Multilevel Block Truncation Coding with diverse color spaces for image classification

@article{Kekre2013MultilevelBT,
  title={Multilevel Block Truncation Coding with diverse color spaces for image classification},
  author={H. B. Kekre and Sudeep D. Thepade and Rik Kamal Kumar Das and Subhabrata Ghosh},
  journal={2013 International Conference on Advances in Technology and Engineering (ICATE)},
  year={2013},
  pages={1-7}
}
The paper depicts the use of Multilevel Block Truncation Coding for image classification. Feature vectors are extracted with four levels of Block Truncation Coding to classify the several categories of images for performance comparison in six different color spaces for the proposed methodology. Three databases out of which two are public databases and one is a generic database are considered for the experimentation. The two public datasets used are Coil Dataset and the Ponce Group 3D… CONTINUE READING