| 摘要 |
Object sorting systems are known which use a vision based system programmed by an operator who selects those features of the object which will be used in the sorting test. In the invention, detailed feature selection by a human programmer is avoided, the features being selected automatically in a system which is shown examples of the desired and undesired objects. Typically, a linear array camera 5 scans the objects 18 in a rectangular raster, created by the motion of the object along a track 1 and in contact with a fence 2, to generate a binarized picture of the object comprising rows and columns of binary picture elements (pixels). In a learning mode, a master set of features is derived as a reference set of distinguishable columns of the picture. In the sorting mode, the corresponding set of columns of an unknown object are compared with the reference set to determine acceptance or rejection of the object.
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