• Title/Summary/Keyword: 레벨셋 모델

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Morphing Technique using Scanned Data and Level-Set Method (스캔 데이터와 레벨셋 방법을 이용한 몰핑 기법)

  • Lee, Tae-Ho;Lee, Seung-Wook;Cho, Seon-Ho
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2011.04a
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    • pp.565-568
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    • 2011
  • NURBS는 매개변수를 이용하여 3차원에서 곡면을 표현한 방법으로서 노트벡터, 조정점, 가중치로 구성된다. 레벨셋은 공간을 음함수로 정의된 장으로 형성하여 음함수의 일정한 값을 추적하여 곡면을 표현한 방법이다. 본 논문에서는 스캔 데이터를 NURBS 형태로 추출한 뒤 이를 정밀한 레벨셋 모델로 변환하였다. 레벨셋 모델을 구성하기 위해서 형성된 음함수는 부호를 갖는 거리함수를 사용하였고, 거리함수를 정밀하게 나타내기 위해 Newton 순환법을 이용하였다. 변환된 레벨셋 모델을 이용하여 형상의 몰핑을 수행하였다. 몰핑은 초기 형상을 목표 형상으로 변화시켜 나가는 과정으로서 레벨셋 모델을 이용한 몰핑은 용이성과 질적인 측면에서 우수하다. 수치 예제에서는 스캔 데이터의 레벨셋 모델 변환과 변환된 형상이 자연스럽게 목표형상으로 변화하는지를 확인한다.

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Color Object Segmentation using Distance Regularized Level Set (거리정규화 레벨셋을 이용한 칼라객체분할)

  • Anh, Nguyen Tran Lan;Lee, Guee-Sang
    • Journal of Internet Computing and Services
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    • v.13 no.4
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    • pp.53-62
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    • 2012
  • Object segmentation is a demanding research area and not a trivial problem of image processing and computer vision. Tremendous segmentation algorithms were addressed on gray-scale (or biomedical) images that rely on numerous image features as well as their strategies. These works in practice cannot apply to natural color images because of their negative effects to color values due to the use of gray-scale gradient information. In this paper, we proposed a new approach for color object segmentation by modifying a geometric active contour model named distance regularized level set evolution (DRLSE). Its speed function will be designed to exploit as much as possible color gradient information of images. Finally, we provide experiments to show performance of our method with respect to its accuracy and time efficiency using various color images.

Design Optimization of Moving-Coil Type Linear Actuator Using Level Set Method and Phase-Field Model (레벨셋법과 페이즈 필드 모델을 이용한 가동코일형 리니어 액추에이터 최적설계)

  • Lim, Sung-Hoon;Oh, Se-Ahn;Min, Seung-Jae;Hong, Jung-Pyo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.10
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    • pp.1223-1228
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    • 2011
  • A moving-coil type linear actuator has been widely used in the system reciprocating short stroke because of its several advantages, such as the structural simplicity, low weight and a fast control response speed. This paper presents a design approach for improving the actuating performance with a clear expression of optimal configuration represented by a level set function. The optimization problem is formulated to minimize the variation of magnetic force at every moving displacement of the mover for fast and easy control. To consider the manufacturability of actuator, the concept of phase-field model is incorporated to control the complexity of structural boundaries. To verify the usefulness of the proposed method, the core design example of cylindrical linear actuator is performed.

Image Segmentation of Special Area Using the Level Set (레벨셋을 이용한 특정 영역의 영상 세그먼테이션)

  • Joo, Ki-See;Choi, Deog-Sang
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.4
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    • pp.967-975
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    • 2010
  • Image segmentation is one of the first steps leading to image analysis and interpretation, which is to distinguish objects from background. However, the active contour model can't exactly extract the desired objects because the phase only is 2. In this paper, we propose the method which can find the desired contours by composing the initial curve near the objects which have intensities of special range. The initial curve is calculated by the histogram equalization, the Gaussian equalization, and the threshold. The proposed method reduce the calculation speed and exactly detect the wanted objects because the initial curve set near by interested area. The proposed method also shows more efficient than the active contour model in the results applied the CT and MR images.

Anonymity of Medical Brain Images (의료 두뇌영상의 익명성)

  • Lee, Hyo-Jong;Du, Ruoyu
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.49 no.1
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    • pp.81-87
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    • 2012
  • The current defacing method for keeping an anonymity of brain images damages the integrity of a precise brain analysis due to over removal, although it maintains the patients' privacy. A novel method has been developed to create an anonymous face model while keeping the voxel values of an image exactly the same as that of the original one. The method contains two steps: construction of a mockup brain template from ten normalized brain images and a substitution of the mockup brain to the brain image. A level set segmentation algorithm is applied to segment a scalp-skull apart from the whole brain volume. The segmented mockup brain is coregistered and normalized to the subject brain image to create an anonymous face model. The validity of this modification is tested through comparing the intensity of voxels inside a brain area from the mockup brain with the original brain image. The result shows that the intensity of voxels inside from the mockup brain is same as ones from an original brain image, while its anonymity is guaranteed.

Modeling for Evolution of a 3-dimensional Structure on Semiconductor Substrate (반도체 기판 위의 3차원 구조에 대한 형상 진화 모델링 연구)

  • Jung, Hyun-Su;Won, Tae-Young
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.37 no.12
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    • pp.24-28
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    • 2000
  • This paper reports a new calculation method of three dimensional deposeition rate by level set method. To model an advancement of the surface efficiently, we have developed a new iteration method to re-initialize the level set function. For calculating etching and deposition rate by direct flow, we have developed a visibility test module and a refraction and re-sputtering model. Sputter deposition rate with shadow effect and surface refraction is calculated. We report that difference of profiles in cases that sticking coefficient are 1.0 and 0.3. We report that the difference of the deposition rate on bottom of the hole is caused by a difference of visible angle by the shadowing effect.

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Noise Removal for Level Set based Flower Segmentation (레벨셋 기반 꽃 분할을 위한 노이즈 제거)

  • Park, Sang Cheol;Oh, Kang Han;Na, In Seop;Kim, Soo Hyung;Yang, Hyung Jeong;Lee, Guee Sang
    • Smart Media Journal
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    • v.1 no.2
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    • pp.34-39
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    • 2012
  • In this paper, post-processing step is presented to remove noises and develop a fully automated scheme to segment flowers in natural scene images. The scheme to segment flowers using a level set algorithm in the natural scene images produced unexpected and isolated noises because the level set relies only on the color and edge information. The experimental results shows that the proposed method successfully removes noises in the foreground and background.

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A Study on Shape Registration Using Level-Set Model and Surface Registration Volume Rendering of 3-D Images (레밸 세트 모텔을 이용한 형태 추출과 3차원 영상의 표면 정합 볼륨 렌더링에 관한 연구)

  • 김태형;염동훈;주동현;김두영
    • Journal of the Institute of Convergence Signal Processing
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    • v.3 no.4
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    • pp.29-34
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    • 2002
  • In this paper, we present a new geometric active contour model based on level set methods introduced by Osher and Sethian for detection of object boundaries or shape and we adopt anisotropic diffusion filtering method for removing noise from original image. In order to minimize the processing time, we use the narrow band method which allows us to perform calculations in the neighborhood of the contour and not in the whole image. Using anisotropic diffusion filtering for each slice, we have the result with reduced noise and extracted exact shape. Volume rendering operates on three-dimensional data, processes it, and transforms it into a simple two-dimensional image.

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Turbulent Combustion Characteristics of a Swirl Injector in a Gas Turbine Annular Combustor Using LES and Level-set Flamelet (LES와 Level-set Flamelet 기법을 이용한 가스터빈 환형 연소기용 스월 분사기의 난류 연소 특성)

  • Kim, Lina;Hong, Ji-Seok;Jeong, Won Cheol;Yoo, Kwang-Hee;Kim, Jong-Chan;Sung, Hong-Gye
    • Journal of the Korean Society of Propulsion Engineers
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    • v.18 no.2
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    • pp.1-9
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    • 2014
  • To investigate the flame dynamics in an annular combustor with single swirl injector, a 3D large-eddy simulation (LES) and a level-set flamelet turbulent combustion model have been implemented. The LM6000 developed by GEAE has been used as the combustor of concern and boundary conditions are based on experimental data. The strong central toroidal recirculation zone induced by the volume expansion of the combustion gas and the vortex breakdown continuously occurred through the procession of the vortex with decreasing strength, are observed.

Sclera Segmentation for the Measurement of Conjunctival Injection (결막 충혈도 측정을 위한 공막 영상 분할)

  • Bae, Jang-Pyo;Kim, Kwang-Gi;Jeong, Chang-Bu;Yang, Hee-Kyung;Hwang, Jeong-Min
    • Journal of Korea Multimedia Society
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    • v.13 no.8
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    • pp.1142-1153
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    • 2010
  • Conjunctival injection is the initial symptom of various eye diseases such as conjunctivitis, keratitis, or uveitis. The quantification of conjunctival injection may help the diagnosis and follow-up evaluation of various eye diseases. The size of the sclera is an important factor for the quantification of conjunctival injection. However, previous manual segmentation is time-consuming.Automatic segmentation is needed to extract the objective region of interest. This paper proposed a method based on the level set algorithm to segment the sclera from an anterior eye image. The initial model of the level set algorithm is calculated using the Lab color space, k-means algorithm and the geometric information. The level set algorithm was applied to the images in which the valley between the eyeball and skin was enhanced using the hessian analysis. This algorithm was tested with 52 images of the anterior eye segment. Results showed that the proposed method performs better than those with the level set algorithm using an arbitrary circle, or the region growing algorithm with color information. The proposed method for the segmentation of sclera may become an important component for the objective measurement of the conjunctival injection.