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Algorithm to measure symmetry and positional entropy of a data set

机译:测量数据集对称性和位置熵的算法

摘要

A method and algorithm for measuring the symmetry (SYM=total symmetry) of N points based on counting the number of “elementary symmetric recognition acts”, or having two distances d(A,B) and d(C,D) be equal within a given tolerance t. The same algorithm can be adapted to measure un-normalized positional entropy deficit (UPED) and positional entropy of N points. These parameters (SYM and UPED) come out almost the same for small occupation numbers (1=k=4). Here the occupation number k is the number of equal distances in the figure for a given value d. The algorithm can be incorporated into an imaging device, such as computer graphic programs or cameras, to solve problems of defect detection, say in gems, or object detection.
机译:一种基于对“基本对称识别动作”的数量进行计数或者两个距离d(A,B)和d(C,D)相等的N个点的对称性(SYM =总对称性)的测量方法和算法给定的公差t。相同的算法可以适用于测量N点的未归一化位置熵缺陷(UPED)和位置熵。对于较小的占用数(1 <= k <= 4),这些参数(SYM和UPED)几乎相同。在此,占有数k是图中给定值d的等距离数。该算法可以合并到成像设备(例如计算机图形程序或照相机)中,以解决缺陷检测(例如宝石)或对象检测的问题。

著录项

  • 公开/公告号US7873220B2

    专利类型

  • 公开/公告日2011-01-18

    原文格式PDF

  • 申请/专利权人 DENNIS G. COLLINS;

    申请/专利号US20070715909

  • 发明设计人 DENNIS G. COLLINS;

    申请日2007-03-09

  • 分类号G06K9/52;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-21 18:09:07

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