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From the image where the multiple fields which become the study

机译:从图像中成为研究领域的多个领域

摘要

A learning-type classifying apparatus comprises defective region extracting means 101 for extracting defective regions of classification targets from an image in which the plurality of regions of the classification targets are present, characteristic value calculating means 102 for calculating characteristic values for the extracted regions of the classification targets, classifying means 103 for classifying the extracted regions of the classification targets into predetermined classes on the basis of the calculated characteristic values, region integrating means 104 for integrating the regions which belong to the same class as a result of the classification, display means 108 for displaying images of the integrated regions and the classification results, input means 109 for correcting errors in the classification results, and teacher data creating means 105 for creating teacher data for each of the regions so that the classification results of the integrated regions are reflected in each region included in the integrated regions.
机译:一种学习型分类设备,包括:缺陷区域提取装置101,用于从存在多个分类目标的区域的图像中提取分类目标的缺陷区域;特征值计算装置102,用于计算针对所述目标的提取区域的特征值。分类目标,分类装置103,用于基于计算出的特征值将分类目标的提取区域分类为预定类别;区域合并装置104,用于对作为分类结果的属于同一类别的区域进行合并;显示装置用于显示整合区域的图像和分类结果的108,用于校正分类结果中的误差的输入装置109以及用于为每个区域创建教师数据的教师数据创建装置105,以反映整合区域的分类结果在e每个区域都包含在集成区域中。

著录项

  • 公开/公告号JP3834041B2

    专利类型

  • 公开/公告日2006-10-18

    原文格式PDF

  • 申请/专利权人 オリンパス株式会社;

    申请/专利号JP20040107738

  • 发明设计人 神田 大和;

    申请日2004-03-31

  • 分类号G06T7;G06F17/30;G06N3;G01N21/88;

  • 国家 JP

  • 入库时间 2022-08-21 21:52:42

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