首页> 外国专利> Learning method and learning apparatus for image segmentation, and image segmentation method and image segmentation apparatus using the same

Learning method and learning apparatus for image segmentation, and image segmentation method and image segmentation apparatus using the same

机译:用于图像分割的学习方法和学习装置,以及使用该方法的图像分割方法和图像分割装置

摘要

A learning method for improving image segmentation including steps of: (a) acquiring a (1-1)-th to a (1-K)-th feature maps through an encoding layer if a training image is obtained; (b) acquiring a (3-1)-th to a (3-H)-th feature maps by respectively inputting each output of the H encoding filters to a (3-1)-th to a (3-H)-th filters; (c) performing a process of sequentially acquiring a (2-K)-th to a (2-1)-th feature maps either by (i) allowing the respective H decoding filters to respectively use both the (3-1)-th to the (3-H)-th feature maps and feature maps obtained from respective previous decoding filters of the respective H decoding filters or by (ii) allowing respective K-H decoding filters that are not associated with the (3-1)-th to the (3-H)-th filters to use feature maps gained from respective previous decoding filters of the respective K-H decoding filters; and (d) adjusting parameters of CNN.
机译:一种用于改善图像分割的学习方法,包括以下步骤:(a)如果获得训练图像,则通过编码层获取第(1-1)至(1-K)个特征图。 (b)通过将H编码滤波器的每个输出分别输入到第(3-1)到(3-H)-来获得第(3-1)到第(3-H)-特征图。过滤器(c)通过(i)允许各个H解码滤波器分别使用(3-1)-两者,执行顺序获取第(2-K)至第(2-1)特征图的过程。到第(3-H)个特征图和从各个H个解码滤波器的各个先前解码滤波器获得的特征图,或者通过(ii)允许与第(3-1)个不相关的各个KH解码滤波器到第(3-H)滤波器以使用从各个KH解码滤波器的各个先前解码滤波器获得的特征图; (d)调整CNN的参数。

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