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The Research and Application of System for Paper Surface Morphology Stereoscopic Observation and Characterization

Authors :
Haozhi Chen
Guangxue Chen
Tingli Liu
Source :
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 29:89-100
Publication Year :
2021
Publisher :
World Scientific Pub Co Pte Lt, 2021.

Abstract

The work aims to explore a microscopic observation system of paper surface and achieve high-precision stereoscopic observation with detail characterization of paper surface morphology. Based on the DT-400E precision program-controlled three-dimensional translation stage and KEYENCE LJV-7200 two-dimensional laser scanner, the hardware parts of our own system are developed to scan and transmit point cloud data of paper surface morphology to the computer. The corresponding system software will automatically process the point cloud data acquired from the laser scanner and generate the corresponding vivid 3D model and height histogram. This system scans and characterizes four different types of paper samples, allowing the human eye to visually distinguish the differences in surface morphology as well as automatically calculate the numerical differences in paper surface morphology parameters. The results of the applicability test show that the system is highly efficient in acquiring, observing, and evaluating the topography of the paper surface. The system can not only predict the paper surface quality of printed paper, but can also be extended to the evaluation of 3D printed surfaces.

Details

ISSN :
17936411 and 02184885
Volume :
29
Database :
OpenAIRE
Journal :
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Accession number :
edsair.doi...........653f6b5bc1b4644361c30d36ca8757ed