Article Details

Abstract

This paper designs an undergraduate comprehensive experiment project applicable to majors such as optics and industrial design in colleges and universities. Based on the non-contact optical three-dimensional morphology measurement principle, the experiment uses Fourier Transform Profilometry (FTP) to obtain the phase information associated with surface height variation of the object to be measured. Next, the median filtering method and the gradient information of images are used to remove burrs from the edges of deformed grating images after height information recovery. Finally, the surface 3D morphology model of the measured object is printed by 3D printing technology. This experiment demonstrates the entire process from optical measurement of physical objects, and computer image processing, to the 3D printing of physical models. It helps students deepen their theoretical understanding of 3D morphology measurement in information optics, master the methods for creating 3D physical models, and learn 3D printing technology through practice. The design not only extends the practical application of measurement results of information optics experiment, but also makes the experiment more vivid and interesting.

Keywords

optics; 3D morphology; 3D printing; shape reconstruction

References

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Funding

South China Agricultural University 2022 Campus Quality Engineering Project (zlgc22032); 2024 South China Agricultural University Level Course Ideological and Political Demonstration Project (Demonstration Team Project: Optoelectronic Information Course Group Ideological and Political Team) (kcsz2024010); South China Agricultural University 2022 Campus level Education Reform Project (JG22071); South China Agricultural University 2023 Campus level Course Ideological and Political Demonstration Project (KCSZ2023069)

About the authors

Lin Fang (1979-), female, Han nationality, from Quanzhou, Fujian, professor, master's supervisor, PhD, research direction: electron microscope image processing, teaching of optoelectronic technology courses; Corresponding author: Tan Suiyan (1981-), female, Han ethnicity, from Luoding, Guangdong, senior laboratory technician, PhD, research direction: signal processing and intelligent agriculture.