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  • 标题:Co-Occurrence Matrix and Its Statistical Features as an Approach for Identification of Phase Transitions of Mesogens
  • 本地全文:下载
  • 作者:C.NAGESWARA RAO ; S.SREEHARI SASTRY ; K.MALLIKA
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2013
  • 卷号:2
  • 期号:9
  • 页码:4531
  • 出版社:S&S Publications
  • 摘要:Statistical features extracted from the Gray Level Co-occurrence Matrix (GLCM) of liquid crystal texturesare used to investigate the phase transition temperatures of nematic liquid crystals p – n Alkyl benzoic acids (nBA)where n = 8,9 and10. Textures of compounds are recorded as a function of temperature using Polarizing OpticalMicroscope attached to the hot stage and high resolution camera. In this method, second order statistical parameters –contrast, energy, homogeneity and correlation of the sample textures are computed using MATLAB software. Thechanges associated in the values of computed statistical features as a function of temperature is a helpful process toidentify the phase transition temperatures of the samples. Results obtained from this method are compared withliterature values of Differential Scanning Calorimetry (DSC) and are in agreement.
  • 关键词:Alkyl benzoic acids; Optical Polarizing Microscope; phase transitions; textures; Gray Level Co-occurrence;Matrix
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