Treelogy: A Novel Tree Classifier Utilizing Deep and Hand-crafted Representations

28 Jan 2017İlke ÇuğuEren ŞenerÇağrı ErciyesBurak BalcıEmre AkınItır ÖnalAhmet Oğuz Akyüz

We propose a novel tree classification system called Treelogy, that fuses deep representations with hand-crafted features obtained from leaf images to perform leaf-based plant classification. Key to this system are segmentation of the leaf from an untextured background, using convolutional neural networks (CNNs) for learning deep representations, extracting hand-crafted features with a number of image processing techniques, training a linear SVM with feature vectors, merging SVM and CNN results, and identifying the species from a dataset of 57 trees... (read more)

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