The main aim of this thesis is to overcome the second limitation of the automatic plant identification (low recognition accuracy) by proposing novel and robust methods for plant recognition. For this, we first focus on improving the recognition accuracy of plant identification based on images of one sole organ. Among different organs of the plant, we select leaf as this organ is the most widely in the literature. Second, taking into consideration that using one sole organ for plant identification is not always relevant because one organ cannot fully reflect all information of a plant due to the large inter-class similarity and large intra-class variation. Therefore, multi-organ plant identification is also studied in this dissertation. Finally, one more objective of the dissertation is to contribute in spread the knowledge of one specific kind of plants (medicinal plants) in Vietnam by developing an application for Vietnamese medicinal plant retrieval based on plant identification.

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: E-Predict: a computational strategy for species identification based on observed DNA microarray hybridization patterns...