Cross-frame object reconstruction for image-based cytology applications
    11.
    发明授权
    Cross-frame object reconstruction for image-based cytology applications 有权
    基于图像的细胞学应用的跨框架对象重建

    公开(公告)号:US07636465B2

    公开(公告)日:2009-12-22

    申请号:US11299046

    申请日:2005-12-09

    CPC classification number: G06K9/00134

    Abstract: Methods, computer software, and systems for analyzing a biological specimen (e.g., a cytological specimen) on a slide is provided. Magnified image data frames of the biological specimen are taken at different locations on the slide. An object that is not entirely contained within at least one of the image data frames is identified, and complementary portions of the object respectively located in different ones of the image data frames are matched. A fully integrated object is created from the matched object portions. Attributes of the integrated object are then analyzed.

    Abstract translation: 提供了用于分析幻灯片上的生物样本(例如,细胞学标本)的方法,计算机软件和系统。 在幻灯片上的不同位置拍摄生物样本的放大图像数据帧。 识别不完全包含在至少一个图像数据帧内的对象,并且分别位于不同图像数据帧中的对象的互补部分相匹配。 从匹配的对象部分创建完全集成的对象。 然后分析集成对象的属性。

    Method and apparatus for determining a reference point of a bottle bottom in an image
    12.
    发明授权
    Method and apparatus for determining a reference point of a bottle bottom in an image 失效
    用于确定图像中瓶底参考点的方法和装置

    公开(公告)号:US06801649B1

    公开(公告)日:2004-10-05

    申请号:US09772751

    申请日:2001-01-30

    CPC classification number: G06K9/3216 G06K9/6203 G06T7/30 G06T7/60

    Abstract: An efficient and reliable method and apparatus is disclosed that finds a reference point of an object profile within an image when the object is of an unknown size. The object profile is modeled using a synthetic labeled-projection model, which in conjunction with the image, is projected over a portion of the image of the object profile to derive a histogram. The histogram is normalized and a maximum of a first derivative of the histogram is defined for that position. The position of the labeled-projection model is moved relative to the image, and the process is repeated until a selected portion of the image has been examined. The first derivative of the normalized labeled projection is greatest when a feature of the image and the feature denoted by a specific synthetic label of the labeled-projection model are aligned. The method and apparatus can locate the center of the object with reliability, because use of the labeled-projection model and the histogram minimizes the * effects of image artifacts. Further, the method decreases computational time, and thus, increases performance speed.

    Abstract translation: 公开了一种有效且可靠的方法和装置,当物体具有未知尺寸时,找到图像内的对象轮廓的参考点。 使用合成的标注投影模型对对象轮廓进行建模,该模型与图像一起投影在对象轮廓的图像的一部分上以导出直方图。 对直方图进行归一化,并为该位置定义直方图的一阶导数的最大值。 标记投影模型的位置相对于图像移动,并重复该过程直到已经检查图像的所选部分。 当图像的特征和由标记投影模型的特定合成标签表示的特征对齐时,归一化标记投影的一阶导数最大。 该方法和装置可以可靠地定位对象的中心,因为使用标注投影模型和直方图可以最大限度地减小图像伪影的*效应。 此外,该方法减少了计算时间,从而提高了性能速度。

Patent Agency Ranking