Twist- state classifier for floating marine biomass based on physical simulation

Abstract

This paper describes new approaches for classifying twist of seaweeds. There are no evaluation measures of the twist formation of complicated objects quantitatively because the definition of a qualitative twist is a difficult problem. The twist of seaweeds is one of these problems. In this paper, we propose three factors (physical, geometric, and time factor of twist) for characterizing the twist state, and we develop the twist- state classifier based on these factors. Additionally, the analysis experiment verifies how the classifier shows the classification accuracy of twist state.