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Image classification learning device, image classification learning method and image classification learning system,

机译:图像分类学习装置,图像分类学习方法和图像分类学习系统,

摘要

PROBLEM TO BE SOLVED: To perform the classification of image data to be adaptable to each user's environment and to provide its classification method with a learning function.;SOLUTION: In this image classification learning device 10, an image acquisition part 11 acquires an image data group for classification from an image DB 17, and a representative image corresponding to a classified class is determined by a representative image determination part 12. An image retrieval part 13a of a case collection part 13 retrieves a similar image using the representative image as a query, and an image data extraction part 13b extracts case data from the acquired image data to be stored in a case data storage part 16. An identification function generation part 14 performs learning based on the extracted case data to calculate an identification function to determine the classification. An identification processing part 15 classifies the image data group into classes using the calculated identification function.;COPYRIGHT: (C)2010,JPO&INPIT
机译:解决的问题:对图像数据进行分类以适应每个用户的环境并为其分类方法提供学习功能。解决方案:在该图像分类学习装置10中,图像获取部11获取图像数据。图像DB 17中的用于分类的图像分组,并且由代表图像确定部件12确定与分类的类别相对应的代表图像。案例收集部件13的图像检索部件13a使用代表图像作为查询来检索相似图像。图像数据提取部分13b从获取的图像数据中提取病例数据,以存储在病例数据存储部分16中。识别功能生成部分14基于提取的病例数据进行学习以计算识别功能以确定分类。识别处理部分15使用计算出的识别函数将图像数据组分类为多个类别。COPYRIGHT:(C)2010,JPO&INPIT

著录项

  • 公开/公告号JP5212007B2

    专利类型

  • 公开/公告日2013-06-19

    原文格式PDF

  • 申请/专利权人 株式会社リコー;

    申请/专利号JP20080264058

  • 发明设计人 木原 酉華;小林 幸二;稲本 浩久;

    申请日2008-10-10

  • 分类号G06F17/30;

  • 国家 JP

  • 入库时间 2022-08-21 16:59:36

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