Corpus ID: 1210142

Rock Image Classification Using Non-Homogeous Textures and Spectral Imaging

@inproceedings{Lepist2003RockIC,
  title={Rock Image Classification Using Non-Homogeous Textures and Spectral Imaging},
  author={Leena Lepist{\"o} and I. Kunttu and J. Autio and A. Visa},
  booktitle={WSCG},
  year={2003}
}
  • Leena Lepistö, I. Kunttu, +1 author A. Visa
  • Published in WSCG 2003
  • Computer Science
  • Texture analysis and classification are usual tasks in pattern recognition. [...] Key Method The spectral features are considered as some color parameters whereas the textural features are calculated from the co-occurrence matrix. In this classification method, non-homogenous texture images are divided into blocks. The feature values are calculated for each block separately. In this way, the feature values of the texture image can be presented as a feature histogram. The classification method is tested using…Expand Abstract

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