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    • 1. 发明授权
    • Methods and apparatuses for generating from an image a model of an object
    • 从图像生成对象的模型的方法和装置
    • US06614926B1
    • 2003-09-02
    • US09605441
    • 2000-06-28
    • Raymond FixIvan Bachelder
    • Raymond FixIvan Bachelder
    • G06K946
    • G06T7/0004
    • The invention provides methods and apparatuses for generating from an image of an object a model of the object, when the object contains similar features. First, the invention finds the similar features. The similar features are found by searching portions of the image for features that are substantially similar to a feature prototype. More particularly, individual features in the image are located and designated candidate features, and optionally a spatial pattern representing a majority of the candidate features is generated. Next, feature profiles are generated therefrom, and the feature prototype is constructed using at least a subset of feature profiles. Thereafter, the model is generated using the similar features and, optionally, the spatial pattern. An example is described wherein the model is of a ball grid array, the similar features are the solder balls on the ball grid array, the feature profiles are local images of balls of a ball grid array, and the feature prototype is an average of a sub-set of the local images of the balls.
    • 本发明提供了当对象包含相似特征时从对象的图像生成对象的模型的方法和装置。 首先,本发明找到相似的特征。 通过搜索与特征原型大致相似的特征的图像的部分来找到相似的特征。 更具体地,图像中的各个特征位于并指定候选特征,并且可选地,生成表示候选特征的大部分的空间图案。 接下来,从其生成特征轮廓,并且使用至少一个特征轮廓的子集来构造特征原型。 此后,使用类似的特征和可选的空间模式来生成模型。 描述了其中模型是球栅阵列的示例,类似的特征是球栅阵列上的焊球,特征轮廓是球栅阵列的球的局部图像,特征原型是 球的局部图像的子集。
    • 4. 发明授权
    • Gauging based on global alignment and sub-models
    • 基于全局校准和子模型的测量
    • US06993177B1
    • 2006-01-31
    • US10000413
    • 2001-11-02
    • Ivan Bachelder
    • Ivan Bachelder
    • G06K9/00
    • G06K9/6203
    • A method for accurately and efficiently determining the location of points or entities in a machine vision image. A set of sub-models are constructed from a global training model representing objects viewed by the machine vision system. The set of sub-models are used to fix the actual location of user selected points or entities. Configuration of the sub-models is automated to ensure that the sub-models contain sufficiently stable features within optimally sized regions without requiring substantial user expertise. Located entities are compared to evaluate compliance with pre-selected tolerances.
    • 一种用于准确有效地确定机器视觉图像中的点或实体的位置的方法。 一组子模型由代表机器视觉系统观察的对象的全球训练模型构建。 子模型集用于修正用户选择的点或实体的实际位置。 子模型的配置是自动化的,以确保子模型在最佳尺寸的区域内包含足够稳定的特征,而不需要实质的用户专业知识。 比较位置实体以评估符合预先设定的公差。
    • 10. 发明授权
    • Method for finding contours in an image of an object
    • 在物体图像中查找轮廓的方法
    • US06941016B1
    • 2005-09-06
    • US10035993
    • 2001-12-31
    • Adam WagmanIvan Bachelder
    • Adam WagmanIvan Bachelder
    • G06K9/48G06T5/00
    • G06T7/0004G06K9/4638G06K9/48G06K2009/488G06T5/005G06T7/12G06T7/181G06T2207/10056G06T2207/20021G06T2207/30108
    • A method is provided for robustly and efficiently identifying contours in an image of an object. Features are extracted from an image, typically using a Sobel edge detector or a set of large oriented filters, and are locally chained to form contour segments of particular character, such as line segments. A spatial hash table is used to access the contour segments according to the location of their endpoints. Candidate sets for joining to grow contours are reduced by considering only segments having ends in adjacent spatial hash bins. Contour constraints are applied to appropriately choose among the candidates to form contours. The method facilitates robust and efficient scratch detection of fiber-optic end faces, or of any surface that may have smoothly curved scratches.
    • 提供了一种用于鲁棒且有效地识别对象的图像中的轮廓的方法。 特征是从图像中提取的,通常使用Sobel边缘检测器或一组大的定向滤光片,并且被局部链接以形成特定字符的轮廓段,例如线段。 空间哈希表用于根据其端点的位置访问轮廓段。 通过仅考虑在相邻空间哈希仓中具有末端的段来减少用于加入轮廓的候选集。 轮廓约束适用于候选人之间的适当选择以形成轮廓。 该方法有助于光纤端面或任何可能具有平滑弯曲划痕的表面的鲁棒和有效的划痕检测。