• Title/Summary/Keyword: 객체 분할

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Partition-based Operator Sharing Scheme for Spatio-temporal Data Stream Processing (시공간 데이터 스트림 처리를 위한 영역 기반의 연산자 공유 기법)

  • Chung, Weon-Il;Kim, Young-Ki
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.12
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    • pp.5042-5048
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    • 2010
  • In ubiquitous environments, many continuous query processing techniques make use of operator network and sharing methods on continuous data stream generated from various sensors. Since similar continuous queries with the location information intensively occur in specific regions, we suggest a new operator sharing method based on grid partition for the spatial continuous query processing for location-based applications. Due to the proposed method shares moving objects by the given grid cell without sharing spatial operators individually, our approach can not only share spatial operators including similar conditions, but also increase the query processing performance and the utilization of memory by reducing the frequency of use of spatial operators.

Segmentation of Immunohistochemical Breast Carcinoma Images Using ML Classification (ML분류를 사용한 유방암 항체 조직 영상분할)

  • 최흥국
    • Journal of Korea Multimedia Society
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    • v.4 no.2
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    • pp.108-115
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    • 2001
  • In this paper we are attempted to quantitative classification of the three object color regions on a RGB image using of an improved ML(Maximum Likelihood) classification method. A RGB color image consists of three bands i.e., red, green and blue. Therefore it has a 3 dimensional structure in view of the spectral and spatial elements. The 3D structural yokels were projected in RGB cube wherefrom the ML method applied. Between the conventionally and easily usable Box classification and the statistical ML classification based on Bayesian decision theory, we compared and reviewed. Using the ML method we obtained a good segmentation result to classify positive cell nucleus, negative cell Nucleus and background un a immuno-histological breast carcinoma image. Hopefully it is available to diagnosis and prognosis for cancer patients.

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Hunan Interaction Recognition with a Network of Dynamic Probabilistic Models (동적 확률 모델 네트워크 기반 휴먼 상호 행동 인식)

  • Suk, Heung-Il;Lee, Seong-Whan
    • Journal of KIISE:Software and Applications
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    • v.36 no.11
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    • pp.955-959
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    • 2009
  • In this paper, we propose a novel method for analyzing human interactions based on the walking trajectories of human subjects. Our principal assumption is that an interaction episode is composed of meaningful smaller unit interactions, which we call 'sub-interactions.' The whole interactions are represented by an ordered concatenation or a network of sub-interaction models. From the experiments, we could confirm the effectiveness and robustness of the proposed method by analyzing the inner workings of an interaction network and comparing the performance with other previous approaches.

Hierarchical Disparity Estimation for Image Synthesis in Stereo Mixed Reality (스테레오 혼합 현실 영상 합성을 위한 계층적 변이 추정)

  • 김한성;최승철;손광훈
    • Journal of Broadcast Engineering
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    • v.7 no.3
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    • pp.229-237
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    • 2002
  • Natural synthesis of real and virtual images is a key technology in mixed reality. For this purpose, we propose an efficient dense disparity estimation algorithm and a synthesis algorithm considering features of stereo images. Dense disparities are estimated hierarchically from the low to high resolution images. In the process, the region-dividing-bidirectional-matching algorithm makes matching process efficient and keeps the reliability of the estimated disparities, and dense disparities are assigned considering edge information. finally, mixed reality stereo images are synthesized by comparing depth data of real and virtual Images. Computer simulation shows that the proposed algorithms estimate very stable disparity vectors with sharp edge and synthesize natural stereo mixed reality images.

Development of the General Inspection-Machine for the Vehicle Forming Assembly (자동차 성형 조립품을 위한 범용 검사기 개발)

  • Kim, Dong-Hwan;Yun, Jae-Sik;Kim, Jin-Wook;Kim, Seok-Tae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.05a
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    • pp.813-815
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    • 2011
  • This study inspects the fault of the vehicle forming assembly and the assembly state of components at high speed and high degree of precision. This study also proposes the general inspection system capable of adapting to a number of products. The inspection program is composed of the fault inspection algorithm to examine the surface of the object and the state of the assembly and the high speed procession algorithm for the real time examination. The fault inspection algorithm is processed largely by a method using average of pixel in ROI and a method dividing the area and checking the presence of the object. Lastly, we verified the efficiency of the sysytem through the evaluation of its accuracy and processing time.

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Triploidy Induction in Olive Flounder, Paralichthys olivaceus (3배체 넙치 (Paralichthys olivaceus)의 유도에 관한 연구)

  • KIM Dong Soo;JEONG Chag Hwa;LEE Young-Don;RHO Sum
    • Journal of Aquaculture
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    • v.7 no.1
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    • pp.55-61
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    • 1994
  • Triploid fish were induced successfully in olive flounder (Paralichthys olivaceus) by cold shocking fertilized eggs 3 minutes post fertilization at $2^{\circ}C$ for 45 minutes. Percent incidence of triploid was $92.6\%$ in this treatment. Floating rate and fertilization rate of eggs were not significanlty different from that of diploid controls (P> 0.05). However, hatchability and abnormal larvae of triploids were significantly different from that of diploid controls (P< 0.05). Incidence of triploidy was confirmed by erythrocyte measurements and chromosome counts. The surface area of triploid erythrocytes and nucleus was 1.6 times larger than that of diploids. Diploids had 48 acrocentric chromosomes, while triploids had 72.

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Collision detection algorithm by using mesh grouping (메쉬 그룹화를 이용한 충돌 검출 알고리즘)

  • Park, Jong-Seop;Jang, Tae-Jeong
    • Journal of Digital Contents Society
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    • v.19 no.1
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    • pp.199-204
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    • 2018
  • In this paper, we propose a fast collision detection method for interacting with objects in virtual space. First, in the mesh grouping step, the entire space is divided into small spaces of a predetermined size, and the positions and sizes of the smallest basic stereoscopic shapes (cube or sphere) including all of the meshes belonging to each small space are determined. In the collision detection step, it is checked whether a haptic interface point (HIP) is included in a three-dimensional figure representing a group. When a collision with a specific three-dimensional figure is confirmed, searching is performed only for the meshes in the group to find a mesh on which a possible real collision with HIP occurred. The effectiveness of the proposed algorithm is verified by measuring and comparing the computation time of the proposed method with and without the proposed method.

Parametric Vessel Modeling for Simulation of Coronary Artery Bypass Graft (관상동맥우회시술 시뮬레이션을 위한 동적 혈관 매개변수모델링)

  • Song SooMin;Lee Yubu;Choi YooJoo;Kim MyoungHee
    • Proceedings of the Korea Society for Simulation Conference
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    • 2005.11a
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    • pp.130-137
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    • 2005
  • 본 논문은 심장이 수축$\cdot$이완함에 따라 그 형태와 위치가 변하는 관상동맥의 구조와 그 움직임을 사실적으로 표현하기 위한 매개변수적 모델링 기법을 제안한다. 완성된 모델은 관상동맥의 움직임을 관찰함으로써 심장질환 판단에 도움을 주고, 심장시술 시뮬레이션 및 시술계획수립에 사용될 수 있다. 매개변수적 기법으로 생성된 모델은 메쉬 정점의 인덱스만으로 모델간 매칭을 위한 대응점을 찾을 수 있으므로, 시간대별로 달라지는 정점의 위치를 쉽게 추적함으로써 모델의 움직임을 표현할 수 있다. 그러나 이러한 기법으로 생성된 모델은 분리, 접합 등의 변형조작이 어렵고, 트리형태 객체에 적용하기 힘든 단점이 있다. 본 논문에서는 이를 극복하기 위해 분할된 혈관영역의 골격데이타에서 찾아낸 분기점을 중심으로 Generalized Cylinder를 이용하여 실린더 형태의 각 혈관세그먼트를 모델링 한 후, 분기영역을 3개의 하프파이프(half pipe)와 2개의 삼각형 패치로 연결하여 모델링하였다. 완성된 모델은 다시점 관상동맥데이터에 적용하였고, 각 시점에서 구해진 정점의 위치를 선형보간함으로써 부드러운 혈관의 움직임을 나타내었다.

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Design of Real-Time Operating System for Sensor Network based on $\mu$TMO Model ($\mu$TMO 모델 기반의 실시간 센서 네트워크 운영체제의 설계)

  • Lee, Jae-An;Choi, B.K.;Heu, Shin
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10a
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    • pp.167-171
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    • 2006
  • 무선 센서 네트워크는 유비쿼터스 컴퓨팅에서 생활 환경과 컴퓨터 사이의 중계자 역할을 하는 매우 중요한 연구 분야이다. 매우 제약적인 자원 환경에서 동작하여야 하는 센서 노드의 동작 환경적 특성 때문에 제한된 자원을 효율적으로 관리할 수 있는 센서 노드용 운영체제가 요구된다. 센서 노드는 제약적인 자원을 가지고 있지만 데이터 수집, 데이터 프로세싱, 다른 노드로부터 수신된 데이터의 전달 등 여러 가지 작업들이 동시에 발생된다. 기존의 범용 센서네트워크 운영체제에서는 극도로 제한된 자원을 최대한 효율적으로 사용할 수 있는 방법에 대하여 주로 연구해 왔다. 무선 센서 네트워크의 응용 범위가 점차 넓어지고 있다. 방사능 감지와 같이 실시간성을 요구하는 응용분야들이 생겨나기 시작하면서 센서 네트워크에서도 실시간성의 필요성이 대두되게 되었다. 실시간 센서 네트워크 연구 분야에서 실시간 통신 프로토콜의 연구 결과가 발표되고 있지만, 실시간 운영체제의 지원없이 완전한 실시간성을 보장하기 힘들다. 하지만 센서 노드용 실시간 운영체제에 대한 연구는 아직까지 활발히 진행되지 않고 있다. 본 논문에서는 정시성을 보장하는 분산 객체 모델인 TMO를 센서네트워크의 제한된 자원 환경에 알맞도록 경량화 시킨 $\mu$TMO 모델을 제시하고, 센서 노드용 운영체제에 $\mu$TMO 모델 을 적용하여 실시간성 지원에 따른 오버헤드를 감소시킨 실시간 센서 네트워크 운영체제의 구조를 제안한다.

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Traffic Light and Speed Sign Recognition by using Hierarchical Application of Color Segmentation and Object Feature Information (색상분할 및 객체 특징정보의 계층적 적용에 의한 신호등 및 속도 표지판 인식)

  • Lee, Kang-Ho;Bang, Min-Young;Lee, Kyu-Won
    • The KIPS Transactions:PartB
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    • v.17B no.3
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    • pp.207-214
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    • 2010
  • A method of the region extraction and recognition of a traffic light and speed sign board in the real road environment is proposed. Traffic light was recognized by using brightness and color information based on HSI color model. Speed sign board was extracted by measuring red intensity from the HSI color information We improve the recognition rate by performing an incline compensation of the speed sign for directions clockwise and counterclockwise. The proposed algorithm shows a robust recognition rate in the image sequence which includes traffic light and speed sign board.