WT and PDE Approach for Forest Species Recognition in Macroscopic Images

Author:

Bhusnurmath Rohini A.,Hiremath P. S.

Publisher

Springer Singapore

Reference31 articles.

1. Cavalin, P.R., Kapp, M.N., Oliveira, L.S.: Multi-scale forest species recognition systems for reduced cost (2017). arXiv:1709.04056v1 [cs.CV]

2. Tou, J.Y., Lau, P.Y., Tay, Y.H.: Computer vision based wood recognition system. In: Proceedings of International Workshop on Advanced Image Technology, pp. 197–202 (2007)

3. Tou, J.Y., Tay, Y.H., Lau, P.Y.: One-dimensional grey-level co-occurrence matrices for texture classification. In: International Symposium on Information Technology, pp. 1–6 (2008)

4. Tou, J.Y., Tay, Y.H., Lau, P.Y.: A comparative study for texture classification techniques on wood recognition problem. In: Proceeding of the 5th International Conference on Natural Computation, pp. 8–12 (2009)

5. Khalid, M., Lee, E.L.Y., Yusof, R., Nadaraj, M.: Design of an intelligent wood species recognition system. IJSSST 9(3), 9–19 (2008)

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