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    Improved U-Net-Based Novel Segmentation Algorithm for Underwater Mineral Image

    Haolin Wang1, Lihui Dong1, Wei Song1,2,3,*, Xiaobin Zhao1,3, Jianxin Xia4, Tongmu Liu5

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1573-1586, 2022, DOI:10.32604/iasc.2022.023994

    Abstract Autonomous underwater vehicle (AUV) has many intelligent optical system, which can collect underwater signal information to make the system decision. One of them is the intelligent vision system, and it can capture the images to analyze. The performance of the particle image segmentation plays an important role in the monitoring of underwater mineral resources. In order to improve the underwater mineral image segmentation performance, some novel segmentation algorithm architectures are proposed. In this paper, an improved mineral image segmentation is proposed based on the modified U-Net. The pyramid upsampling module and residual module are bring into the U-Net model, which… More >

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