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- 저자 : 허은석(Hur, Eun-Seok) (검색결과 3 건)
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선택행위를 통한 자아확립의 매개로서 현대주거에 관한 연구 - ’온라인집들이’의 서사구조 분석을 중심으로 -
허은석(Hur, Eun-Seok),조항만(Zo, Hangman) 대한건축학회 2019 대한건축학회논문집 Vol.35 No.5
In this study, we analyzed the process of the housing reflecting the self, based on the qualitative data that people describe their thoughts about their housing in social media "online-housewarming". Especially, based on the precedent study that modern self is established on continuous selection behavior, we focused on the selection behavior of the self and the role of the housing that affected it through the narrative. Each narrative component corresponds to the self-establishment process of modern people, identified through precedent study. We can confirm the existing internal criteria changing into new internal criteria through accumulation, interaction and nonverbal communication of selection by housing. Housing has been involved in the selection behavior of self throughout the narrative. From this, it can be seen that the thought of the self and housing are identified in three ways. In "Online-Housewarming", (1) Housing equates with the self, in the sense that housing is a physical entity in which one"s own choices are accumulated (2) People perceive the change of choice caused by the realistic constraints of housing as their interaction with housing. (3) People relate the opinions of others about housing with the opinions about their own self. In contemporary society, house reforming process is a process of mediating the self and the external world based on the selection behavior and affects the establishment of self.
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진단 초음파 영상 처리를 위한 적응 Pseudomedian 필터
어진우,허은석,Eo, Jin-Woo,Hur, Eun-Seok 한국전기전자학회 2003 전기전자학회논문지 Vol.7 No.2
본 논문에서는 진단 초음파 영상에서의 스펙클 잡음의 영향을 줄여 대상물체를 효율적으로 분리하는 방법을 제안하였다. 스페클 잡음을 제거하기 위하여 전처리 과정에서 gray scale opening 연산을 실행 후 윈도우내에서 임의의 픽셀에서의 분산을 계산하여 균일 영역과 경계 영역을 구분하고, 구분된 각 영역에 대해 윈도우 크기가 다른 pseudomedian 필터를 사용하였다. (본 논문에서 적응 pseudomedian 필터라 부름.) 영역 구분 없이 같은 크기의 윈도우를 사용한 경우보다 필터링 시간이 단축되며, 스페클 잡음을 충분히 제거할 수 있었다. 필터의 성능을 평가하기 위하여, 제안한 필터를 기존의 영상처리 필터의 결과에 대한 PSNR과 비교하여 우수하다는 것을 입증하였다. This paper presents an effective method to segment objects from the ultrasound medical image which is inherently corrupted by speckle noise. In order to reduce the speckle noise morphological opening was used as preprocessing. For the preprocessed image, sample variance of neighborhood pixels is to be computed to classify where the pixel is located on the edge region or homogeneous region. Then pseudomedian filtering with different window size is taken according to the region classified, named adaptive pseudomedian filter. Various experimental results were presented to prove superiority of the proposed filter.
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