Authors: LI Xin-De, YANG Wei-Dong, DEZERT Jean
This paper proposes an image target0s multi-feature fusion recognition method based on probabilistic neural networks (PNN) and Dezert-Smarandache theory (DSmT). To aim at multiple features extracted from an image, the information from them is fused. Firstly, the image is preprocessed with binarization and then multiple features are extracted, such as Hu moments, normalized moment of inertia, a±ne invariant moments, discrete outline parameters and singular values.
Comments: 10 Pages.
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[v1] 2014-11-20 00:47:23
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