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1 It is desirable for automated object recognition using computer vision systems to emulate the human capacity for recognition of shapes invariant to vari-ous transformations. We present an algorithm, based on a Fuzzy Associative Database approach, which uses appropriately invariant metrics and a neu-ro-fuzzy inference method to accurately classify...
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Context 1
... the invariant values, a fuzzy knowledge data- base is constructed. This knowledge base consists of two tables (Figure 2) and holds the information about the known classes while serving the memory function for recognizing different objects. ...
Context 2
... index i * of the closest trained class in the second table to the incoming object is the one which maximizes d i , that is max ,,,…, (11) Therefore the i * th record in the second table of the fuzzy database determines the class of the incoming ob- ject. A sample FAD network with four invariant input values and three trained classes is shown in Figure 2. ...
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