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No-Reference Image Mosaicing Method Based on the Generalized Evidence Theory

机译:基于广义证据理论的无参考图像镶嵌方法

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No-reference image quality assessment is the future research direction in the field of image evaluation. A new no-reference image quality assessment based on the generalized evidence theory was proposed in this paper in order to deal with the measuring problem of the large scale samples under the optical microscope. The generalized basic probability assignment was generated by the triangular fuzzy numbers, based on the mean structural similarity. The decision was obtained by fusing the basic probability assignment with the generalized evidence theory.
机译:无参考图像质量评估是图像评估领域的未来研究方向。本文提出了一种基于广义证据理论的新的无参考图像质量评估,以处理光学显微镜下大型样品的测量问题。基于平均结构相似性,通过三角模糊数产生广义的基本概率分配。通过融合与广义证据理论的基本概率分配来获得该决定。

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