## Abstract This article describes a new approach for image texture classification based on curve fitting of wavelet domain singular values and probabilistic neural networks. Image textures are wavelet packet transformed and singular value decomposition is then employed on subband coefficient matri
โฆ LIBER โฆ
Neural Network Based Terrain Classification Using Wavelet Features
โ Scribed by Gi-Yeul Sung; Dong-Min Kwak; Joon Lyou
- Publisher
- Springer Netherlands
- Year
- 2010
- Tongue
- English
- Weight
- 892 KB
- Volume
- 59
- Category
- Article
- ISSN
- 0921-0296
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This paper presents a neural network application for on-line tool condition monitoring in a turning operation. A waveh:t technique was used to decompose dynamic cutting force signal into different frequency bands in time domain. Two features were extracted from the decomposed signal for each frequen