Forest species recognition using color-based features
Forest species recognition using color-based features
Paula Filho, P. L. and Oliveira, L. S. and Britto, A. S. and Sabourin, R.
Proceedings – International Conference on Pattern Recognition 2010
Abstract : In this work we address the problem of forest species recognition which is a very challenging task and has several potential applications in the wood industry. The first contribution of this work is a database composed of 22 different species of the Brazilian flora that has been carefully labeled by expert in wood anatomy. In addition, in this work we demonstrate through a series of comprehensive experiments that color-based features are quite useful to increase the discrimination power for this kind of application. Last but not least, we propose a segmentation approach so that a wood can be locally processed to mitigate the intra-class variability featured in some classes. Such an approach also brings important contribution to improve the final performance in terms of classification. © 2010 IEEE.
