• Title/Summary/Keyword: contour analysis

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A Syudy on the Resonant Mode Identification in the Dielectric-disc Loaded Cylindrical Cavity Resonators (유전체 디스크가 삽입된 원통형 공동 공진기에서의 공진 모드 구분에 관한 연구)

  • Lee, Won-Hui;Kim, Tai-Shin;Kang, Min-Woo;Koo, Kyung-Wan;Hur, Jung
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2001.07a
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    • pp.791-794
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    • 2001
  • We described a method resonant mode identification in dielectric-disc loaded cylindrical cavity resonators. The characteristic equation is solved by using the ContourPlot graph of Mathematica. Contour graph method uses graphical method. It is comparable with numerical method. The numerical method is very difficult a mode identification. The analysis based on the approximated electromagnetic representation. This kinds of studies only concentrated on the calculation of resonant frequencies, and a mode identification of resonant frequencies have not been covered. But, the contour graph method to analyze the characteristic equations is simple and all parts of resonant frequency graph can be easily drawn, it is possible to calculate precise resonant frequencies and to identify the mode of resonant frequencies.

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Digital Endoscopic Image Segmentation using Deformable Models

  • Yoon, Sung-Won;Kim, Jeong-Hoon;Lee, Myoung-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.57.4-57
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    • 2002
  • $\textbullet$ Image segmentation is an essential technique of image analysis. In spite of the traditional issues in contour initialization and boundary concavities, active contour models(snakes) are popular and known as successful methods for segmentation. $\textbullet$ We could find in experiment that snake using Gaussian External Force is fast in time but low in accuracy and snake using Gradient Vector Flow by Chenyang Xu and Jerry L. Prince is high in accuracy but slow in time. $\textbullet$ In this paper, we presented a new active contour model, GGF snake, for segmentation of endoscopic image. Proposed GGF snake made up for the defects of the traditional snakes in contour initialization and boundary...

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A Study on the Contour-Preserving Image Filtering for Noise Removal (잡음 제거를 위한 윤곽선 보존 기법에 관한 연구)

  • Yoo, Choong-Woong;Ryu, Dae-Hyun;Bae, Kang-Yeul
    • Journal of the Korean Institute of Telematics and Electronics T
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    • v.36T no.4
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    • pp.24-29
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    • 1999
  • In this paper, a simple contour-preserving filtering algorithm is proposed. The goal of the contour-preserving filtering method is to remove noise ad granularity as the preprocessing for the image segmentation procedure. Our method finds edge map and separates the image into the edge region and the non-edge region using this edge map. For the non-edge region, typical smoothing filters could be used to remove the noise and the small areas during the segmentation procedure. The result of simulation shows that our method is slightly better than the typical methods such as the median filtering and gradient inverse weighted filtering in the point of view of analysis of variance (ANOVA).

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Analysis and Interpretation of Intonation Contours of Slovene

  • Ales Dobnikar
    • Proceedings of the KSPS conference
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    • 1996.10a
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    • pp.542-547
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    • 1996
  • Prosodic characteristics of natural speech, especially intonation, in many cases represent specific feelings of the speaker at the time of the utterance, with relatively vast variations of speaking styles over the same text. We analyzed a collected speech corpus, recorded with ten Slovene speakers. Interpretation of observed intonation contours was done for the purpose of modelling the intonation contour in synthesis process. We devised a scheme for modeling the intonation contour for different types of intonation units based on the results of analyzing intonation contours. The intonation scheme uses a superpositional approach, which defines the intonation contour as the sum of global (intonation unit) and local (accented syllables or syntactic boundaries) components. Near-to-natural intonation contour was obtained by rules, using only the text of the utterance as input.

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Contour based Algorithms for Generating 3D Models from CT Images (CT 이미지로부터 3차원 모델 생성을 위한 contour 기반 알고리즘)

  • 류재헌;김현수;이관행
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.4
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    • pp.174-182
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    • 2003
  • Recently, medical imaging has taken interest on CAD based solution for anatomical part fabrication or finite element analysis of human body. In principle, contours representing object boundary are obtained through image processing techniques. Surface models are then approximated by a skinning method. For this, various methods should be applied to medical images and contours. The major bottleneck of the reconstruction is to remove shape inconsistency between contours and to generate the branching surface. In order to solve these problems, bi-directional smoothing and the composite contour generation method are proposed. Bi-directional smoothing has advantage of removing the shape inconsistency between contours and minimizing shrinkage effect with a large number of iterations. The composite contour by the proposed method ensures smooth transition in branching region.

Design of Electrode Shape with B-Spline Curve Under Specified Field Condition (B-Spline곡선을 이용한 지정된 전계조건하의 전극형상 설계)

  • 김응식;박종근
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.39 no.9
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    • pp.964-975
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    • 1990
  • This paper aims at the design of high voltage electrode contour under specified field condition. Defining the contour with B-Spline curve, the number of contour variables can be reduced and very smooth electrode can be obtained. For the analysis of the electric field, Surface Charge Method which has advantages in practical model has been used. As an initial contour, the rod-plane gap has been used since the difference between maximum and minimum field value is relatively large. Various field conditions including uniform field condition are given to the end of the rod electrode. Under uniform field condition, authors designed an electrode whose field-deviation was under 0.5%. Finally, the relation between the curvature and field of the electrode has been checked, which showed that B-Spline curve is appropriate for the shape function.

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The preprocessing effect using K-means clustering and merging algorithms in cardiac left ventricle segmentation

  • Cho, Ik-Hwan;Do, Ki-Bum;Oh, Jung-Su;Song, In-Chan;Chang, Kee-Hyun;Jeong, Dong-Seok
    • Proceedings of the KSMRM Conference
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    • 2002.11a
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    • pp.126-126
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    • 2002
  • Purpose: For quantitative analysis of the cardiac diseases, it is necessary to segment the left-ventricle(LV) in MR cardiac images. Snake or active contour model has been used to segment LV boundary. In using these models, however, the contour of the LV may not converge to the desirable one because the contour may fall into local minimum value due to image artifact in inner region of the LV Therefore, in this paper, we propose the new preprocessing method using K-means clustering and merging algorithms that can improve the performance of the active contour model.

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Contour machining error in NC milling process

  • Namkoong, Chikwan;Yellowely, I.
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.10 no.6
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    • pp.116-125
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    • 2001
  • The comprehensive system analysis for contour milling operation has performed in this study, which combined the each element with proper connectivity into closed loop system, and determined the system response by numerical simulation technique. The obtained simulated results were then compared with the experimental results from the practical points of view, and so forth, the governing equations were formulated into the estimation model, which predicted the total contour machining error within 25% accuracy. Through the procedural evaluation, it could ascertain the characteristics of generation mechan- ifs in circular contour machining error, and the weight of each factor.

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A Study on the Resonant Mode Identification in the Dielectric-disc Loaded Cylindrical Cavity Resonatorsv (유전체 디스크가 삽입된 원통형 공동 공진기에서의 공진 모드 구분에 관한 연구)

  • 이원희;김태신
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.15 no.1
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    • pp.37-45
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    • 2002
  • We described a method of resonant mode identification in dielectric-disc loaded cylindrical cavity resonators. The characteristic equations are solved using the ContourPlot graph of Mathematica. Contour graph method uses graphical method. It is comparable with numerical method. The numerical method is very difficult mode identification. The analysis is based on the approximated electromagnetic representation which is only concentrated on the calculation of resonant frequencies, and a mode identification of resonant frequencies has not been covered. However, It is possible to calculate precise resonant frequencies and to identify the mode of resonant frequencies using the contour graph method. The contour graph method is not a method using approximated representation of electromagnetic field variation at the outer area of dielectric in the resonators. It is a method using enact representation.

Contour Extraction Method using p-Snake with Prototype Energy (원형에너지가 추가된 p-Snake를 이용한 윤곽선 추출 기법)

  • Oh, Seung-Taek;Jun, Byung-Hwan
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.4
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    • pp.101-109
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    • 2014
  • It is an essential element for the establishment of image processing related systems to find the exact contour from the image of an arbitrary object. In particular, if a vision system is established to inspect the products in the automated production process, it is very important to detect the contours for standardized shapes such lines and curves. In this paper, we propose a prototype adaptive dynamic contour model, p-Snake with improved contour extraction algorithms by adding the prototype energy. The proposed method is to find the initial contour by applying the existing Snake algorithm after Sobel operation is performed for prototype analysis. Next, the final contour of the object is detected by analyzing prototypes such as lines and circles, defining prototype energy and using it as an additional energy item in the existing Snake function on the basis of information on initial contour. We performed experiments on 340 images obtained by using an environment that duplicated the background of an industrial site. It was found that even if objects are not clearly distinguished from the background due to noise and lighting or the edges being insufficiently visible in the images, the contour can be extracted. In addition, in the case of similarity which is the measure representing how much it matches the prototype, the prototype similarity of contour extracted from the proposed p-ACM is superior to that of ACM by 9.85%.