• 한국정보과학회논문지:소프트웨어및응용
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• 제29권9호
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• pp.631-644
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• 2002

In this paper efficient algorithms for content-based video retrieval using motion information are proposed, including temporal scale-invariant retrieval and temporal scale-absolute retrieval. In temporal scale-invariant video retrieval, the distance transformation is performed on each trail image in database. Then, from a given que교 trail the pixel values along the query trail are added in each distance image to compute the average distance between the trails of query image and database image, since the intensity of each pixel in distance image represents the distance from that pixel to the nearest edge pixel. For temporal scale-absolute retrieval, a new coding scheme referred to as Motion Retrieval Code is proposed. This code is designed to represent object motions in the human visual sense so that the retrieval performance can be improved. The proposed coding scheme can also achieve a fast matching, since the similarity between two motion vectors can be computed by simple bit operations. The efficiencies of the proposed methods are shown by experimental results.

• Journal of Information Processing Systems
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• 제15권4호
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• pp.737-747
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• 2019

Shape description is an important and fundamental issue in content-based image retrieval (CBIR), and a number of shape description methods have been reported in the literature. For shape description, both global information and local contour variations play important roles. In this paper a new included-angular ternary pattern (IATP) based shape descriptor is proposed for shape image retrieval. For each point on the shape contour, IATP is derived from its neighbor points, and IATP has good properties for shape description. IATP is intrinsically invariant to rotation, translation and scaling. To enhance the description capability, multiscale IATP histogram is presented to describe both local and global information of shape. Then multiscale IATP histogram is combined with included-angular histogram for efficient shape retrieval. In the matching stage, cosine distance is used to measure shape features' similarity. Image retrieval experiments are conducted on the standard MPEG-7 shape database and Swedish leaf database. And the shape image retrieval performance of the proposed method is compared with other shape descriptors using the standard evaluation method. The experimental results of shape retrieval indicate that the proposed method reaches higher precision at the same recall value compared with other description method.

• 한국가시화정보학회지
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• 제21권2호
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• pp.83-90
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• 2023

The shape of an airfoil is a critical factor in determining aerodynamic characteristics such as lift and drag. Aerodynamic properties of an airfoil have a decisive impact on the performance of various engineering applications, including airplane wings and wind turbine blades. Therefore, it is essential to analyze the aerodynamic characteristics of airfoils. Various analytical tools such as experiments, computational fluid dynamics, and Xfoil are used to perform these analyses, but each tool has its limitation. In this study, airfoil parameterization, image recognition, and artificial intelligence are combined to overcome these limitations. Image and coordinate data are collected from the UIUC airfoil database. Airfoil parameterization is performed by recognizing images from image data to build a database for deep learning. Trained model can predict the aerodynamic characteristics not only of airfoil images but also of sketches. The mean absolute error of untrained data is 0.0091.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.298-301
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• 2004

The aim of this study is to cross-validate of spatial probability model, artificial neural network at Boun, Korea, using a Geographic Information System (GIS). Landslide locations were identified in the Boun, Janghung and Youngin areas from interpretation of aerial photographs, field surveys, and maps of the topography, soil type, forest cover and land use were constructed to spatial data-sets. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography, were calculated from the topographic database. Topographic type, texture, material, drainage and effective soil thickness were extracted from the soil database, and type, diameter, age and density of forest were extracted from the forest database. Lithology was extracted from the geological database, and land use was classified from the Landsat TM image satellite image. Landslide susceptibility was analyzed using the landslide­occurrence factors by artificial neural network model. For the validation and cross-validation, the result of the analysis was applied to each study areas. The validation and cross-validate results showed satisfactory agreement between the susceptibility map and the existing data on landslide locations.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2003년도 공동 춘계학술대회 논문집
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• pp.64-64
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• 2003

The aim of this study is to apply and verify of logistic regression at Janghung, Korea, using a Geographic Information System (GIS). Landslide locations were identified in the study area from interpretation of IRS satellite images, field surveys, and maps of the topography, soil type, forest cover, geology and land use were constructed to spatial database. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography were calculated from the topographic database.13${\times}$1ure, material, drainage and effective soil thickness were extracted from the soil database, and type, diameter and density of forest were extracted from the forest database. Land use was classified from the Landsat TM image satellite image. As each factor's ratings, the logistic regression coefficient were overlaid for landslide susceptibility mapping. Then the landslide susceptibility map was verified and compared using the existing landslide location. The results can be used to reduce hazards associated with landslides management and to plan land use and construction.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2003년도 공동 춘계학술대회 논문집
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• pp.65-70
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• 2003

The weight-of-evidence model one of the Bayesian probability model was applied to the task of evaluating landslide susceptibility using GIS. Using the location of the landslides and spatial database such as topography, soil, forest, geology, land use and lineament, the weight-of-evidence model was applied to calculate each factor's rating at Boun area in Korea where suffered substantial landslide damage fellowing heavy rain in 1998, The factors are slope, aspect and curvature from the topographic database, soil texture, soil material, soil drainage, soil effective thickness, and topographic type from the soil database, forest type, timber diameter, timber age and forest density from the forest map, lithology from the geological database, land use from Landsat TM satellite image and lineament from IRS satellite image. Tests of conditional independence were performed for the selection of the factors, allowing the 43 combinations of factors to be analyzed. For the analysis, the contrast value, W$\^$＋/and W$\^$-/, as each factor's rating, were overlaid to map laudslide susceptibility. The results of the analysis were validated using the observed landslide locations, and among the combinations, the combination of slope, curvature, topographic, timber diameter, geology and lineament show the best results. The results can be used for hazard prevention and planning land use and construction

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2003년도 공동 춘계학술대회 논문집
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• pp.63-63
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• 2003

The aim of this study is to apply and verify of Bayesian probability model, the likelihood ratio and statistical model, at Janghung, Korea, using a Geographic Information System (GIS). Landslide locations were identified in the study area from interpretation of IRS satellite images, field surveys, and maps of the topography, soil type, forest cover, geology and land use were constructed to spatial database. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography were calculated from the topographic database. Texture, material, drainage and effective soil thickness were extracted from the soil database, and type, diameter and density of forest were extracted from the forest database. Land use was classified from the Landsat TM image satellite image. As each factor's ratings, the likelihood ratio coefficient were overlaid for landslide susceptibility mapping, Then the landslide susceptibility map was verified and compared using the existing landslide location. The results can be used to reduce hazards associated with landslides management and to plan land use and construction.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 1999년도 추계종합학술대회
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• pp.450-453
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• 1999

본 논문에서는 사용자와 시스템의 DB, 이미지데이터 및 언어적인 지식표현을 통해 구축된 지식기반 데이터베이스(KDB)와의 인터페이스 역할을 위한 협조적인 검색시스템을 구축하였다. 기존의 데이터베이스 검색시스템은 사용자의 요구에 정확히 일치하는 데이터가 시스템 내에 존재할 경우에만 해당 데이터를 제공하지만 그렇지 않은 경우에는 아무런 데이터도 제공할 수 없다. 이러한 문제점을 해결하기 위해 사용자의 요구에 일치하는 데이터가 데이터베이스 내에 존재할 때 인터페이스를 통해 해당 데이터를 제공하고, 만일 사용자의 요구에 일치하는 데이터가 존재하지 않을 경우에는 퍼지 클러스터링과 언어 레이블의 할당을 통한 지식기반 데이터베이스를 구축하여 사용사의 요구에 가장 근접한 데이터 및 이미지정보를 제시하도록 하였다.

• 디자인학연구
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• 제14권4호
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• pp.5-14
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• 2001

[감성지향 제품] 디자인에 있어서는 디자이너가 제품을 통해 표현하려는 이미지와 사용자가 제품을 통해 느끼는 감성적 평가와의 사이에 존재하는 갭(gap)이 문제가 되고 있는데, 이 갭을 해소하는 데에 있어 디자인 과정에서 활용되어진 이미지화상들과 디자인 평가를 위해 사용되었던 감성적 평가어 사이와의 관련도에 관한 정보는 특히 유효하다. 본 연구에서는 이러한 관련도 정보에 근거하여, 이미지 화상 및 이미지어 탐색을 통해 스타일링 디자인을 지원하는 감성검색시스템을 제안한다. 본 시스템에 있어서 관련도 정보는 이미지어와의 유사도를 유의어 계수로 상정한 퍼지 시소러스에 의해 표현된다. 또한 이미지어 사이의 유사도는 이미지 화상 평가를 기초로 산출된다. 이미지 탐색은 검색 중시도(weight)를 파라메터로한 퍼지 시소러스 전개의 알고리즘에 의해 실행되며, 탐색 모드로서 이미지어 상호간, 이미지어에서 이미지화상, 이미지 화상에서 이미지어, 이미지 화상간의 합계 네 종류의 모드가 제공 된다. 또한 이들 모드간의 이행은 직접 조작형 인터페이스에 의해 실행되며, 이로 인해 아이디어 탐색단계에 있어서의 디자이너의 발상과정이 원활하게 지원된다. 시스템은 감성적 평가의 계측 유니트와 갭의 연산, 가시화 유니트로부터 구성되며, 조작의 일관성을 유지하기 위해 통일적인 인터페이스의 환경 하에서 구축하였다.

• 대한의용생체공학회:의공학회지
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• 제25권1호
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• pp.77-82
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• 2004

다양한 한국인의 표준 뇌를 완성하기 위해 영상 획득의 기준을 마련하고, 획득된 한국인의 뇌 영상 데이터들과 피검자들의 개인 정보들을 저장하고 관리하는 데이터베이스 관리 시스템의 개발이 본 연구의 목적이다. 해부학적 영상 획득을 위해 SNR과 CNR이 우수하고 영상획득시간도 줄일 수 있는 3D MP-RAGE 기법을 선택하였고, 최적의 영상 획득을 손잡이 검사, 상태-특성 불안척도 검사, A 유형 성격 검사, 자기평가 우울척도 검사, 사상체질 검사 간이정신 진단검사, 지능진단 검사, 성격요인 검사를 질문지로 수행한 후 그 결과를 저장하고 관리 할 수 있도록 하였다. 또한 본 시스템은 피검자의 영상 정보 및 개인 정보의 저장, 삽입, 삭제, 검색, 출력 기능뿐만 아니라 Access 권한 기능, ODBC와의 연결 설정도 자동으로 수행되도록 개발하였다. 개발된 시스템은 다양한 한국인의 영상 정보와 개인 정보를 저장, 관리 할 수 있기 때문에 다양한 한국인의 표준뇌를 완성하는데 큰 기여를 할 수 있을 것이다.