• Title/Summary/Keyword: Image Edge

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Absolute Position Estimation Using IRS Satellite Images (IRS 위성영상을 이용한 절대위치 추정)

  • O, Yeong-Seok;Sim, Dong-Gyu;Park, Rae-Hong;Kim, Rin-Cheol;Lee, Sang-Uk
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.5
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    • pp.453-463
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    • 2001
  • This paper presents an absolute position estimation method using Indian remote sensing (IRS) satellite images, which is a part of a position estimation (PE) system. The accumulated buffer (AB) matching method is proposed, in which a set of accumulator cells is employed for fast edge-based matching. By computer simulations with two sets of veal aerial image sequences, the performance of the AB matching method is analyzed and its effectiveness is shown in terms of the position error in the hybrid PE system.

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An Effective Postprocessing Algorithm for Block Encoded Images Using Adaptive Filtering and Interpolation (적응적 필터링과 보간법을 이용한 블록기반 압축영상의 효율적인 후처리 알고리듬)

  • Park, Kyung-Nam
    • Journal of Korea Society of Industrial Information Systems
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    • v.12 no.1
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    • pp.39-45
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    • 2007
  • In this paper, we present a new postprocessing algorithm using interpolation and signal adaptive filter according to the each block characteristic which is acquired in block classification process. We applied blocking artifact reduction algorithm for four neighbor low frequency block and ringing artifacts is removed with preserving edges by applying a signal adaptive filter in high frequency block based on edge map. The computer simulation results confirmed a better performance by the proposed method in both the subjective and objective image qualities.

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DEVELOPMENT OF A MACHINE VISION SYSTEM FOR AN AUTOMOBILE PLASTIC PART INSPECTION

  • ANDRES N.S.;MARIMUTHU R.P.;EOM Y.K.;JANG B.C.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.1131-1135
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    • 2005
  • Since human is vulnerable to emotional, physical and environmental distractions, most human inspectors cannot sustain a consistent 8-hour inspection in a day specifically for small components like door locking levers. As an alternative for human inspection, presented in this study is the development of a machine vision inspection system (MVIS) purposely for door locking levers. Comprises the development is the structure of the MVIS components, designed to meet the demands, features and specifications of door locking lever manufacturing companies in increasing their production throughput upon keeping the quality assured. This computer-based MVIS is designed to perform quality measures of detecting missing portions and defects like burr on every door locking lever. NI Vision Builder software for Automatic Inspection (AI) is found to be the optimum solution in configuring the needed quality measures. The proposed software has measurement techniques such as edge detecting and pattern-matching which are capable of gauging, detecting missing portion and checking alignment. Furthermore, this study exemplifies the incorporation of the optimized NI Builder inspection environment to the pre-inspection and post-inspection subsystems.

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Comparison of Morphology of Deposits on SiC Filaments with LIF Image in Propane/Air Laminar Diffusion Flames in an Oxidizer Deficient Environment (산화제 결핍 상태의 프로판 층류 확산화염에서 LIF 이미지와 SiC 필라멘트 부착물의 형태 비교)

  • Shim, Sung-Hoon;Yoo, Chang-Jong;Shin, Hyun-Dong
    • Journal of the Korean Society of Combustion
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    • v.7 no.4
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    • pp.1-9
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    • 2002
  • The morphology of deposits on $15-{\mu}m$ thin SiC filaments has been investigated with SEM and compared with UV-excited laser induced broadband fluorescences in co-flowing, propane laminar diffusion flames in a reduced oxidizer environment. The homogeneous morphology of droplet-like deposits inner flame zone and the agglomeration of condensed-phase deposits and the transition to soots from grown up droplet-like precursors with approaching the flame surface can be observed in a barely sooting flame. The average size of the mature soots deposited in the luminous flame edge is scarcely dependent on their axial position in a confined flame under reduced oxidizer condition. A double structure of PAH fluorescence is observed in near-extinction flames with further decreasing of oxidizer. A comparison of the PAH fluorescence with the morphologies of deposits indicates that appearance of the "dark" hollow zone is caused by a decreased number density of developed liquid-phase large molecules and the outer weak fluorescence zone is caused by the diffusion of gas-phase small molecules.

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Performance Improvement Method of Face Detection Using SVM (SVM을 이용한 얼굴 검출 성능 향상 방법)

  • Jee, Hyung-Keun;Lee, Kyung-Hee;Chung, Yong-Wha
    • The KIPS Transactions:PartB
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    • v.11B no.1
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    • pp.13-20
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    • 2004
  • In the real-time automatic face recognition technique, accurate face detection is essential and very important part because it has the effect to face recognition performance. In this paper, we use color information, edge information, and binary information to detect candidate regions of eyes from Input image, and then detect face candidate region using the center point of the detected eyes. We verify both eye candidate region and face candidate region using Support Vector Machines(SVM). It is possible to perform fast and reliable face detection because we can protect false detection through these verification process. From the experimental results, we confirmed the Proposed algorithm in this paper shows excellent face detection rate over 99%.

HVS Based Digital Watermarking Using the POCS Theory (POCS 이론을 이용한 인간시각시스템 기반 디지털 워터마킹)

  • Kim, Hee-Jung;Seo, Yong-Su;Kim, Ji-Hong
    • Journal of Korea Multimedia Society
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    • v.8 no.4
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    • pp.516-524
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    • 2005
  • In this paper, a new watermarking scheme based on the POCS theory and human visual system is proposed. Using the POCS theory, watermarks are embedded into imperceptible image regions such as edge and strong texture area in the spatial domain. Also it is inserted into middle frequency band in the transform domain to achieve the robustness against compression and filtering, etc. In addition, different gain factors are employed into blocks classified by considering texture masking effect. By doing so, the proposed method has a novel property of having both the imperceptibility and the robustness simultaneously. Simulation results show that the proposed method has an excellent performance better than conventional approaches.

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Real-time Hausdorff Matching Algorithm for Tracking of Moving Object (이동물체 추적을 위한 실시간 Hausdorff 정합 알고리즘)

  • Jeon, Chun;Lee, Ju-Sin
    • The KIPS Transactions:PartB
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    • v.9B no.6
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    • pp.707-714
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    • 2002
  • This paper presents a real-time Hausdorff matching algorithm for tracking of moving object acquired from an active camera. The proposed method uses the edge image of object as its model and uses Hausdorff distance as the cost function to identify hypothesis with the model. To enable real-time processing, a high speed approach to calculate Hausdorff distance and half cross matching method to improve performance of existing search methods are also presented. the experimental results demonstrate that the proposed method can accurately track moving object in real-time.

Microcalcification Extraction by Using Automatic Thredholding Based on Region Growing (영역 성장법을 기반으로 자동적인 임계치 설정을 이용한 미세 석회화 추출)

  • 원철호;권용준;이정현;박희준;임성운;김명남;조진호
    • Journal of Biomedical Engineering Research
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    • v.25 no.4
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    • pp.235-242
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    • 2004
  • In this paper, we proposed the algorithm for detection of microtalcification by automatic threshold decision based on region growing method. The region for optimal threshold is grown from local maximum pixel by increasing repeatedly threshold in microralcification candidate region. Then, the optimal threshold is automatically decided at the maximum value of the contrast and edge sharpness in this region. Microcalcifications could be efficiently detected as satisfied result that true positive ratio is 81.5% and average false positive numbers are 1.1 about total 299 microcalcifirations in real image. In a result, we showed that this algorithm can be used to aid diagnostic-radiologist for the diagnosis of the early phase of breast cancer.

Matching algorithm for self-propellent artillery position on satellite image Using chamfer distance (챔퍼 디스턴스를 이용한 위성영상 상의 북한군 자주포진지 매칭기법)

  • Kim, Sanghun;Lee, Soon-Young;Yun, Ildong;Lee, Sanguk
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.07a
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    • pp.451-453
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    • 2011
  • 본 논문에서는 챔퍼 디스턴스 매칭(chamfer distance matching)를 이용하여 위성 영상 상의 북한군 자주포진지(self-propellent artillery position)를 매칭하는 기법을 제안한다. 먼저 입력되는 위성 영상을 잡음환경에 강인한 가우시안-라플라시안 연산자를 이용하여 에지(edge)를 추출한다. 추출된 에지 영상의 각 픽셀에 대해 가장 가까운 에지까지의 거리를 나타내는 거리 변환(distance transform) 영상을 생성한다. 템플릿 영상은 다양한 자주포진지 영상에서 샘플링된 영상으로 에지를 추출한 후 거리 변환을 거친다. 마지막으로 템플릿 영상을 입력된 거리 변환 영상에 윈도우 슬라이딩(window sliding)하여 최소값의 가지는 위치를 구한다. 제안 기법은 잡음에 강인한 가우시안-라플라시안 연산자를 사용하여 기상조건에 의한 입력 영상의 편차에도 효율적인 매칭이 가능하다. 또한 에지 기반의 챔퍼 매칭을 이용하기 때문에 비 균일 조명 환경에서도 강인한 매칭이 이루어진다. 전산 모의 실험에서 제안 알고리즘은 입력 위성 영상 상의 자주포진지를 적은 계산량으도 신뢰있게 매칭함을 보여준다.

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Target Object Detection Based on Robust Feature Extraction (강인한 특징 추출에 기반한 대상물체 검출)

  • Jang, Seok-Woo;Huh, Moon-Haeng
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.12
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    • pp.7302-7308
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    • 2014
  • Detecting target objects robustly in natural environments is a difficult problem in the computer vision and image processing areas. This paper suggests a method of robustly detecting target objects in the environments where reflection exists. The suggested algorithm first captures scenes with a stereo camera and extracts the line and corner features representing the target objects. This method then eliminates the reflected features among the extracted ones using a homographic transform. Subsequently, the method robustly detects the target objects by clustering only real features. The experimental results showed that the suggested algorithm effectively detects the target objects in reflection environments rather than existing algorithms.