| 摘要 |
A method and system are described for use at a machine vision station to correctly identify errors within a sample image of an object by means of a probability image where a value of each pixel of the probability image is a probability. The probability image is created from a mean template image and a standard deviation image, both of which are created from a plurality of reference images of the object. The probability image is processed to detect the errors in the sample image independent of the values of the pixels which make up the sample image. Two different techniques are described for creating the probability image utilizing mean template, sample and standard deviation pixel values.
|
