1990 年 56 巻 529 号 p. 2393-2401
So far, the pattern matching method has mainly been adopted for visual recognition, applicable only to objects which can be put into patterns. Objects which have an individually variable size are difficult to process with satisfactory renults. For example, superconductive products ate difficult to put into patterns because of their expansion, shrinking and cracking in the baking process. This is one of the reasons why a developing process for these kinds of objects still cannot be automated. To solve this problem, especially for automatic manipulation of these kinds of products, this paper proposes an image processing expert system including the six-surface images integrating method. Avoiding individual differences, the expert system reasons and recognizes the bends, twists and cracks of an object, while integrating the image information of its six surfaces. As experimental samples, we used small brick-shaped objects. The effectiveness of the expert system proposed in this paper was confirmed by the results of experiments. The results of these experiments will be shown in this paper.