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    Wyświetlanie 1-3 z 3
    Tytuł:
    Determination of the Optimal Threshold Value and Number of Keypoints in Scale Invariant Feature Transform-based Copy-Move Forgery Detection
    Autorzy:
    Isnanto, R. Rizal
    Zahra, Ajub Ajulian
    Santoso, Imam
    Lubis, Muhammad Salman
    Powiązania:
    https://bibliotekanauki.pl/articles/227299.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    forgery
    Gaussian noise
    feature extraction
    pattern matching
    Euclidean distance
    Opis:
    The copy-move forgery detection (CMFD) begins with the preprocessing until the image is ready to process. Then, the image features are extracted using a feature-transform-based extraction called the scale-invariant feature transform (SIFT). The last step is features matching using Generalized 2 Nearest-Neighbor (G2NN) method with threshold values variation. The problem is what is the optimal threshold value and number of keypoints so that copy-move detection has the highest accuracy. The optimal threshold value and number of keypoints had determined so that the detection n has the highest accuracy. The research was carried out on images without noise and with Gaussian noise.
    Źródło:
    International Journal of Electronics and Telecommunications; 2020, 66, 3; 561-569
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Image Quality Assessment Using Edge Correlation
    Autorzy:
    Ruikar, J.
    Sinha, A.
    Chaudhury, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/226152.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    image quality assessment
    image quality metrics
    steerable Gaussian filter
    subjective assessment
    Opis:
    In literature, oriented filters are used for low-level vision tasks. In this paper, we propose use of steerable Gaussian filter in image quality assessment. Human visual system is more sensitive to multidirectional edges present in natural images. The most degradation in image quality is caused due to its edges. In this work, an edge based metric termed as steerable Gaussian filtering (SGF) quality index is proposed as objective measure for image quality assessment. The performance of the proposed technique is evaluated over multiple databases. The experimental result shows that proposed method is more reliable and outperform the conventional image quality assessment method.
    Źródło:
    International Journal of Electronics and Telecommunications; 2017, 63, 1; 99-107
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Improved Gaussian Mixture Probability Hypothesis Density for Tracking Closely Spaced Targets
    Autorzy:
    Zhang, H.
    Ge, H.
    Yang, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/227341.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    closely spaced targets
    random finite set
    probability hypothesis density filter
    Gaussian mixture PHD
    weight redistribution
    Opis:
    Probability hypothesis density (PHD) filter is a suboptimal Bayesian multi-target filter based on random finite set. The Gaussian mixture PHD filter is an analytic solution to the PHD filter for linear Gaussian multi-target models. However, when targets move near each other, the GM-PHD filter cannot correctly estimate the number of targets and their states. To solve the problem, a novel reweighting scheme for closely spaced targets is proposed under the framework of the GM-PHD filter, which can be able to correctly redistribute the weights of closely spaced targets, and effectively improve the multiple target state estimation precision. Simulation results demonstrate that the proposed algorithm can accurately estimate the number of targets and their states, and effectively improve the performance of multi-target tracking algorithm.
    Źródło:
    International Journal of Electronics and Telecommunications; 2017, 63, 3; 247-254
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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