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

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dc.contributor.author Suryantari, Risti
dc.contributor.author Yusuf, Yusril
dc.contributor.author Flaviana
dc.date.accessioned 2019-03-13T08:28:36Z
dc.date.available 2019-03-13T08:28:36Z
dc.date.issued 2019
dc.identifier.other maklhsc442
dc.identifier.uri http://hdl.handle.net/123456789/7639
dc.description Makalah dipresentasikan pada 2019 9th International Conference on Applied Physics and Mathematics (ICAPM 2019). Chulalongkorn University, Thailand, Bangkok, 21-23 January 2019. en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Chulalongkorn University, Thailand. en_US
dc.title Image feature extraction method to analyze soft-mode turbulence fluctuation in Nematic Liquid Crystal en_US
dc.type Conference Papers en_US


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