本文描述了一种专利方法，用于有效利用机器视觉系统获取的灰度直方图中包含的信息。直方图的选定特征在各种查找表中进行处理，形成工作部件，然后将这些部件连接起来形成一个单词。每个单词代表视野中感兴趣对象的唯一特征。签名被非冗余地写入一个或多个库，以便在排序或分类方案中进行最终的存在或不存在检查。

THIS PAPER DESCRIBES A PATENTED METHOD FOR EFFECTIVELY AND EFFICIENTLY UTILIZING INFORMATION CONTAINED IN A GRAY SCALE HISTOGRAM, ACQUIRED BY A MACHINE VISION SYSTEM. SELECTED FEATURES OF THE HISTOGRAM ARE ADDRESSED IN VARIOUS LOOK-UP TABLES TO FORM WORK PARTS WHICH ARE THEN CONCATENATED TO FORM A WORD. EACH WORD REPRESENTS A UNIQUE SIGNATURE OF AN OBJECT OF INTEREST IN THE FIELD OF VIEW. SIGNATURES ARE NONREDUNDANTLY WRITTEN TO ONE OR MORE LIBRARIES FOR A FINAL PRESENCE OR ABSENCE CHECK IN A SORTING OR CLASSIFICATION SCHEME.