The research on the microstructure and properties of ferroelectric materials has attracted more and more attention. This article aims to study the nanoscale microscopic images of ferroelectric domains through piezoelectric force microscope. This paper proposes the method of deep image cutting to obtain microscopic images of ferroelectric domains, so as to study the nano-scale three-dimensional domain structure imaging of specific regions of ferroelectric domains, and control the operation of the domain structure and the dynamic study under the action of external fields. Imaging and quantitative characterization of physical properties such as ferroelectricity and piezoelectricity. Then use the image segmentation technology to obtain the image of the ferroelectric domain structure we want. This paper investigates the image distortion problem when the piezoelectric force microscope of depth image segmentation detects nano-scale ferroelectric domains, finds the key factors of image distortion, and reduces the probability of image distortion by 20%.

Ramyan Radhakrishnan. Image Distortion When Detecting Nano-Scale Ferroelectric Domains with Piezoelectric Force Microscope Based on Depth Image Segmentation. International Journal of Big Data Intelligent Technology (2020), Vol. 1, Issue 2: 58-73. https://doi.org/10.38007/IJBDIT.2020.010205.

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