• Title/Summary/Keyword: edge feature

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The Binarization of Text Regions in Natural Scene Images, based on Stroke Width Estimation (자연 영상에서 획 너비 추정 기반 텍스트 영역 이진화)

  • Zhang, Chengdong;Kim, Jung Hwan;Lee, Guee Sang
    • Smart Media Journal
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    • v.1 no.4
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    • pp.27-34
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    • 2012
  • In this paper, a novel text binarization is presented that can deal with some complex conditions, such as shadows, non-uniform illumination due to highlight or object projection, and messy backgrounds. To locate the target text region, a focus line is assumed to pass through a text region. Next, connected component analysis and stroke width estimation based on location information of the focus line is used to locate the bounding box of the text region, and each box of connected components. A series of classifications are applied to identify whether each CC(Connected component) is text or non-text. Also, a modified K-means clustering method based on an HCL color space is applied to reduce the color dimension. A text binarization procedure based on location of text component and seed color pixel is then used to generate the final result.

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Cooling Characteristics of Wing Fin Heat Sink (익형 핀 히트싱크의 냉각특성)

  • 유갑종;박철우;장충선;김현우
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.16 no.8
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    • pp.728-740
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    • 2004
  • Heat sink has extended surface area for enhanced heat transfer. The enhanced convection heat transfer has been used widely, such as cooling electronic chips in the electronics industry. Heat sink usually requires an increase in the heat transfer and a decrease in the pressure drop, and must improve the performance in the flow field of industrial plants. In this study, wing fin heat sink was studied and tests were conducted in a rectangular cross sectional channel with wing fin heat sinks. The leading and trailing ends of a wing fin have a sharp edge, simulating the airfoil feature. Empirical correlations have been developed for wing fin heat sink types. And wing fin heat sinks have better cooling performance than elliptic fin and square fin types.

Facial Feature Extraction and Tracking using Edge Information and Template Deformation (에지 정보와 형판 변형을 이용한 얼굴 특징 추출과 특지의 추적)

  • 박주철;최형일
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.03a
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    • pp.157-160
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    • 1998
  • 본 논문에서는 동영상으로부터 에지 정보와 형판 변형을 통해 얼굴의 추출하고 그 특징을 기반으로 하는 추적 기법을 제안한다. 본 논문에서 제안하는 추적기법은 추출된 특징에 기반을 추적 지법으로 초기에 모자익 영상을 이용하여 얼굴 부분을 찾고 찾아진 얼굴 부분에 에지 연산자를 적용하여 에지를 추출한다. 에지 영상이 얻어지면 에지 영상에서 영역의 크기와 모양, 그리고 관계 검증을 통해 대략적인 눈 영역을 추출한다. 눈 영역이 찾아지면 이를 바탕으로 입 영역에 대한 후보 영역에 대하여 이진화를 수행하고 히스토그램 프로젝션을 통해 대략적인 입 영역을 추출한다. 추출된 눈 영역과 입 영역에 각각의 형판을 사용해 형판 변형을 하고 초기 매개변수를 추출한다. 추출된 매개변수는 다음 프레임에서 형판의 초기 값으로 사용된다. 그리고 나서 형판에 대하여 변형(deformation) 과정을 수행한다. 이 과정을 반복함으로써 추적 과정을 수행한다.

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Object Tracking Algorithm for Multimedia System

  • Kim, Yoon-ho;Kwak, Yoon-shik;Song, Hag-hyun;Ryu, Kwang-Ryol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.11a
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    • pp.217-221
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    • 2002
  • In this paper, we propose a new scheme of motion tracking based on fuzzy inference (FI)and wavelet transform (WT) from image sequences. First, we present a WT to segment a feature extraction of dynamic image . The coefficient matrix for 2-level DWT tent to be clustered around the location of important features in the images, such as edge discontinuities, peaks, and corners. But these features are time varying owing to the environment conditions. Second, to reduce the spatio-temporal error, We develop a fuzzy inference algorithm. Some experiments are peformed to testify the validity and applicability of the proposed system. As a result, proposed method is relatively simple compared with the traditional space domain method. It is also well suited for motion tracking under the conditions of variation of illumination.

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A study of face detection using color component (색상요소를 고려한 얼굴검출에 대한 연구)

  • 이정하;강진석;최연성;김장형
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.11a
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    • pp.240-243
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    • 2002
  • In this paper, we propose a face region detection based on skin-color distribution and facial feature extraction algorithm in color still images. To extract face region, we transform color using general skin-color distribution. Facial features are extracted by edge transformation. This detection process reduces calculation time by a scale-down scanning from segmented region. we can detect face region in various facial Expression, skin-color deference and tilted face images.

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Organic Acid-Based Wet Chemical Etching of Amorphous Ga-Doped Zinc Oxide Films on Glass and PET substrates

  • Lee, Dong-Kyoon;Lee, Seung-Jung;Bang, Jung-Sik;Park, Mun-Gi;Yang, Hee-Sun
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.1408-1411
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    • 2009
  • This paper describes organic acid-based wet chemical etching behaviors of amorphous Ga-doped zinc oxide (GZO) thin film sputter-deposited at low temperature (room temperature). Wet etch parameters such as etching time, temperature, and etchant concentration are investigated for formic and citric acid etchants, and their effects on the etch rate, etch residue and the feature of edge line are compared.

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Exact Contour Extraction of Buildings in Aerial Image (항공 영상에서의 평평한 사각형 건물의 정확한 경계 추출)

  • Lee, Jae-Bum;Um, Gi-Mun;Lee, Kwae-Hi
    • Proceedings of the KIEE Conference
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    • 1995.07b
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    • pp.934-936
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    • 1995
  • To get a good result of the feature-based stereo matching, contour of buildings must be extracted exactly. In this paper, an algorithm that extracts contour of flat top buildings exactly is proposed. The Algorithm is composed of three steps. One is to find corner points of 4 types in whole image and another is to extract exact lines between coners by edge following technique, the third is to extract exact contour of buildings using binding structures. We have a good result in extracting contour of buildings.

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A Product Information Model based on Design Process for Enterprise Integration (기업통합을 위한 설계프로세스 기반의 제품정보모델)

  • 김종수
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.22 no.52
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    • pp.229-239
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    • 1999
  • Enterprise integration, which aims to enhance an enterprise's competitive edge, requires a highly structured product information model as a common product database. Previous research works on this issue have been narrowly focused on the transformation of product information between various operation areas, leading to a situation where enterprise integration lacks a formal method of information modeling. In this paper, research works and issues surrounding product information modeling for enterprise integration are reviewed, and the requirements for a product information model are identified. A product information model called L3DPIM (Layered Three Dimentional Product Information Model) is proposed, which is based on a feature-based design process. This model is expected to serve as a modeling paradigm for enterprise integration.

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The Electrical Properties of Self-Aligned High Speed Bipolar Transistor (자기정렬된 고속 바이폴라 트랜지스터의 전기적 특성)

  • 구용서;최상훈;구진근;이진효
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.24 no.5
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    • pp.786-793
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    • 1987
  • This paper describes the design and fabrication of the polysilicon selfaligned bipolar transistor with 1.6\ulcorner epitaxy and SWAMI isolation technologies. This transistor has two levels of polysilicon. Also emitter and adjacent edge of polysilicon base contact of this PSA device are defined by the same mask, and emitter feature size is 2x4 \ulcorner. DC characteristic of the fabricated transistor was evaluated and analyzed for the SPICE input parameters. The minimum propagation delay time per gate of 330 ps at 1mW was obtained with 41 stage CML ring oscillator.

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Object Recognition Algorithm with Partial Information

  • Yoo, Suk Won
    • International Journal of Advanced Culture Technology
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    • v.7 no.4
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    • pp.229-235
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    • 2019
  • Due to the development of video and optical technology today, video equipments are being used in a variety of fields such as identification, security maintenance, and factory automation systems that generate products. In this paper, we investigate an algorithm that effectively recognizes an experimental object in an input image with a partial problem due to the mechanical problem of the input imaging device. The object recognition algorithm proposed in this paper moves and rotates the vertices constituting the outline of the experimental object to the positions of the respective vertices constituting the outline of the DB model. Then, the discordance values between the moved and rotated experimental object and the corresponding DB model are calculated, and the minimum discordance value is selected. This minimum value is the final discordance value between the experimental object and the corresponding DB model, and the DB model with the minimum discordance value is selected as the recognition result for the experimental object. The proposed object recognition method obtains satisfactory recognition results using only partial information of the experimental object.