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    • 7. 发明授权
    • Machine vision apparatus and method for sorting objects
    • 机器视觉设备和排序物体的方法
    • US5703784A
    • 1997-12-30
    • US550310
    • 1995-10-30
    • Thomas C. Pearson
    • Thomas C. Pearson
    • B07C5/342G06K9/46G06F19/00
    • G06K9/4604B07C5/3422B07C5/366
    • An object is sorted into different classes by producing a video image of the object. The signal level discontinuities in the image are evaluated by first deriving a video signal gradient of each pixel in the image. Then the number of pixels in three different signal gradient ranges are counted to produce count parameters which combined indicate the areas of differing contrast in the object. The count parameters are utilized in a pair of discriminate functions which define the two classes and solution of the discriminate functions are used to determine the probability that the object fits within one class. In response to the probability the object is directed along either a first path associated with one class or along a second path associated with the other class.
    • 通过产生对象的视频图像将对象分类到不同的类中。 通过首先导出图像中的每个像素的视频信号梯度来评估图像中的信号电平不连续性。 然后对三个不同的信号梯度范围中的像素数进行计数,以产生计数参数,这些参数组合表示物体中不同对比度的区域。 计数参数用于定义两个类的一对鉴别函数,并且鉴别函数的解决方案用于确定对象适合于一个类的概率。 响应于对象沿着与一个类相关联的第一路径或与另一类相关联的第二路径的概率来响应。