• 제목/요약/키워드: Matrix Pattern Image

검색결과 64건 처리시간 0.022초

블록 컬러 특징과 패턴의 공간적 상관성을 이용한 영상 검색 (Image retrieval using block color characteristics and spatial pattern correlation)

  • 채석민;김태수;김승진;이건일
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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    • pp.9-11
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    • 2005
  • We propose a new content-based image retrieval using a block color co-occurrence matrix (BCCM) and pattern correlogram. In the proposed method, the color feature vectors are extracted by using BCCM that represents the probability of the co-occurrence of two mean colors within blocks. Also the pattern feature vectors are extracted by using pattern correlogram which is combined with spatial correlation of pattern. In the proposed pattern correlogram method. after block-divided image is classified into 48 patterns with respect to the change of the RGB color of the image, joint probability between the same pattern from the surrounding blocks existing at the fixed distance and the center pattern is calculated. Experimental results show that the proposed method can outperform the conventional methods as regards the precision and the size of the feature vector dimension.

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이치화 영상에 대한 계조치 동시발생행렬을 이용한 타이어 접지 패턴의 분류 (Tire tread pattern classification using gray level cooccurrence matrix for the binary image)

  • 박귀태;김민기;김진헌;정순원
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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    • pp.100-105
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    • 1992
  • Texture is one of the important characteristics that has been used to identify objects or regions of interest in an image. Tire tread patterns can be considered as a kind of texture, and these are classified with a texture analysis method. In this sense, this paper proposes a new algorithm for the classification of tire tread pattern. For the classification, cooccurrence matrix for the binary image is used. The performances are tested by experimentally 8 different tire tread pattern and the robustness is examined by including some kinds on noise.

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A New Shape Adaptation Scheme to Affine Invariant Detector

  • Liu, Congxin;Yang, Jie;Zhou, Yue;Feng, Deying
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제4권6호
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    • pp.1253-1272
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    • 2010
  • In this paper, we propose a new affine shape adaptation scheme for the affine invariant feature detector, in which the convergence stability is still an opening problem. This paper examines the relation between the integration scale matrix of next iteration and the current second moment matrix and finds that the convergence stability of the method can be improved by adjusting the relation between the two matrices instead of keeping them always proportional as proposed by previous methods. By estimating and updating the shape of the integration kernel and differentiation kernel in each iteration based on the anisotropy of the current second moment matrix, we propose a coarse-to-fine affine shape adaptation scheme which is able to adjust the pace of convergence and enable the process to converge smoothly. The feature matching experiments demonstrate that the proposed approach obtains an improvement in convergence ratio and repeatability compared with the current schemes with relatively fixed integration kernel.

각막과 수정체의 Photoreflection Pattern 측정기구 개발 (The Measurements of the Photoreflection Pattern for Cornea and Crystalline)

  • 김용근;박동화
    • 한국안광학회지
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    • 제3권1호
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    • pp.201-207
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    • 1998
  • 눈의 cornea, crystalline의 reflection pattern을 알기 위해 matrix를 이용하여 image의 위치, size를 이론적으로 계산하였고, 3개의 light source와 reflex camera를 이용하여 reflection pattern를 측정할 수 있는 system을 만들었다. 단일 광원을 이용하여 retina에서 반사 pattern으로부터 눈의 원시 및 근시 등을 측정하였고, 2개의 광원을 이용한 reflection pattern으로부터 cornea, crystalline의 curvature를 측정하였다.

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매트릭스 패턴 영상의 관심 영역 추출 방법 및 하드웨어 구현 (Region of Interest Extraction Method and Hardware Implementation of Matrix Pattern Image)

  • 조호상;김근준;강봉순
    • 한국정보통신학회논문지
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    • 제19권4호
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    • pp.940-947
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    • 2015
  • 본 논문에서는 기존의 터치 센서방법과 초음파나 레이저를 사용하는 방법이 아닌 디스플레이에 프린트된 매트릭스 패턴 영상을 이용하여 위치 정보를 추출하는 시스템의 패턴 영상의 특징점을 찾고 관심 영역의 영상을 추출하는 방법을 제안하였다. 제안하는 방법은 패턴 영상의 조도값과 패턴의 특징을 이용하여 촬영된 영상의 회전된 각도와 신뢰성 있는 특징점을 찾고 관심영역을 추출한다. 성공적인 관심 영역 추출을 위해서 다양한 각도에서 판서된 패턴영상을 이용하여 위치 관심영역 추출을 테스트하였고 성공적으로 관심영역을 추출하는 것을 확인하였다. 제안한 알고리즘은 OpenCV와 Window 프로그램을 사용하여 소프트웨어적으로 검증하고, 또한, Verilog-HDL을 사용하여 하드웨어 시스템을 설계하고, Xilinx FPGA(xc6vlx760) 보드를 이용하여 검증하였다.

Research on Camouflaged Encryption Scheme Based on Hadamard Matrix and Ghost Imaging Algorithm

  • Leihong, Zhang;Yang, Wang;Hualong, Ye;Runchu, Xu;Dawei, Zhang
    • Current Optics and Photonics
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    • 제5권6호
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    • pp.686-698
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    • 2021
  • A camouflaged encryption scheme based on Hadamard matrix and ghost imaging is proposed. In the process of the encryption, an orthogonal matrix is used as the projection pattern of ghost imaging to improve the definition of the reconstructed images. The ciphertext of the secret image is constrained to the camouflaged image. The key of the camouflaged image is obtained by the method of sparse decomposition by principal component orthogonal basis and the constrained ciphertext. The information of the secret image is hidden into the information of the camouflaged image which can improve the security of the system. In the decryption process, the authorized user needs to extract the key of the secret image according to the obtained random sequences. The real encrypted information can be obtained. Otherwise, the obtained image is the camouflaged image. In order to verify the feasibility, security and robustness of the encryption system, binary images and gray-scale images are selected for simulation and experiment. The results show that the proposed encryption system simplifies the calculation process, and also improves the definition of the reconstructed images and the security of the encryption system.

An Application of a Parallel Algorithm on an Image Recognition

  • Baik, Ran
    • Journal of Multimedia Information System
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    • 제4권4호
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    • pp.219-224
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    • 2017
  • This paper is to introduce an application of face recognition algorithm in parallel. We have experiments of 25 images with different motions and simulated the image recognitions; grouping of the image vectors, image normalization, calculating average image vectors, etc. We also discuss an analysis of the related eigen-image vectors and a parallel algorithm. To develop the parallel algorithm, we propose a new type of initial matrices for eigenvalue problem. If A is a symmetric matrix, initial matrices for eigen value problem are investigated: the "optimal" one, which minimize ${\parallel}C-A{\parallel}_F$ and the "super optimal", which minimize ${\parallel}I-C^{-1}A{\parallel}_F$. In this paper, we present a general new approach to the design of an initial matrices to solving eigenvalue problem based on the new optimal investigating C with preserving the characteristic of the given matrix A. Fast all resulting can be inverted via fast transform algorithms with O(N log N) operations.

데이터 매트릭스와 비밀 키를 이용한 하이브리드 워터마킹 방법 (Hybrid Watermarking Scheme using a Data Matrix and Secret Key)

  • 전성구;김일환
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
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    • pp.144-146
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    • 2006
  • The Data Matrix of two-dimensional bar codes is a new technology capable of holding relatively large amounts of data compared to the conventional one-dimensional bar code which is just a key that can access detailed information to the host computer database. A secret key is used to prevent a watermark from malicious attacks. We encoded copyright information into a Data Matrix bar code for encoding process and it was spread a pseudo random pattern using owner key. We embedded a randomized watermark into the image using watermark's embedding position, pattern generated with a secret key. The experimental results have shown that the proposed scheme has good quality and is very robust to various attacks, such as JPEG compression and noise. Also the performance of the proposed scheme is verified by comparing the copyright information with the information which is extracted from a bar code scantier.

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A new contrast ratio measurement method using image patterns

  • Choi, Dong-Wook;Yang, Sun-A;Bae, Jae-Woo;Lee, Seung-Bae;Chung, Ho-Kyoon
    • Journal of Information Display
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    • 제12권2호
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    • pp.85-87
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    • 2011
  • The contrast ratio is one of the most important performance parameters for display devices. The general method of measuring the contrast ratio is to determine the ratio of the full-screen white pattern to the full-screen black pattern, according to the Video Electronics Standards Association standard. Real TV images seldom have these images, however, and the conventional method does not reflect the true performance of the display in actual use. In this paper, a new contrast ratio measurement method that uses image patterns is proposed, to demonstrate that active matrix organic light-emitting diode TVs have a higher contrast than LED (LCD) TVs.

SVD 및 트리플릿 기반의 디지털 워터마킹 기법 (Digital Watermarking Scheme based on SVD and Triplet)

  • 박병수;추형석;안종구
    • 전기학회논문지
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    • 제58권5호
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    • pp.1041-1046
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    • 2009
  • In this paper, we proposed a robust watermark scheme for image based on SVD(Singular Value Transform) and Triplet. First, the original image is decomposed by using 3-level DWT, and then used the singular values changed for embedding and extracting of the watermark sequence in LL3 band. Since the matrix of singular values is not easily altered with various signal processing noises, the embedded watermark sequence has the ability to withstand various signal processing noise attacks. Nevertheless, this method does not guarantee geometric transformation(such as rotation, cropping, etc.) because the geometric transformation changes the matrix size. In this case, the watermark sequence cannot be extracted. To compensate for the above weaknesses, a method which uses the triplet for embedding a barcode image watermark in the middle of frequency band is proposed. In order to generate the barcode image watermark, the pattern of the watermark sequence embedded in a LL3 band is used. According to this method, the watermark information can be extracted from attacked images.