• Title/Summary/Keyword: image thinning

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Optimal Path Planning Using Critical Points

  • Lee, Jin-Sun;Choi, Chang-Hyuk;Song, Jae-Bok;Chung, Woo-Jin;Kim, Mun-Sang
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.131.4-131
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    • 2001
  • A lot of path planning algorithms have been developed to find the collision-free path with minimum cost. But most of them require complicated computations. In this paper, a thinning method, which is one of the image processing schemes, was adopted to simplify the path planning procedure. In addition, critical points are used to find the shortest-distance path among all possible paths from the start to the goal point. Since the critical points contain the information on the neighboring paths, a new path can be quickly obtained on the map even when the start and goal points change. To investigate the validity of the proposed algorithm, various simulations have been performed for the environment where the obstacles with arbitrary shapes exist. It is shown that the optimal paths can be found with relative easiness.

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THE RELATIVE IMPORTANCE OF NON-NEWTONIAN CHARACTERISTICS OF BLOOD IN THE HEMODYNAMICS OF THE CAROTID BIFURCATION (경동맥 혈류유동에서의 혈액의 비뉴우토니안 특성의 상대적 중요성 해석)

  • Lee, S.W.;Steinman, D.A.
    • 한국전산유체공학회:학술대회논문집
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    • 2008.03a
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    • pp.181-185
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    • 2008
  • In this study, we attempted to quantify the relative importance of assumptions regarding blood rheology. Three patient-specific carotid bifurcation geometries and time-varying flow rates were obtained using magnetic resonance imaging. For each subject, CFD simulations were carried out assuming two different non-Newtonian rheology models Carreau and Ballyk models) and rescaled Newtonian viscosities based on characteristic shear rates to account for the shear-thinning property of blood. The sensitivity of WSS and oscillatory shear index (OSI) were contextualized with respect to the reproducibility of the reconstructed geometry and to assumptions regarding the inlet boundary conditions. We conclude that the assumption of Newtonian fluid is reasonable for studies aimed at quantifying the distribution of WSS-based extrema in an image-based CFD model of carotid bifurcation.

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THE RELATIVE IMPORTANCE OF NON-NEWTONIAN CHARACTERISTICS OF BLOOD IN THE HEMODYNAMICS OF THE CAROTID BIFURCATION (경동맥 혈류유동에서의 혈액의 비뉴우토니안 특성의 상대적 중요성 해석)

  • Lee, S.W.;Steinman, D.A.
    • 한국전산유체공학회:학술대회논문집
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    • 2008.10a
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    • pp.181-185
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    • 2008
  • In this study, we attempted to quantify the relative importance of assumptions regarding blood rheology. Three patient-specific carotid bifurcation geometries and time-varying flow rates were obtained using magnetic resonance imaging. For each subject, CFD simulations were carried out assuming two different non-Newtonian rheology models (Carreau and Ballyk models) and rescaled Newtonian viscosities based on characteristic shear rates to account for the shear-thinning property of blood. The sensitivity of WSS and oscillatory shear index (OSI) were contextualized with respect to the reproducibility of the reconstructed geometry and to assumptions regarding the inlet boundary conditions. We conclude that the assumption of Newtonian fluid is reasonable for studies aimed at quantifying the distribution of WSS-based extrema in an image-based CFD model of carotid bifurcation.

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An Automatic Connection Scheme of Disconnected Contours for the Vectorizing of Contours (등고선 벡터라이징을 위한 끊어진 등고선의 자동 연결 기법)

  • 전일수;남인길
    • Journal of Korea Society of Industrial Information Systems
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    • v.5 no.4
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    • pp.60-66
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    • 2000
  • This paper presents a contour connection scheme in a scanned contour image including broken lines for the developing of the automated contour vecterizing system. In the proposed scheme, the thinning of contours is performed, and then broken lines are connected Contours have end points if there exist broken lines. Each pair of end points is connected repeatedly according to their status to be one connected component per contour. The proposed scheme can be applied to develope an efficient automated contour vectorizing system.

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Design of Hierarchical Classifier for Classifying Defects of Cold Mill Strip using Neural Networks (신경회로망을 이용한 냉연 표면흠 분류를 위한 계층적 분류기의 설계)

  • Kim, Kyoung-Min;Lyou, Kyoung;Jung, Woo-Yong;Park, Gwi-Tae;Park, Joong-Jo
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.4
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    • pp.499-505
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    • 1998
  • In developing an automated surface inspect algorithm, we have designed a hierarchical classifier using neural network. The defects which exist on the surface of cold mill strip have a scattering or singular distribution. We have considered three major problems, that is preprocessing, feature extraction and defect classification. In preprocessing, Top-hit transform, adaptive thresholding, thinning and noise rejection are used Especially, Top-hit transform using local minimax operation diminishes the effect of bad lighting. In feature extraction, geometric, moment, co-occurrence matrix, and histogram ratio features are calculated. The histogram ratio feature is taken from the gray-level image. For defect classification, we suggest a hierarchical structure of which nodes are multilayer neural network classifiers. The proposed algorithm reduced error rate by comparing to one-stage structure.

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Extraction of core and delta Points in Fingerprint (지문에서 코아와 델타의 추출)

  • Jeong, Yang-Kwon
    • The Journal of the Acoustical Society of Korea
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    • v.13 no.1
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    • pp.42-48
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    • 1994
  • Recently pictorial information processing has become increasingly important So, this paper described that feature points of fingerprint used to recognize fingerprints for identification in a government or arresting criminals in an institution like a police station related to crime. We apply an algorithm based on minimization of fuzzy theory to thinning and then the image into a certain size of squares. We have got some information about cores and deltas from the data encoding Into one of the eight directional codes. We could extract about $80\%$ feature points as the result of the experiment.

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A Study on Real-Time Recognition of Car license Plate Using Neural (인공신경회로망을 이용한 실시간 차량번호판 인식에 관한 연구)

  • Kim, Seong-H.;Lee, Young-J.;Chang, Yong-H.;Lee, Kwon-S.
    • Proceedings of the KIEE Conference
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    • 1997.07b
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    • pp.507-509
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    • 1997
  • One of the most difficult tasks in the process of car license plate is the extraction of each character from within license plate region. This paper presents a real-time recognition of car licence number using neural network in parking lot. The feature parameters of letters and numbers of license plate are extracted by thinning algorithm. Both feature parameters are used to train neural networks for the image recognition.

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Assessment of retinal degeneration with optical coherence tomography in a dog (Ocular coherence tomography를 이용한 개의 망막변성증 평가)

  • Ji, Dongbeom;Yoo, Sukjong;Seo, Kangmoon;Jeong, Manbok
    • Korean Journal of Veterinary Research
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    • v.53 no.2
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    • pp.137-141
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    • 2013
  • To report retinal image of in a 6-year-old male castrated poodle dog with a 2-month history of nyctalopia using optical coherence tomography (OCT). Ocular reflexes were present in both eyes and slit lamp examination showed anterior subscapular cataract in the right eye. There were fundus abnormalities in both eyes similar to retinal degeneration. Scotopic electroretinograms (ERGs) revealed significantly subabnormal amplitudes and prolonged implicit time, whereas photopic ERGs were better maintained, although far from normal. OCT of affected dogs revealed generalized retinal thinning much more than a normal age-matched dog. Therefore, OCT scanning is considered to be a useful method for retinal evaluation in dogs with retinal degeneration.

The Recognition of Printed HANGUL Character (인쇄체 한글 문자 인식에 관한 연구)

  • Jang, Seung-Seok;Jang, Dong-Sik
    • Journal of Korean Institute of Industrial Engineers
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    • v.17 no.2
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    • pp.27-37
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    • 1991
  • A recognition algorithm for Hangul is developed by structural analysis to Hangul in this theses. Four major procedures are proposed : preprocessing, type classification, separation of consonant and vowel, recognition. In the preprocessing procedure, the thinning algorithm proposed by CHEN & HSU is applied. In the type classification procedure, thinned Hangul image is classified into one of six formal types. In the separation of consonant and vowel procedure, starting from branch-points which are existed in a vowel, character elements are separated by means of tracing branch-point pixel by pixel and comparison with proposed templates. In the same time, the vowels are recognized. In the recognition procedure, consonants are extracted from the separated Hangul character and recognized by modified Crossing method. Recognized characters are converted into KS-5601-1989 codes. The experiments show that correct recognition rate is about 80%-90% and recognition speed is about 2-3 character persecond in three types of different input data on computer with 80386 microprocessor.

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A Discontinuity feature Enhancement Filter Using DCT fuzziness (DCT블록의 애매성을 이용한 불연속특징 향상 필터)

  • Kim, Tae-Yong
    • Journal of Korea Multimedia Society
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    • v.8 no.8
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    • pp.1069-1079
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    • 2005
  • Though there have been many methods to detect features in spatial domain, in the case of a compressed image it has to be decoded, processed and encoded again. Alternatively, we can manipulate a compressed image directly in the Discrete Cosine Transform (DCT) domain that has been used for compressing videos or images in the standards like MPEG and JPEG. In our previous work we proposed a model-based discontinuity evaluation technique in the DCT domain that had problems in the rotated or non-ideal discontinuities. In this paper, we propose a fuzzy filtering technique that consists of height fuzzification, direction fuzzification, and forty filtering of discontinuities. The enhancement achieved by the fuzzy tittering includes the linking, thinning, and smoothing of discontinuities in the DCT domain. Although the detected discontinuities are rough in a low-resolution image for the size (8${\times}$8 pixels) of the DCT block, experimental results show that this technique is fast and stable to enhance the qualify of discontinuities.

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