首页> 外国专利> NETWORK ARCHITECTURE FOR AUTOMATICALLY PROCESSING IMAGES, PROGRAM CARRIER, AND WORKSTATION

NETWORK ARCHITECTURE FOR AUTOMATICALLY PROCESSING IMAGES, PROGRAM CARRIER, AND WORKSTATION

机译:用于自动处理图像,程序运营商和工作站的网络架构

摘要

Disclosed is a network architecture (1) for automatically processing images, the architecture comprising: an input module (11) for inputting an image to be processed; an encoding path (12), which is configured to use a dual-path network to perform feature extraction on an inputted image; a decoding path (14), which is configured to establish a connection with the encoding path (12); a central module (13), which is configured as transition from the encoding path (12) to the decoding path (14) so as to refine high-dimensional image features; and an output module (15), which is configured to output an image processing result from the decoding path (14). The decoding path (14) is configured to use a decoding path of a Unet architecture to decode a corresponding encoding result of the encoding path (12) as well as the image feature extraction result of the central module (13). Also disclosed are a corresponding method, a corresponding program carrier, and a corresponding workstation. According to the present invention, better image segmentation and classification can be performed.
机译:公开了一种用于自动处理图像的网络架构(1),该架构包括:输入模块(11),用于输入要处理的图像;编码路径(12),其被配置为使用双路径网络在输入的图像上执行特征提取;解码路径(14),其被配置为与编码路径(12)建立连接;中央模块(13),其被配置为从编码路径(12)到解码路径(14)的转换,以便优化高维图像特征;和输出模块(15),其被配置为输出来自解码路径(14)的图像处理结果。解码路径(14)被配置为使用UNET架构的解码路径来解码编码路径(12)的相应编码结果以及中央模块(13)的图像特征提取结果。还公开了一种相应的方法,相应的程序载体和相应的工作站。根据本发明,可以执行更好的图像分割和分类。

著录项

  • 公开/公告号WO2022007957A1

    专利类型

  • 公开/公告日2022-01-13

    原文格式PDF

  • 申请/专利权人 MEDMIND TECHNOLOGY CO. LTD.;

    申请/专利号WO2021CN105538

  • 发明设计人 WANG SHAOBIN;CHEN QI;CHEN YU;

    申请日2021-07-09

  • 分类号G06T7;

  • 国家 CN

  • 入库时间 2022-08-24 23:22:29

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