Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
525719 | Computer Vision and Image Understanding | 2015 | 8 Pages |
•A novel system for plant leaf classification is proposed.•New and well-known feature extraction and classification methods are both used.•The proposed method includes margin descriptors that improve accuracy.•Linear Discriminant Classifier is used which is suitable for leaf classification.•The proposed system outperforms well-known geometric leaf classification methods.
In this paper, we propose a novel method including segmentation, a combination of new and well-known feature extraction and classification methods to classify plant leaves. The aim of the proposed features is to distinguish leaf margins, which cannot be distinguished using commonly used geometric features. Additionally, Linear Discriminant Classifier is used for classification, therefore using features that are noisy for some leaf types does not reduce the performance of the system. The proposed system outperforms the well-known geometric methods that are used for leaf classification.