| 摘要 |
An image of a part is used to judge whether it is good or no good. A predetermined intensity, edge or similar feature image is extracted from the inspected image and is quantized. The quantized feature image is obtained from a training image in advance, and the feature is subjected to a generalized Hough transform operation which refers to the weight of each feature point for each feature value in the image and vote the feature point weight. The similarity is obtained from the results of the transform operation, and a good/no good judgement is made depending upon whether the similarity is above or below a threshold value.
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