• Title/Summary/Keyword: image Vision

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A Stereo Matching Based on A Genetic Algorithm Using A Multi-resolution Method and AD-Census (다해상도 가법과 AD-Census를 이용한 유전 알고리즘 기반의 스테레오 정합)

  • Hong, Seok-Keun;Cho, Seok-Je
    • Journal of the Institute of Convergence Signal Processing
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    • v.13 no.1
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    • pp.12-18
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    • 2012
  • Stereo correspondence is the central problem of stereo vision. In this paper, we propose a stereo matching scheme based on a genetic algorithm using a multi-resolution method and AD-Census. The proposed approach considers the matching environment as an optimization problem and finds the disparity by using a genetic algorithm And adaptive chronosome structure using edge pixels and crossover mechanism are employed in this technique. A cost function is composes of certain constraints whice are commonly used in stereo matching. AD-Census measure is applied to reduce disparity error. To increase the efficiency of process, we apply image pyramid method to stereo matching and calculate the initial disparity map at the coarsest resolution. Then initial disparity map is propagated to the next finer resolution, interpolated and performed disparity refinement using local feature vector. We valid our method not only reduces the search time for correspondence compared with conventional GA-based method but also ensures the validity of matching.

Analysis of Carbon Emissions and Land Use Change for Low -Carbon Urban Management - Focused on Jinju (저탄소 도시관리를 위한 탄소배출과 토지이용변화 분석 -진주시를 중심으로-)

  • Eo, Jae-Hoon;Kim, Ki-Tae;Jung, Gil-Sub;Yoo, Hwan-Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.18 no.1
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    • pp.129-134
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    • 2010
  • Low-carbon Green Growth is highlighted as the main political issue from in and outof Korea. Recently Korean government announced the vision for low-carbon green growth. Considering this as a starting point the carbon emission estimation has become an important factor in the city planning. In order to realize the carbon reduction planning, this research was focused on the trend analyzes between the carbon exhaust estimation as well as the land use change for the past 40 years in Jinju. The image processing data of past aerial photography and the land suitability assessment databases were used to collect the useful information's for the land trend analysis for 40 years. As the results, the land use changes by new residential developments have led to increase the carbon emissions and population concentration rapidly. The urban management planning for low carbon and green growth should consider carbon emissions by population growth derived from land use change. Further research need to estimate the accurate carbon exhaust using relationship model with fuel consumption, carbon estimation, and land use.

Kinematic Analysis of a Legged Walking Robot Based on Four-bar Linkage and Jansen Mechanism (4절 링크 이론과 얀센 메커니즘을 기반으로 한 보행 로봇의 운동학 해석)

  • Kim, Sun-Wook;Kim, Dong-Hun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.2
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    • pp.159-164
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    • 2011
  • In this study, a crab robot is implemented in H/W based on four-bar linkage mechanism and Jansen mechanism, and its kinematics is analysed. A vision camera is attached to the mechanism, which makes the proposed robot a kind of biologically inspired robot for image acquisition. Three ultrasonic sensors are adopted for obstacle avoidance. In addition, the biologically inspired robot can achieve the mission appointed by a programmer outside, based on RF and Blue-tooth communication module. For the design and implementation of a crab robot, it is need to get joint variable, a foot point, and their relation. Thus, the proposed kinematic analysis is very important process for the design and implementation of legged robots.

Fuzzy Navigation and Obstacle Avoidance Control for Docking of Modular Robots (모듈형 로봇의 자가 결합을 위한 퍼지 주행 제어 및 장애물 회피 제어)

  • Na, Doo-Young;Noh, Su-Hee;Moon, Hyung-Pil;Jung, Jin-Woo;Kim, Yong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.4
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    • pp.470-477
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    • 2009
  • Modular reconfigurable robots with physical docking capability easily adapt to a new environment and many studies are necessary for the modular robots. In this paper, we propose a vision-based fuzzy autonomous docking controller for the modular docking robots. A modular docking robot platform which performs real-time image processing is designed and color-based object recognition method is implemented on the embedded system. The docking robot can navigate to a subgoal near a target robot while avoiding obstacles. Both a fuzzy obstacle avoidance controller and a fuzzy navigation controller for subgoal tracking are designed. We propose an autonomous docking controller using the fuzzy obstacle avoidance and navigation controllers, absolute distance information and direction informations of robots from PSD sensors and a compass sensor. We verify the proposed docking control method by docking experiments of the developed modular robots in the various environments with different distances and directions between robots.

Detection of Pulmonary Region in Medical Images through Improved Active Control Model

  • Kwon Yong-Jun;Won Chul-Ho;Kim Dong-Hun;Kim Pil-Un;Park Il-Yong;Park Hee-Jun;Lee Jyung-Hyun;Kim Myoung-Nam;Cho Jin-HO
    • Journal of Biomedical Engineering Research
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    • v.26 no.6
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    • pp.357-363
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    • 2005
  • Active contour models have been extensively used to segment, match, and track objects of interest in computer vision and image processing applications, particularly to locate object boundaries. With conventional methods an object boundary can be extracted by controlling the internal energy and external energy based on energy minimization. However, this still leaves a number of problems, such as initialization and poor convergence in concave regions. In particular, a contour is unable to enter a concave region based on the stretching and bending characteristic of the internal energy. Therefore, this study proposes a method that controls the internal energy by moving the local perpendicular bisector point of each control point on the contour, and determines the object boundary by minimizing the energy relative to the external energy. Convergence at a concave region can then be effectively implemented as regards the feature of interest using the internal energy, plus several objects can be detected using a multi-detection method based on the initial contour. The proposed method is compared with other conventional methods through objective validation and subjective consideration. As a result, it is anticipated that the proposed method can be efficiently applied to the detection of the pulmonary parenchyma region in medical images.

Comparison of the Size of objects in the Virtual Reality Space and real space (가상현실 공간상에서 물체의 크기와 실제 크기간의 비교연구)

  • Kim, Yun-Jung
    • Cartoon and Animation Studies
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    • s.49
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    • pp.383-398
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    • 2017
  • Virtual Reality contents are being used as media in various fields. In order for the virtual reality contents to be realistic, the scale of the objects in the virtual reality must be the same as the actual size, and the user must feel the same size. However, even if the size of the character in the virtual reality space is made equal to the size in comparison with the size of the character in the reality, the distortion of the size can occur when the user looks at the object in the image with the HMD. In this paper, I investigate the requirements related to size in virtual reality, and try to find out what difference these requirements have in virtual reality and how the difference affects users. Experiments and surveys to compare the size of objects in virtual reality space and the size of objects in real space were conducted to investigate how scale distortion occurs at distant and near places. I hope that this paper will be a useful research for virtual reality developers.

Three Dimensional Volume Reconstruction of an Object from X-ray Iamges using Uniform and Simultaneous ART (USART 방법에 의한 X선 영상으로부터의 삼차원 물체의 형상 복원)

  • Roh, Young-Jun;Cho, Hyung-Suck;Kim, Hyeong-Cheol;Kim, Jong-Hyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.1
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    • pp.21-27
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    • 2002
  • Inspection and shape measurement of three-dimensional objects are widely needed in industries for quality monitoring and control. A number of visual or optical technologies have been successfully applied to measure three-dimensional surfaces. However, those conventional visual or optical methods have inherent shortcomings such as occlusion and variant surface reflection. X-ray vision system can be a good solution to these conventional problems, since we can extract the volume information including both the surface geometry and the inner structure of any objects. In the x-ray system, the surface condition of an object, whether it is lambertian or specular, does not affect the inherent characteristics of its x-ray images. In this paper, we propose a three-dimensional x-ray imaging method to reconstruct a three dimensional structure of an object out of two dimensional x-ray image sets. To achieve this by the proposed method, two or more x-ray images projected from different views are needed. Once these images are acquired, the simultaneous algebraic reconstruction technique(SART) is usually utilized. Since the existing SART algorithms have several shortcomings such as low performance in convergence and different convergence within the reconstruction volume of interest, an advanced SART algorithm named as USART(uniform SART) is proposed to avoid such shortcomings and improve the reconstruction performance. Because, each voxel within the volume is equally weighted to update instantaneous value of its internal density, it can achieve uniform convergence property of the reconstructed volume. The algorithm is simulated on various shapes of objects such as a pyramid, a hemisphere and a BGA model. Based on simulation results the performance of the proposed method is compared with that of the conventional SART method.

Optimization Technology of Thermomechanical Pulp Made from Pinus densiflora (II) - Quantification of Pitch Contents in TMP - (국내산 소나무로 제조되는 열기계펄프 제조 기술 최적화 연구 (II) - TMP 펄프의 피치 정량 연구 -)

  • Nam, Hyegeong;Kim, Chul-Hwan;Lee, Ji-Young;Park, Hyunghun;Kwon, Sol
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.47 no.5
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    • pp.33-42
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    • 2015
  • Pitches contained in thermomechanical pulp negatively influence paper qaulity and pulp and papermaking process. Without controlling TMP pitches suitably, it is hard to make a certain quality of paper. In order to control pitches in TMP, they must be quantitatively recognized by proper tools. One of the most widely used way to detecting TMP pitches is a staining method using a hydrophobic dye such as Sudan IV. Sudan IV could be used with three different protocols including different application of its dissolution, washing, dyeing time, etc. The dyeing protocols were classified into three categories including Stain I, Stain II, and Stain III. In dyeing time, Stain I required more than 24 hours to dye pitches. On the other hand, Stain III could stain TMP pitches with the most brief way. The images of red-stained pitches could be captured by a stereomicroscope with ${\times}35$ and ${\times}45$ magnifications, and then quantitatively analysed measuring their numbers and areas by Carl Zeiss AxioVision (ver. 4.8.2) program. Among three protocols, both Stain I and Stain III were the most ideal methods to detect TMP pitches because they detected more pitches and bigger pitch areas compared to Stain II against the same specimen. In particular, it was recognized that Stain III could be used as the most useful tool to detect TMP pitches accurately within several minutes.

Track-Before-Detect Algorithm for Multiple Target Detection (다수 표적 탐지를 위한 Track-Before-Detect 알고리듬 연구)

  • Won, Dae-Yeon;Shim, Sang-Wook;Kim, Keum-Seong;Tahk, Min-Jea;Seong, Kie-Jeong;Kim, Eung-Tai
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.39 no.9
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    • pp.848-857
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    • 2011
  • Vision-based collision avoidance system for air traffic management requires a excellent multiple target detection algorithm under low signal-to-noise ratio (SNR) levels. The track-before-detect (TBD) approaches have significant applications such as detection of small and dim targets from an image sequence. In this paper, two detection algorithms with the TBD approaches are proposed to satisfy the multiple target detection requirements. The first algorithm, based on a dynamic programming approach, is designed to classify multiple targets by using a k-means clustering algorithm. In the second approach, a hidden Markov model (HMM) is slightly modified for detecting multiple targets sequentially. Both of the proposed approaches are used in numerical simulations with variations in target appearance properties to provide satisfactory performance as multiple target detection methods.

A Study on the Utilizing Certificate Awareness for Student Certificate Holders of Private Security Guard (신변보호사 자격취득 학생들의 자격활용 인식에 관한 연구)

  • Kim, Il Gon
    • Convergence Security Journal
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    • v.13 no.2
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    • pp.45-54
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    • 2013
  • Korea Security Association suggested from who Professor An, Hwang Kwon advocated the introduction of a private security guard certification system, and the private security guard certification exam has been conducted seven times since 2005, being authorized by the government. Currently, there are a lot of certified private security guards who have passed the exam. In fact, however, no preference is given to them. In terms of employment, they don't receive any preferential treatment nor are given any extra points. Furthermore, they cannot afford to make use of their certificate. The purpose of this study was to examine the state of utilizing the private security guard certificate among student certificate holders and their awareness of the private security guard system. The findings of the study were as follows: First, it's important to present a vision for certified private security guards, and what equally matters is to make it clear how and where they can show what they can do. Second, it's required to improve the image and reliability of private security guards as professional security guards. Third, candidates for the certification exam should boost their own self-esteem, confidence and professionalism as competent human resources who can make a contribution to society.