Paper
27 March 1995 Model-based inspection of texture web materials
Dragana P. Brzakovic, Nenad S. Vujovic, A. Liakopoulos
Author Affiliations +
Proceedings Volume 2423, Machine Vision Applications in Industrial Inspection III; (1995) https://doi.org/10.1117/12.205513
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States
Abstract
In this paper we develop digital image processing techniques to describe the microstructure of fibrous polymeric materials characterized by random texture patterns and to predict their performance. The proposed techniques are discussed in the content of a fibrous non-woven material, obtained by melt blowing polypropylene resin and used for air filtration. The material microstructure is described by measurements of fiber orientation and estimates of pore area and perimeter. The latter involves using either detailed image analysis or a statistical model, in this case Poissonian line tessellation. The first approach is appropriate for laboratory studies while the statistical model lends itself to on-line quality assurance applications.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dragana P. Brzakovic, Nenad S. Vujovic, and A. Liakopoulos "Model-based inspection of texture web materials", Proc. SPIE 2423, Machine Vision Applications in Industrial Inspection III, (27 March 1995); https://doi.org/10.1117/12.205513
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KEYWORDS
Image analysis

Statistical analysis

Model-based design

Image processing

Mathematical modeling

Performance modeling

Fiber characterization

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