The systematic studies are carried out on liquid crystalline N-(p-n-heptyloxybenzylidene)-p-n-pentyloxy aniline (7O.O5) pure compound and with dispersion of ZnO nanoparticles in 1 wt% respectively. The phase transition studies of the pure and LC nanocomposite are carried out using Polarizing Optical Microscope (POM) attached with hot stage along with digital camera and Differential Scanning Calorimetry (DSC) is used to measure enthalpy and transition temperature values. Further the presence of ZnO nano particles in 7O.O5 is determined by Scanning Electron Microscopy (SEM) analysis. It is identified that due to dispersion of nano particles SmG phase is Quenched and nematic thermal range is increased. To enhance the captured textural images, an algorithm that uses tuned intensification operators have been proposed in this article. Statistical parameters for enhanced output images are calculated and compared with existing algorithms such as Adaptive Gamma Correction (AGC) and Discrete Wavelet Transform – Singular Value Decomposition (DWT-SVD) to understand the effectiveness of proposed algorithm. Further, optical parameters have been computed to understand the thermo optical nature of liquid crystalline compounds.

中文翻译：

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ZnO纳米颗粒对7O.O5液晶化合物光学织构和图像分析性能的影响

对液晶N-（pn-庚基氧基苄叉基）-pn-戊氧基苯胺（70.05％）纯化合物进行了系统研究，并分别将ZnO纳米颗粒分散在1 wt％中。纯品和LC纳米复合材料的相变研究使用带有热台的偏振光学显微镜（POM）以及数码相机进行，差示扫描量热法（DSC）用于测量焓和转变温度值。此外，通过扫描电子显微镜（SEM）分析来确定7O.O5中ZnO纳米颗粒的存在。已经确定，由于纳米颗粒的分散，SmG相被淬灭并且向列热范围增加。为了增强捕获的纹理图像，本文提出了一种使用调整后的强化算子的算法。计算增强输出图像的统计参数，并将其与现有算法（例如，自适应伽玛校正（AGC）和离散小波变换-奇异值分解（DWT-SVD））进行比较，以了解所提出算法的有效性。此外，已经计算了光学参数以理解液晶化合物的热光学性质。