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Information Journal Paper

Title

IMPROVEMENT OF INDUSTRIAL RADIOGRAPHY FOR DEFECT DETECTION OF OIL AND GAS PIPELINES IN WELD REGIONS BY IMAGE PROCESSING

Pages

  51-58

Abstract

 Motion estimation and compensation are main stages in hybrid video coding standards. Due to structural simplicity the block-matching motion estimation is the most used method in digital video technology. In recent years the mesh-based motion estimation is considered by the researchers because of its more complex motion models and lack of blocking artifacts. However, mesh-based motion estimation suffers from error propagation and weak performance in noisy and brightness varying conditions. In this paper motion adaptive interpolation functions are proposed for the mesh-based motion estimation to overcome these problems. The simulation results show the better robustness of the proposed scheme against noise and brightness variations, not only regarding to mesh-based but also block-matching motion estimation techniques.

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    APA: Copy

    KARIMIAN, A., TORABIAN, M., & YAZDCHI, M.. (2009). IMPROVEMENT OF INDUSTRIAL RADIOGRAPHY FOR DEFECT DETECTION OF OIL AND GAS PIPELINES IN WELD REGIONS BY IMAGE PROCESSING. JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER), 1(1), 51-58. SID. https://sid.ir/paper/186479/en

    Vancouver: Copy

    KARIMIAN A., TORABIAN M., YAZDCHI M.. IMPROVEMENT OF INDUSTRIAL RADIOGRAPHY FOR DEFECT DETECTION OF OIL AND GAS PIPELINES IN WELD REGIONS BY IMAGE PROCESSING. JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER)[Internet]. 2009;1(1):51-58. Available from: https://sid.ir/paper/186479/en

    IEEE: Copy

    A. KARIMIAN, M. TORABIAN, and M. YAZDCHI, “IMPROVEMENT OF INDUSTRIAL RADIOGRAPHY FOR DEFECT DETECTION OF OIL AND GAS PIPELINES IN WELD REGIONS BY IMAGE PROCESSING,” JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER), vol. 1, no. 1, pp. 51–58, 2009, [Online]. Available: https://sid.ir/paper/186479/en

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