Feature Fusion for Leaf Image Classification

In this paper, we tackle the problem of classifying tree species from leaf images with deep learning. First, we classify leaf images with deep learning, focusing on a single leaf feature: only the whole-leaf feature, only the leaf-shape feature, or only the leaf-vein feature. The leaf feature that contributes to the classification accuracy differs depending on the species. Second, we classify leaf images by combining the whole-leaf, the leafshape, and the leaf-vein feature. We define combining these features as feature fusion. After feature fusion, the classification performance improves to 92.07%. It is important for people to teach which leaf features to focus on.