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    • 3. 发明授权
    • Optical characterization method
    • 光学表征方法
    • US5818953A
    • 1998-10-06
    • US634093
    • 1996-04-17
    • Andrew QueisserJoseph G. LaChapelleDaniel M. DionasMichael P. Minelli
    • Andrew QueisserJoseph G. LaChapelleDaniel M. DionasMichael P. Minelli
    • G01N21/88G01N33/02G06T7/40G06K9/00
    • G06T7/408G01N21/88G01N33/02G06T2207/10016G06T2207/30128
    • This invention includes an optical characterization method capable of determining various characteristics of samples that preferably include naturally-occurring color deviations. In the preferred embodiment, this method is used in connection with food products and, particularly, potato products such as french fried potatoes. The method of this invention overcomes such disadvantages by generating from the RGB pixel values a sample-based color space that corresponds to the naturally-occurring color deviations of the samples. Preferably, the method includes generating HSI pixel values that correspond to the RGB pixel values and are defined with respect to an HSI color space having hue, saturation, and intensity coordinates. The sample-based representation of the color characteristics of the samples is determined on a pixel-by-pixel basis. As a result, color grades for the samples can be assigned according to the distribution of pixels within the sample-based representation. Moreover, defects or color variation, as well as the length distribution of the samples, may also be determined.
    • 本发明包括能够确定优选包括天然色差的样品的各种特性的光学表征方法。 在优选实施方案中,该方法用于食品,特别是马铃薯产品如法国油炸马铃薯。 本发明的方法通过从RGB像素值生成与样本的天然存在的色偏相对应的基于样本的颜色空间来克服这些缺点。 优选地,该方法包括生成对应于RGB像素值的HSI像素值,并且相对于具有色调,饱和度和强度坐标的HSI颜色空间来定义。 以逐个像素为基础确定样本的颜色特征的基于样本的表示。 因此,可以根据基于样本的表示中的像素分布来分配样本的颜色等级。 此外,还可以确定缺陷或颜色变化以及样品的长度分布。