首页> 外国专利> Image recognition method using a similarity detection method and the detection value thereof of the image, as well as speech recognition method using the similarity detection method and the detection value thereof voice, as well as a similarity detection method and the detection value thereof of the vibration wave machine abnormality determination method using, as well as video recognition method using the similarity detection method and the detection value thereof of a moving image, as well as three-dimensional recognition method using similarity detection method and the detection value thereof stereoscopic

Image recognition method using a similarity detection method and the detection value thereof of the image, as well as speech recognition method using the similarity detection method and the detection value thereof voice, as well as a similarity detection method and the detection value thereof of the vibration wave machine abnormality determination method using, as well as video recognition method using the similarity detection method and the detection value thereof of a moving image, as well as three-dimensional recognition method using similarity detection method and the detection value thereof stereoscopic

机译:使用图像的相似度检测方法及其检测值的图像识别方法,以及使用相似度检测方法及其语音检测值的语音识别方法,以及振动的相似度检测方法及其检测值使用运动机器的波动机器异常确定方法以及使用相似度检测方法及其视频检测值的视频识别方法,以及使用相似度检测方法及其三维检测值的三维识别方法

摘要

Disclosed is a method for obtaining an accurate detected value of a similarity between images or the like. Original standard and input pattern matrices, each having a feature quantity of an image as an element, are created (Sb1 and Sb3). A weighting vector having a value of a change rate of a kurtosis of a reference pattern vector composed of a reference shape as an element is created, and an original and weighted standard pattern matrix is calculated by a product-sum operation of an element value of the weighting vector and an element value of the original standard pattern matrix (Sb2). Then, an original and weighted input pattern matrix is calculated by a product-sum operation of the element value of the same weighting vector and an element value of the original input pattern matrix (Sb4), and a geometric distance value between the original standard pattern matrix and the original input pattern matrix is calculated as a cosine of an angle between the original and weighted standard pattern matrix and the original and weighted input pattern matrix (Sb5).
机译:公开了一种用于获得图像等之间的相似度的准确检测值的方法。创建各自具有图像的特征量作为元素的原始标准和输入图案矩阵(Sb1和Sb3)。创建具有由参考形状作为元素的参考图案向量的峰度的变化率的值的加权向量,并且通过元素值的乘积和运算来计算原始且加权的标准图案矩阵。加权矢量和原始标准图案矩阵的元素值(Sb2)。然后,通过相同加权矢量的元素值与原始输入模式矩阵的元素值(Sb4)以及原始标准模式之间的几何距离值的乘积和运算来计算原始且加权的输入模式矩阵。矩阵和原始输入模式矩阵被计算为原始和加权标准模式矩阵与原始和加权输入模式矩阵之间的角度的余弦(Sb5)。

著录项

  • 公开/公告号JP3422787B1

    专利类型

  • 公开/公告日2003-06-30

    原文格式PDF

  • 申请/专利号JP20020068231

  • 发明设计人 神内 教博;

    申请日2002-03-13

  • 分类号G10L15/10;G01H17/00;G06K9/62;G06T7/00;G06T7/20;

  • 国家 JP

  • 入库时间 2022-08-22 00:20:36

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