A multiple feature vector framework for forest species recognition

@inproceedings{Cavalin2013AMF,
  title={A multiple feature vector framework for forest species recognition},
  author={Paulo Rodrigo Cavalin and Marcelo N. Kapp and Jefferson Martins and Luiz Eduardo Soares de Oliveira},
  booktitle={SAC},
  year={2013}
}
In this work we focus on investigating the use of multiple feature vectors for forest species recognition. As consequence, we propose a framework to deal with the extraction of multiple feature vectors based on two approaches: image segmentation and multiple feature sets. Experiments conducted on a 112 species database containing microscopic images of wood demonstrate that with the proposed framework we can increase the recognition rates of the system from about 55.7% (with a single feature… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.
11 Citations
1 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…