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Computation Legendre moments using image analysis technique

  • Karamcheti Mallika , K. Vijaya Lakshmi , K. Lakshmi Sarada and S. Sreehari Sastry EMAIL logo
Published/Copyright: September 4, 2024

Abstract

In this paper, phase transition temperatures of nematic liquid crystals: 4-n alkoxy benzoic acid (nOBA, where n = 4 and 6) are determined from the Legendre moments of liquid crystal textures. Here, the image analysis technique in conjunction with polarizing optical microscope is used to compute the Legendre moments from the textures of liquid crystals. As a function of temperature, Liquid crystal textures are recorded from the arthroscopic mode of optical microscope. Changes in textural features of the sample with respect to temperature bring the variations in intensity values of liquid crystal textures. The brightness image that is generated from the liquid crystal textural patterns separates the information about fluctuations in intensity. In this approach, Legendre moments are computed from the brightness images of the liquid crystal textures and are plotted as a function of temperature. Significant variations in the brightness Legendre moment curve provide insight into the liquid crystal transition temperatures. Results obtained from the present methodology are compared with gray color textures data and the experimental technique of differential scanning calorimetry and are in good agreement with each other. This method is an objective and quantitative technique whereas POM method is qualitative and subjective.


Corresponding author: S. Sreehari Sastry, Department of Physics, Acharya Nagarjuna University, Nagarjunanagar 522510, India, E-mail: 

Funding source: Young mind creations technologies private limited, Bangalore

Award Identifier / Grant number: No. EXT/R&D/LCD/NU/SSS-05, dt.15-08-2023

Acknowledgments

Authors are grateful to Acharya Nagarjuna University for providing infrastructure.

  1. Research ethics: Not applicable.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

  4. Research funding: The authors are grateful to M/s. Young mind creations technologies private limited, Bangalore, for providing financial assistance No.EXT/R&D/LCD/NU/SSS-05, dt.15-09-2023.

  5. Data availability: Not applicable.

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Received: 2024-05-20
Accepted: 2024-07-25
Published Online: 2024-09-04
Published in Print: 2024-10-28

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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