Background: In this paper, a novel method is proposed to identify plant species by using the two-dimensional multifractal detrended fluctuation analysis (2D MF-DFA). Our method involves calculating a set of multifractal parameters that characterize the texture features of each plant leaf image. An index, I 0 , that characterizes the relation of the intra-species variances and inter-species variances is introduced. This index is used to select three multifractal parameters for the identification process. The procedure is applied to the Swedish leaf data set containing leaves from fifteen different tree species.
Two-dimensional multifractal detrended fluctuation analysis is used for plant classification in REF .
Two-dimensional multifractal detrended fluctuation analysis for plant identification
Plant Methods
Plant Methods
Medicine Computer Science