• 제목/요약/키워드: image analysis algorithm

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에지 화소들의 직선 정보를 이용한 허프변환 (Hough Transform Using Straight Line Information of Edge Pixels)

  • 김진태;오정수
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2017년도 추계학술대회
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    • pp.674-677
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    • 2017
  • 허프변환은 에지 화소를 대상으로 직선을 검출하는 가장 대표적인 알고리즘이다. 허프변환은 단순한 직선 영상에서는 우수한 성능을 보이나 잡음이 있거나 복잡한 영상에서는 상당한 계산량을 요구하고 쉽게 의사직선을 검출하는 문제를 갖고 있다. 본 논문은 기존 허프변환의 문제를 개선하기 위한 직선 검출 알고리즘을 제안한다. 제안된 알고리즘은 허프변환을 수행하기 전에 주성분 분석을 이용해 에지 화소의 직선 정보를 검출한다. 에지 화소의 직선 정보를 근거로 유효 에지 화소에서 제한된 기울기 영역의 허프변환을 수행한다. 모의실험 결과들은 제안된 알고리즘이 계산량을 크게 줄이는 것은 물론 의사직선도 제거하는 것을 보여주고 있다.

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전자현미경내 마이크로 절삭의 화상처리에 의한 절삭 기구 해석 (Analysis of Cutting Mechanism by Image Processing on Micro-Cutting in SEM)

  • 허성중
    • 한국공작기계학회논문집
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    • 제12권3호
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    • pp.89-95
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    • 2003
  • This research analyzes the cutting mechanism of A1100-H18 of commercially pure aluminum by image processing in SEM(Scanning Electron Microscope) for the measurement of strain rate distribution near a cutting edge in orthogonal micro-cutting. The distribution is measured using various methods in order. The methods are in-situ observations of cutting process in SEM, inputting image data, a computer image processing, calculating displacements by SSDA(Sequential Similarity Detection Algorithm) and calculating strain rates by FEM. The min results obtained are as follows: (1)It enables to measure a microscopic displacement near a cutting edge. (2) An application of this system to cutting process of various materials will help to make cutting mechanism clear.

PCAIW A VELET BASED WATERMARKING OF MULTISPECTRAL IMAGE

  • RANGSANSERI Y.;PANYAVARAPORN J.;THITIMAJSHIMA P.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.138-141
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    • 2005
  • In this paper, we propose a watermarking technique of multispectral images. In our method, the Principal Component Analysis (PCA) is preliminarily applied on the multispectral image. The most principal component image is used for embedding with a watermark, which is a pseudo-random number sequence generated with a secret key. The embedding process is performed in the wavelet domain. The resulting image is then reinserted into the principal component images, and the final multispectral image containing the watermark can be produced by the inverse PCA. Experimental results are provided to illustrate the performance of the algorithm against various kinds of attacks.

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초음파 진단영상 대조도 개선을 위한 확률 경계 맵을 이용한 연구 (A method for ultrasound image edge enhancement by using Probabilistic edge map)

  • 최우혁;박원환;박성윤
    • 대한한의진단학회지
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    • 제20권1호
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    • pp.37-44
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    • 2016
  • Ultrasonic imaging is the most widely modality among modern imaging device for medical diagnosis. Nevertheless, medical ultrasound images suffer from speckle noise and low contrast. In this paper, we propose probabilistic edge map for ultrasound image edge enhancement using automatic alien algorithm. The proposed method used applied speckle reduced ultrasound imaging for edge improvement using sequentially acquired ultrasound imaging. To evaluate the performance of method, the similarity between the reference and edge enhanced image was measured by quantity analysis. The experimental results show that the proposed method considerably improves the image quality with region edge enhancement.

Hiding Secret Data in an Image Using Codeword Imitation

  • Wang, Zhi-Hui;Chang, Chin-Chen;Tsai, Pei-Yu
    • Journal of Information Processing Systems
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    • 제6권4호
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    • pp.435-452
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    • 2010
  • This paper proposes a novel reversible data hiding scheme based on a Vector Quantization (VQ) codebook. The proposed scheme uses the principle component analysis (PCA) algorithm to sort the codebook and to find two similar codewords of an image block. According to the secret to be embedded and the difference between those two similar codewords, the original image block is transformed into a difference number table. Finally, this table is compressed by entropy coding and sent to the receiver. The experimental results demonstrate that the proposed scheme can achieve greater hiding capacity, about five bits per index, with an acceptable bit rate. At the receiver end, after the compressed code has been decoded, the image can be recovered to a VQ compressed image.

부분방전 패턴인식에 대한 BP 및 SOM 알고리즘 비교 분석 (Comparative Analysis of BP and SOM for Partial Discharge Pattern Recognition)

  • 이호근;김정태;임윤석;김지홍;구자윤
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 C
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    • pp.1930-1932
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    • 2004
  • SOM(Self Organizing Map) algorithm which has some advantages such as data accumulation ability and the degradation trend trace ability was compared with conventionally used BP(Back Propagation) algorithm. For the purpose, partial discharge data were acquired and analysed from the artificial defects in GIS. As a result, basically the pattern recognition rate of BP algorithm was found out to be better than that of SOM algorithm. However, SOM algorithm showed a great on-site-applicability such as ability of suggesting new-pattern-possibility. Therefore, through increasing pattern recognition rate it is possible to apply SOM algorithm to partial discharge analysis. Also, for the image processing method it is required the normalization of the PRPDA graph. However, due to the normalization both BP and SOM algorithm have shown worse results, so that it is required further study to solve the problem.

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컬러 영상 분석을 통한 치석의 정량적 평가 (Quantitative Assessment of Denticulus by Color Image Analysis)

  • 신승원;이선주;이성택;김경섭
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 심포지엄 논문집 정보 및 제어부문
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    • pp.129-130
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    • 2008
  • In this study, we implement the color image processing algorithm to analyze the quantitative assessment of denticulus by computing spectral characteristics in HGB color domain. We can observe that we can utilize the normalized HGB color feature to assess the quantitative formation of denticulus.

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AGV의 장애물 판별을 위한 스테레오 비젼시스템의 거리오차 해석 (Analysis of Distance Error of Stereo Vision System for Obstacle Recognition System of AGV)

  • 조연상;배효준;원두원;박흥식
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2001년도 춘계학술대회 논문집
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    • pp.170-173
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    • 2001
  • To apply stereo vision system to obstacle recognition system of AGV, we constructed algorithm of stereo matching and distance measuring with stereo image for positioning of object in area. And using this system, we look into the error between real position and measured position, and studied relationship of compensation.

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방사선 치료 계획 장치를 위한 의료 영상의 3차원적 자동 경계선 검출에 관한 연구 (A Study on 3Dimensional Automatic Boundaries Detection on Medical Images or Radiation Therapy Planning)

  • 최은진;서의영
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 추계학술대회
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    • pp.172-175
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    • 1997
  • Outline contour is detected firstly to simulate dose distribution in radiation therapy planning system. In this paper, we developed automatic contour detection system using temporal and spatial relationships of image sequences. The low level image analysis involves the use of directional gradient edge operators and Laplacian operator. The High level portion of algorithm uses a knowledge-based strategy that incorporates fuzzy resoning method.

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비젼을 이용한 SMD 부품의 위치 및 자세 계측 (High accuracy measurement of the position and orientation of SMD VR by Computer Vision)

  • 김병엽;송재용;한창수;박종현;이영민
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 춘계학술대회 논문집
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    • pp.371-376
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    • 1995
  • Computer vision is applicated to measure the position and orientation of the SMD on 8mm Camcoder PCB and advanced image processing algorithms for high accuracy and real time processing are proposed. Illumination conditions are optimized for the best image formation and a set of LEDs is used as economic illuminator, which is regarded as a summation of many point sources. Conctete optical system is constructed and the performance of the proposed algorithm is verified by several experiments.

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