RADIUS VECTORS BASED INVARIANT SHAPE CLASSIFICATION
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TP391.41 TP18

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    Abstract:

    A feature extracting method based on radius vectors was introduced.By using a directional factor,the proposed feature gives a complete description of the shapes,and it eliminates the ambiguity that may occur in the traditional shape representation of concave shapes.The normalized features can be used for final classification.With the help of a three layer BP neural network,satisfactory results in recognizing characters and military objects were carried out.

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Ye Xiangyun Hu Dongliang Qi Feihu. RADIUS VECTORS BASED INVARIANT SHAPE CLASSIFICATION[J]. Journal of Infrared and Millimeter Waves,1996,15(4):250~256

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