• Title/Summary/Keyword: 표면적 이미지

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A Study on the Cognitive Characteristics of Analog Image and Digital Image as a Symbolic Function in the Two-Dimensional Smartphone Form (2차원 스마트폰형상에 있어서 상징적 기능으로서 아날로그이미지 및 디지털이미지의 인지특성 연구)

  • Lee, Jin Seung;Kim, Jin Sung
    • Journal of the HCI Society of Korea
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    • v.13 no.3
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    • pp.17-33
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    • 2018
  • Humans process aesthetic functions of objects such as form, size, color, and texture through vision, while at the same time observe them with a symbolic function by a new psychological interpretation based on their past experience. Therefore, it is more important to study and understand the thoughts and psychological influences of how humans perceive with their eyes than what humans simply look with them. With this research purpose in the background, this study will demonstrate in detail the cognitive characteristics of analog and digital images as a symbolic function with a "formative" point of view. Five hypotheses were established, which were proven through the following tests: smartphone, most frequently used in our daily lives, is simplified to a two-dimensional line drawing form, which is set to instances where the R(radius) is applied to the horizontal line of the two-dimensional form of smartphone, where Run-in-R(radius) is applied, and R(radius) rounding is applied to the edges of those shapes. The shapes were combined to form 12 pairs, which was used in a test to the test subjects. As a result, some human characteristics were observed; in specific, some helped prove objectively how humans perceived analog and digital images as psychologically stronger as a symbolic function. If people's thoughts and feelings gained through such study could be stored in database as one value and be provided to product designers, I believe it could be developed into design form as a basic emotional design that consumers desire.

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나노트로볼로지를 이용한 질화 텅스텐 박막의 열적 안정성 연구

  • Choe, Seong-Ho;Kim, Ju-Yeong;Lee, Gyu-Yeong;Han, Jae-Gwan;Kim, Su-In;Lee, Chang-U
    • Proceedings of the Korean Vacuum Society Conference
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    • 2010.08a
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    • pp.184-184
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    • 2010
  • 반도체 집적도의 비약적인 발전으로 각 박막 층간의 두께는 더욱 줄어들었고 이는 각 박막 층간의 확산에 대한 문제를 간과할 수 없게 하였다. 따라서 각 층간의 확산을 방지하기 위하여 두께가 수십 nm size의 확산방지막의 연구에 대한 관심도는 증가하게 되었다. 본 연구에서 분석을 위하여 사용된 Nano-indentation은 박막 표면에 다이아몬드 팁을 이용하여 압입을 실시하여 이때 시표의 반응에 의한 팁의 위치(Z-축)를 in-situ로 측정하여 인가력과 팁의 위치에 대한 연속 압입곡선을 측정하게 된다. 이를 통하여 박막의 hardness와 elastic modulus를 측정하게 되고, 연속 압입곡선 분석을 통하여 박막의 표면응력 변화를 측정한다. 이 논문에서는 반도체의 기판으로 사용되는 Si기판과 금속배선 물질인 Cu와의 확산을 효과적으로 방지하기 위한 W-C-N 확산 방지막을 제시하였고, 시료 증착을 위하여 RF-magnetron sputter를 사용하여 동일한 증착조건에서 질소(N)의 비율을 다르게 하여 박막 내 질소비율에 따른 확산방지막을 제작하였다. 이후 시료의 열적 안정성 측정을 위하여 상온, $600^{\circ}C$, $800^{\circ}C$로 각각 질소 분위기에서 30분간 열처리 과정을 실시하여 열적 손상을 인가하였다. 고온에서 확산방지막의 물리적 특성을 알아보기 위해 Nano-indentation을 이용하여 분석하였고, WET-SPM을 이용하여 표면 이미지와 거칠기를 확인하였다. 그 결과 질화물질이 내화물질에 비해 고온에서 물성변화가 적게 나타나는 것을 알 수 있었고, 균일도와 결정성 또한 질화물질에서 더 안정적이었다.

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RGB Channel Selection Technique for Efficient Image Segmentation (효율적인 이미지 분할을 위한 RGB 채널 선택 기법)

  • 김현종;박영배
    • Journal of KIISE:Software and Applications
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    • v.31 no.10
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    • pp.1332-1344
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    • 2004
  • Upon development of information super-highway and multimedia-related technoiogies in recent years, more efficient technologies to transmit, store and retrieve the multimedia data are required. Among such technologies, firstly, it is common that the semantic-based image retrieval is annotated separately in order to give certain meanings to the image data and the low-level property information that include information about color, texture, and shape Despite the fact that the semantic-based information retrieval has been made by utilizing such vocabulary dictionary as the key words that given, however it brings about a problem that has not yet freed from the limit of the existing keyword-based text information retrieval. The second problem is that it reveals a decreased retrieval performance in the content-based image retrieval system, and is difficult to separate the object from the image that has complex background, and also is difficult to extract an area due to excessive division of those regions. Further, it is difficult to separate the objects from the image that possesses multiple objects in complex scene. To solve the problems, in this paper, I established a content-based retrieval system that can be processed in 5 different steps. The most critical process of those 5 steps is that among RGB images, the one that has the largest and the smallest background are to be extracted. Particularly. I propose the method that extracts the subject as well as the background by using an Image, which has the largest background. Also, to solve the second problem, I propose the method in which multiple objects are separated using RGB channel selection techniques having optimized the excessive division of area by utilizing Watermerge's threshold value with the object separation using the method of RGB channels separation. The tests proved that the methods proposed by me were superior to the existing methods in terms of retrieval performances insomuch as to replace those methods that developed for the purpose of retrieving those complex objects that used to be difficult to retrieve up until now.

Directional Variations in Surface Roughness Determinations (측정방향에 따른 표면 거칠음 정도의 변화 양상)

  • Lee, Seok-Won
    • Journal of the Korean Geotechnical Society
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    • v.15 no.4
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    • pp.247-260
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    • 1999
  • It was found that surface roughness has a first-order effect on the interface shear strength and accordingly it should be accurately quantified if its role is to be properly understood. Most of the surface roughness parameters are based on the trisector approach (three dimensional parameter) which can provide a good measure of the surface roughness from a static perspective. However, if roughness is to be correlated with a directional sensitive parameter such as interface shear then a two dimensional parameter could be more meaningful if the roughness measurements are made parallel to the direction of shearing. In this paper, alternative roughness parameters which consider the direction of shearing are described. These directional parameters are compared with the existing roughness parameters, and the relationship between these directional and non-directional parameters are investigated. The surface roughness was quantified by using the Optical Profile Microscopy (OPM) method (Dove and Frost, 1996) based on the digital image analysis. The results showed that the various surface roughness parameters measured in this study exhibit similar trend of roughness values, so that, good relationships are obtained between these roughness parameters. As the surface roughness increases, the roughness values measured in trisector coupons are increasing higher than those measured in parallel coupons.

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A Study on the Analysis Method of Skin Condition through Visual Confirmation of Skin Surface (피부표면 육안확인을 통한 피부상태 분석법 고찰)

  • Kim, Eui-Hyang;Kim, Hyun-joo
    • Journal of Convergence for Information Technology
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    • v.11 no.5
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    • pp.267-275
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    • 2021
  • Skin condition is an important concern in beauty aspect. This study considered a rough skin condition analysis method that beauty industry workers can do through visual observation or skin condition images taken with smartphones. First, studies that combine subjective and objective evaluations were selected among degree papers and academic papers searched by keywords related to 'skin condition' in the Research Information Sharing Service(RISS). Among them, papers that derive correlations with visually verifiable factors were selected. Next, the relationship between factors that match subjective skin condition and objective skin measurement results and factors that can be visually identified on the skin surface was investigated. According to the study, the most suitable factor for matching subjective and objective evaluations was 'oil volume', which is significantly related to 'pore', 'skin texture' and 'erythema', which can be visually checked on the skin surface. It is believed that a rough skin condition analysis will be possible using this.

Identification of natural colored diamonds using UV fluorescent and X-ray Lang images (UV 형광과 X-선 Lang 표면이미지를 이용한 천연유색다이아몬드의 감별 연구)

  • Kim, Jun-Hwan;Ha, Jun-Seok;Kim, Ki-Hoon;Song, Oh-Sung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.12
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    • pp.3540-3545
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    • 2009
  • Due to recent development of high temperature high pressure(HTHP) diamond synthetic and treatment technology, we need to identify the natural diamonds fast, reliable, and economically. We proposed using new method of UV fluorescence and X-ray Lang topography imaging for distinguishing one synthetic diamond from four natural colored diamonds. We observe unique local stress field uneven image in synthetic diamond using UV fluorescence and Lang topography characterization, while uniform images in natural diamonds. Especially, X-ray Lang method offered the better identification power with better high resolution on stress field images.

GPU-based Image-space Collision Detection among Closed Objects (GPU를 이용한 이미지 공간 충돌 검사 기법)

  • Jang, Han-Young;Jeong, Taek-Sang;Han, Jung-Hyun
    • Journal of the HCI Society of Korea
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    • v.1 no.1
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    • pp.45-52
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    • 2006
  • This paper presents an image-space algorithm to real-time collision detection, which is run completely by GPU. For a single object or for multiple objects with no collision, the front and back faces appear alternately along the view direction. However, such alternation is violated when objects collide. Based on these observations, the algorithm propose the depth peeling method which renders the minimal surface of objects, not whole surface, to find colliding. The Depth peeling method utilizes the state-of-the-art functionalities of GPU such as framebuffer object, vertexbuffer object, and occlusion query. Combining these functions, multi-pass rendering and context switch can be done with low overhead. Therefore proposed approach has less rendering times and rendering overhead than previous image-space collision detection. The algorithm can handle deformable objects and complex objects, and its precision is governed by the resolution of the render-target-texture. The experimental results show the feasibility of GPU-based collision detection and its performance gain in real-time applications such as 3D games.

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3D Automatic Skeleton Extraction of Coronary Artery for Interactive Shape Analysis (관상동맥의 인터랙티브 형상 분석을 위한 3차원 골격의 자동 생성)

  • Lee, Jae-Jin;Kim, Jeong-Sik;Choi, Soo-Mi
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.541-546
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    • 2006
  • 3차원 관상동맥을 분석하기 위해서는 혈관의 분기점, 극단점, 혈관의 계층적 구조 관계를 함축적으로 표현하는 것이 매우 중요하다. 본 논문에서는3차원 CT 혈관 조영 영상으로부터 관상동맥의 3차원 골격을 자동으로 추출하는 방법을 개발하였다. 먼저, CT혈관 조영술에 의해 획득된 슬라이스 이미지로부터 3차원 조작 및 수술 시뮬레이션 등을 위하여 혈관의 3차원 표면에 대한 메쉬 모델을 생성한다. 생성된 메쉬 모델이 임의로 변형된 후에도 자동으로 골격을 쉽게 추출할 수 있도록 메쉬 모델을 복셀화하는 단계를 거친다. 이렇게 얻어진 복셀 모델로부터 표면복셀을 결정하고 표면 복셀로부터 객체 복셀까지의 유클리드 거리값를 계산하여 유클리드 거리맵(EDM)을 계산한다. 계산된 EDM 으로부터 객체 복셀이 가지게 되는 최대 내접 구를 계산하여 Discrete Medial Surface을 생성하게 되는데 이것은 골격의 후보가 된다. 골격의 후보집합 복셀에 대하여 Dijkstra 최단 경로 결정 알고리즘을 적용하여 골격을 자동으로 추출하게 된다. 이렇게 추출된 3차원 골격은 관상동맥 수술 시뮬레이션 등의 다양한 형상 분석에 유용하게 사용될 수 있다.

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Analysis on Correlation Coefficient of Surface Image Velocimeter(SIV) for improved accutacy (정확도 향상을 위한 표면영상유속계(SIV)의 상관계수 분석)

  • Kim, Yong-Seok;Yang, Sung-Kee;Yoon, Kwon-kyu;Kim, Seo-jun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.381-381
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    • 2015
  • 표면영상유속계측법(Surface Image Velocimeter; SIV)은 영상분석기법의 일종으로 하천 표면의 유동을 영상저장장치로 기록하고 연속되는 이미지상의 입자이동을 계산하여 유속을 산정하는 방법이다. 그러나 표면영상유속계를 활용한 유속분석과정에서 현장 상황에 따라 많은 오차 요인들이 있을 수 있기 때문에 계산한 유속 산정 결과를 그대로 사용하면 정확도가 낮아질 수 있다. 특히 야간 영상과 같은 영상의 화질이 떨어지는 경우에는 유속 산정 결과를 필터링해서 사용해야 한다. 이는 순간 유속장을 분석하는 과정에서 획득된 이미지에 따라 분석된 유속벡터가 평균 유속보다 과다하게 크거나 상관계수 값이 너무 작은 경우가 포함되기 때문이다. 이 연구에서는 제주도 외도천 외도정수장에서 2013년 5월 27일 집중호우에 의한 유출 발생 주 야간 유출영상자료를 획득하여 표면영상유속계(SIV)와 ADCP를 활용하여 유량을 분석하고, 동시에 고정식 전자파 표면유속계인 Kalesto 관측 유량과 비교 분석하였다. 비교과정에서 제주도는 댐방류량과 같은 유량의 참값이 없으므로 각각 관측기기의 상대적인 비교를 하여 경향성을 분석하였다. 분석결과 주간유출영상은 상관계수가 0.6~0.7범위에 해당하는 유속이 전체 59개의 유속벡터 중 6.8%로 나타났으며, 0.7~0.8범위가 13.6%, 0.8~0.9범위가 18.6%, 0.9~1.0범위가 61.0%의 퍼센트를 나타났다. 야간유출영상을 주간유출영상과 비교해보면 0.6~0.7범위에 해당하는 상관계수가 6.8% 높게 분석되었으며, 반대로 0.9~1.0범위에 해당하는 상관계수는 17% 낮게 분석되었다. 이와 같은 결과는 야간유출영상이 주간유출영상에 비해 영상의 질이 떨어짐을 나타내며 표면영상유속계를 적용하여 유량을 산정하는 과정에서 획득되는 영상에 따라 상관계수에 대한 합리적인 필터링 과정이 필요하다.

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