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    • 1. 发明授权
    • Shape feature extraction and classification
    • 形状特征提取和分类
    • US07668376B2
    • 2010-02-23
    • US11003187
    • 2004-12-03
    • Siming LinKevin M. CrottyNicolas Vazquez
    • Siming LinKevin M. CrottyNicolas Vazquez
    • G06K9/46
    • G06K9/6292G06K9/48
    • System and method for analyzing an image. A received image, comprising an object or objects, is optionally preprocessed. Invariant shape features of the object(s) are extracted using a generalized invariant feature descriptor. The generalized invariant feature descriptor may comprise a generalized invariant feature vector comprising components corresponding to attributes of each object, e.g., related to circularity, elongation, perimeter-ratio-based convexity, area-ratio-based convexity, hole-perimeter-ratio, hole-area-ratio, and/or functions of Hu Moment 1 and/or Hu Moment 2. Non-invariant features, e.g., scale and reflection, may be extracted to form corresponding feature vectors. The object is classified by computing differences between the generalized invariant feature vector (and optionally, non-invariant feature vectors) and respective generalized invariant feature vectors corresponding to reference objects, determining a minimum difference corresponding to a closest reference object or class of reference objects of the plurality of reference objects, and outputting an indication of the closest reference object or class as the classification.
    • 用于分析图像的系统和方法。 可选地,包括对象的接收图像被预处理。 使用广义不变特征描述符提取对象的不变形状特征。 广义不变特征描述符可以包括广义不变特征向量,其包括对应于每个对象的属性的组件,例如与圆度,伸长率,基于周期比的凸度,面积比的凸度,孔周长比,孔 - 面积比和/或胡力矩1和/或胡力矩2的函数。可以提取非恒定特征,例如比例和反射,以形成对应的特征向量。 通过计算广义不变特征向量(和可选地,非不变特征向量)与对应于参考对象的相应的广义不变特征向量之间的差异来分类对象,确定对应于最接近的参考对象或参考对象的类别的最小差异 多个参考对象,并且输出最接近的参考对象或类的指示作为分类。
    • 2. 发明授权
    • Generating a curve matching mapping operator by analyzing objects of interest and background information
    • 通过分析感兴趣的对象和背景信息来生成曲线匹配映射运算符
    • US07136505B2
    • 2006-11-14
    • US10264059
    • 2002-10-03
    • Lothar WenzelRam RajagopalSatish V. KumarDarren R. SchmidtKevin M. CrottyMatthew S. FisherDinesh Nair
    • Lothar WenzelRam RajagopalSatish V. KumarDarren R. SchmidtKevin M. CrottyMatthew S. FisherDinesh Nair
    • G06K9/00
    • G06K9/6204G06K9/48
    • System and method for determining a mapping operator for use in a pattern matching application, where the mapping operator enhances differences between respective objects of interest and background objects, e.g., objects not of interest. First and second information is received regarding an object of interest and objects that may appear with the object of interest in an acquired target data set, respectively. The mapping operator is determined using the first information and the second information by determining a template discrete curve characterizing the object of interest, determining one or more target discrete curves characterizing the background objects, and generating a mapping operator that enhances differences between the mapped template discrete curve and the mapped target discrete curves. The operator is stored in a memory and is operable to be used in a pattern matching application to locate instances of the object of interest in acquired target data sets or images.
    • 用于确定在模式匹配应用中使用的映射运算符的系统和方法,其中所述映射运算符增强各个感兴趣对象和背景对象(例如,不感兴趣的对象)之间的差异。 接收关于感兴趣的对象的信息和在所获取的目标数据集中可能与感兴趣的对象一起出现的对象的第一和第二信息。 使用第一信息和第二信息确定映射运算符,通过确定表征感兴趣对象的模板离散曲线,确定表征背景对象的一个​​或多个目标离散曲线,以及生成增强映射模板离散化之间的差异的映射运算符 曲线和映射的目标离散曲线。 操作者被存储在存储器中,并可操作以在模式匹配应用中使用以定位所获取的目标数据集或图像中的感兴趣对象的实例。