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Research on high precision matching optimization method and software testing analysis of regions with fuzzy details of multimedia images in cloud environment

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Abstract

Aiming for the low matching precision caused by the inaccurate segmentation of the region with fuzzy details when traditional methods are used for the matching of regions with fuzzy details in the multimedia images, a new high precision matching optimization method for regions with fuzzy details of multimedia images in cloud environment is proposed, LPP feature of the region with fuzzy details is extracted to calculate the similarity of features; using binary tree segmentation algorithm to segment the multimedia image region, through the combination of UFM improved algorithm and fuzzy binary tree structure to achieve the matching of fuzzy region based on fuzzy similarity, the optimized matching method is programmed, afterwards, the software is tested. The experimental results show that the proposed method has high matching accuracy.

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  1. Computer Science and Technology, Yanshan University, Qinhuangdao, Hebei, 066004, China

    Jianxin Ge & Jiaomin Liu

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  1. Jianxin Ge
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  2. Jiaomin Liu
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Correspondence to Jianxin Ge.

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Ge, J., Liu, J. Research on high precision matching optimization method and software testing analysis of regions with fuzzy details of multimedia images in cloud environment. Multimed Tools Appl 76, 17019–17035 (2017). https://doi.org/10.1007/s11042-016-3668-8

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  • DOI: https://doi.org/10.1007/s11042-016-3668-8

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