Image feature extraction method to analyze soft-mode turbulence fluctuation in Nematic Liquid Crystal

Abstract

A convective pattern called soft-mode turbulence (SMT) on MBBA (4'-Methoxy-benzylidene-4-butyl-aniline) nematic liquid crystal with a homeotropic alignment will appear when an external electric field with a certain frequency applied on the sample at a threshold voltage (VSMT). The threshold voltage will increase with increasing of frequency. SMT Fluctuation occur when VSMT continues to increase at the same frequency. This phenomenon can be analize by applying an image processing tecnique. Based on image feature extraction method, inhomogeneous of SMT patterns can be observed through contrast, correlation, energy, homogeneity, and entropy parameter. Those parameters represent a result in accordance with the image visualization. Significant changes in the value of contrast, energy, homogeneity, and entropy parameters occur at V> VSMT which fluctuation begin. In this experiment the fluctuation begin at V = 27.3 volts.