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Machine learning data generation method, machine learning data generation program, machine learning data generation system, server device, image processing method, image processing program, and image processing system

机译:机器学习数据生成方法,机器学习数据生成程序,机器学习数据生成系统,服务器设备,图像处理方法,图像处理程序和图像处理系统

摘要

Provided are a machine learning data generation method, a machine learning data generation program, a machine learning data generation system, a server device, an image processing method, an image processing program, and an image processing system, which realize learning for growing an extraction target having continuity. The input image (40) including the extraction target (44) having continuity is acquired, the first image processing for extracting the extraction target from the input image is performed on the input image, and the extraction target (54) is extracted from the input image. A second image (60) in which the first image (50) is generated, the second image processing for extracting the extraction target from the input image is performed on the input image, and the extraction target (64) is extracted from the input image, A second image having a larger area to be extracted than one image is generated, and the conversion relationship from the first image to the second image is stored as machine learning data.
机译:提供了一种机器学习数据生成方法,机器学习数据生成程序,机器学习数据生成系统,服务器设备,图像处理方法,图像处理程序和图像处理系统,其实现了用于提取提取物的学习。目标具有连续性。获取包括具有连续性的提取目标(44)的输入图像(40),对输入图像执行用于从输入图像提取提取目标的第一图像处理,并且从输入中提取提取目标(54)。图片。生成第一图像(50)的第二图像(60),对输入图像进行用于从输入图像中提取提取目标的第二图像处理,并且从输入图像中提取提取目标(64)。之后,生成具有比一个图像更大的要被提取的面积的第二图像,并且从第一图像到第二图像的转换关系被存储为机器学习数据。

著录项

  • 公开/公告号JPWO2019009007A1

    专利类型

  • 公开/公告日2020-04-16

    原文格式PDF

  • 申请/专利权人 富士フイルム株式会社;

    申请/专利号JP20190527595

  • 发明设计人 與那覇 誠;藏之下 正志;

    申请日2018-06-07

  • 分类号G06T7;

  • 国家 JP

  • 入库时间 2022-08-21 11:32:10

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