Plant Classification Based on Multilinear Independent Component Analysis

Abstract

Plant classification is very important and necessary with respect to agricultural informization, ecological protection and plant automatic classification system. In this paper, we present a multilinear independent component analysis (MICA) algorithm and apply it to a multimodal plant leaf recognition problem involving multiple leaves imaged in different periods and illuminations. To show the validity of the method, we apply it to a plant leaf image dataset. The experimental results show that the method is efficient and feasible.