• Title/Summary/Keyword: contour analysis

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Parallelization of Cell Contour Line Extraction Algorithm (세포 외곽선 추출 알고리즘의 병렬화)

  • Lee, Ho Seok;Yu, Suk Hyun;Kwon, Hee Yong
    • Journal of Korea Multimedia Society
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    • v.18 no.10
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    • pp.1180-1188
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    • 2015
  • In this paper, a parallel cell contour line extraction algorithm using CUDA, which has no inner contour lines, is proposed. The contour of a cell is very important in a cell image analysis. It could be obtained by a conventional serial contour tracing algorithm or parallel morphology operation. However, the cell image has various damages in acquisition or dyeing process. They could be turn into several inner contours, which make a cell image analysis difficult. The proposed algorithm introduces a min-max coordinates table into each CUDA thread block, and removes the inner contour in parallel. It is 4.1 to 7.6 times faster than a conventional serial contour tracing algorithm.

A Study on Circular Contour Machining Error

  • Namkoong, Chaikwan
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.11 no.5
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    • pp.100-105
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    • 2002
  • The comprehensive system analysis for contour milling operation and its error has performed in this study. The obtained experimental results were from the practical points of view. In down-milling operation the contour error curve illustrates bigger thean actual workpiece radius. The contour error increased when the cutter loads increased. Through the procedural evaluation, it could ascertain the characteristics of generation mechanics in circular contour machining error, and the weight of each factors.

A Systemic Review of Pulse Contour Analysis and Fourier Spectrum Analysis on the Photoplethysmography of Digit (지첨용적맥파의 파형분석과 주파수분석에 대한 문헌적 연구)

  • Nam, Tong-Hyun;Park, Young-Bae;Park, Young-Jae;Shin, Sang-Hoon
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.11 no.1
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    • pp.48-60
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    • 2007
  • Palpation of the pulse has been used in Korean traditional medicine since ancient times to assess physical health. Pulse wave contour may be obtained by measuring arterial pressure or blood volume change of skin. The latter is called as Photoplethysmography(PPG) or digital volume pulse(DVP). The PPG signal is measured by a device comprising an infrared light sourece and a photodetector. Although less widely used, this technique deserves further consideration because of its simplicity and ease of use. The contour of the PPG is formed as a result of a complex interaction between the left ventricle and the systemic circulation. It usually exhibits an early systolic peak and an early diastolic peak. the first peak is formed mainly by pressure trasmitted along a direct path from the left ventricle to the finger. The second peak is formed in part by pressure transmitted along the aorta and large arteries to sites of impedance mismatch in the lower body. The contour of the PPG is sensitive to changes in arterial tone and is influenced by ageing and large artery stiffness. Measurements taken directly from the PPG or from its second derivative can be used to assess these properties. In some mathematical approaches, the extraction of periodic components using frequency analysis was tried to analysis of the PPG. But we don't understand yet what kind of factor in the cardiovascular system or human body is related with the respective specific Fourier components of PPG. This review describes the background to measurement principles, representative contour, contour analysis and frequency domain analysis of PPG, and current and future.

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Saliency Detection based on Global Color Distribution and Active Contour Analysis

  • Hu, Zhengping;Zhang, Zhenbin;Sun, Zhe;Zhao, Shuhuan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.12
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    • pp.5507-5528
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    • 2016
  • In computer vision, salient object is important to extract the useful information of foreground. With active contour analysis acting as the core in this paper, we propose a bottom-up saliency detection algorithm combining with the Bayesian model and the global color distribution. Under the supports of active contour model, a more accurate foreground can be obtained as a foundation for the Bayesian model and the global color distribution. Furthermore, we establish a contour-based selection mechanism to optimize the global-color distribution, which is an effective revising approach for the Bayesian model as well. To obtain an excellent object contour, we firstly intensify the object region in the source gray-scale image by a seed-based method. The final saliency map can be detected after weighting the color distribution to the Bayesian saliency map, after both of the two components are available. The contribution of this paper is that, comparing the Harris-based convex hull algorithm, the active contour can extract a more accurate and non-convex foreground. Moreover, the global color distribution can solve the saliency-scattered drawback of Bayesian model, by the mutual complementation. According to the detected results, the final saliency maps generated with considering the global color distribution and active contour are much-improved.

A Miss Distance Image Analysis Technique Based On Object Contour (윤곽선 기반의 이격거리 영상해석 기법)

  • Park, Won-U;Choi, Ju-Ho;Yoo, Jun
    • Journal of the Korea Institute of Military Science and Technology
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    • v.1 no.1
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    • pp.238-248
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    • 1998
  • This paper presents an image analysis method for mearurement correction using the object contour based analysis, which measure the shape features of the imitation missile object. The image analysis is divided into object's tilting angle analysis and corner points detection. The tilting angle is calculated by edge extracting the region-of-interest image and by Radon transform it. The corner points are obtained by contour tracking of binary image and its curvature data processing and analysis. The ability of this presented method is simulated and evaluated by the results of accuracy testing.

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Histogram Analysis in Separated Region for Face Contour Extraction under Various Environmental Condition (다양한 환경 조건에서의 얼굴 윤곽선 영역 검출을 위한 분할 영역 히스토그램 분석)

  • Do, Jun-Hyeong;Kim, Keun-Ho;Kim, Jong-Yeol
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.47 no.1
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    • pp.1-8
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    • 2010
  • Some methods employing the Active Contour Model have been widely used to extract face contour. Their performance, however, depends on the initial position of the model and the coefficients of the energy function which should be reconsidered whenever illumination and environmental condition of an input image is changed. Additionally, the number of points in the contour model should increase drastically in order to extract a fine contour. In this paper, we thus propose a novel approach which extracts face contour by segmenting the face region with threshold values obtained by a histogram analysis technique in the separated region of input image. The proposed method shows good performance under various illumination and environmental condition since it extracts face contour by considering the characteristics of the input image.

Active Contour Model Based Object Contour Detection Using Genetic Algorithm with Wavelet Based Image Preprocessing

  • Mun, Kyeong-Jun;Kang, Hyeon-Tae;Lee, Hwa-Seok;Yoon, Yoo-Sool;Lee, Chang-Moon;Park, June-Ho
    • International Journal of Control, Automation, and Systems
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    • v.2 no.1
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    • pp.100-106
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    • 2004
  • In this paper, we present a novel, rapid approach for the detection of brain tumors and deformity boundaries in medical images using a genetic algorithm with wavelet based preprocessing. The contour detection problem is formulated as an optimization process that seeks the contour of the object in a manner of minimizing an energy function based on an active contour model. The brain tumor segmentation contour, however, cannot be detected in case that a higher gradient intensity exists other than the interested brain tumor and deformities. Our method for discerning brain tumors and deformities from unwanted adjacent tissues is proposed. The proposed method can be used in medical image analysis because the exact contour of the brain tumor and deformities is followed by precise diagnosis of the deformities.

Shapes of Vowel F0 Contours Influenced by Preceding Obstruents of Different Types - Automatic Analyses Using Tilt Parameters-

  • Jang, Tae-Yeoub
    • Speech Sciences
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    • v.11 no.1
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    • pp.105-116
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    • 2004
  • The fundamental frequency of a vowel is known to be affected by the identity of the preceding consonant. The general agreement is that strong consonants trigger higher F0 than weak consonants. However, there has been a disagreement on the shape of this segmentally affected F0 contours. Some studies report that shapes of contours are differentiated based on the consonant type, but others regard this observation as misleading. This research attempts to resolve this controversy by investigating shapes and slopes of F0 contours of Korean word level speech data produced by four male speakers. Instead of entirely relying on traditional human intuition and judgment, I employed an automatic F0 contour analysis technique known as tilt parameterisation (Taylor 2000). After necessary manipulation of an F0 contour of each data token, various parameters are collapsed into a single tilt value which directly indicates the shape of the contour. The result, in terms of statistical inference, shows that it is not viable to conclude that the type of consonant is significantly related to the shape of F0 contour. A supplementary measurement is also made to see if the slope of each contour bears meaningful information. Unlike shapes themselves, slopes are suspected to be practically more practical for consonantal differentiation, although confirmation is required through further refined experiments.

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Intonation Training System (Visual Analysis Tool) and the application of French Intonation for Korean Learners (컴퓨터를 이용한 억양 교육 프로그램 개발 : 프랑스어 억양 교육을 중심으로)

  • Yu, Chang-Kyu;Son, Mi-Ra;Kim, Hyun-Gi
    • Speech Sciences
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    • v.5 no.1
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    • pp.49-62
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    • 1999
  • This study is concerned with the educational program Visual Analysis Tool (VAT) for sound development for foreign intonation using personal computer. The VAT can run on IBM-PC 386 compatible or higher. It shows the spectrogram, waveform, intensity and the pitch contour. The system can work freely on either waveform zoom in-out or the documentation of measured value. In this paper, intensity and pitch contour information were used. Twelve French sentences were recorded from a French conversational tape. And three Korean participated in this study. They spoke out twelve sentences repeatly and trid to make the same pitch contour - by visually matching their pitcgh contour to the native speaker's. A sentences were recorded again when the participants themselves became familiar with intonation, intensity and pauses. The difference of pitch contour(rising or falling), pitch value, energy, total duration of sentences and the boundary of rhythmic group between native speaker's and theirs before and after training were compared. The results were as following: 1) In a declarative sentence: a native speaker's general pitch contour falls at the end of sentences. But the participant's pitch contours were flat before training. 2) In an interrogative: the native speaker made his pitch contours it rise at the end of sentences with the exception of wh-questions (qu'est-ce que) and a pitch value varied a greath. In the interrogative 'S + V' form sentences, we found the pitch contour rose higher in comparison to other sentences and it varied a great deal. 3) In an exclamatory sentence: the pitch contour looked like a shape of a mountain. But the participants could not make it fall before or after training.

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Effect of Orifice Shape in Contour Crafting using Finite-Element Analysis : A Study of Extrusion and Deposition Mechanisms (FEA(Finite Element Analysis)를 이용한 CC(Contour Crafting)의 노즐모양에 대한 연구)

  • Kwon, Hong-Kyu;Kim, Yong-Beom
    • Journal of the Korea Safety Management & Science
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    • v.8 no.4
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    • pp.91-107
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    • 2006
  • 본 논문은 Contour Crafting(CC) 프로세스의 압출과 적층 단계에서 물질 흐름의 형태를 연구하기 위한 실험과 모델링을 보여준다. 특히, 실험재료로써 진흙을 이용한 압출과 적층 메커니즘을 이해하기 위하여 기초적인 유한성분분석(FEA)을 실행하였다. FEA 시뮬레이션을 이용한, CC의 성능에 있어서 압출구멍의 기하학적인 효과에 대한 분명하고 기본적인 이해를 하게 되었다. 네모난 형상이 원하는 외부 표면특성을 만드는 것뿐만 아니라, 그리고 층간에 최적의 융합을 수행하는데 있어서 가장 적합하다는 것을 알아냈다. 우리의 실험은 이 결과들을 증명한다.