, society, relaxation, aesthetic appearance. 2) For future dwelling environments, environment-friendly technology for conservation of energy was important in addition to intellectual cutting edge technologies, 3) Safety was most basic among all dwelling functions, 4) Planning items related to amenity and economics were found to be most common, indicating that they were important functions in future dwelling environments, 5) With regard to convenience, planning items related to increasing efficiency of household chores through the application of ubiquitous technology were found to be most common, 6) There was no indication of planning items related to independence and society, 7) Cutting edge technology and emotional technology appear to be integrated in planning items related to relaxation and aesthetic appearance, and 8) Each future dwelling pavilion suggested that over 80% of the planning items were related to amenity, convenience, and economics. We expect that the results from our research will be useful in creating a life-centered design of future dwelling spaces that account for dwelling functions.

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