Automatic Fiber Length Measurements with a Multi-Stencil Fast Marching Method on Microscopy Images.

Area of Science:

• Materials Science
• Composite Materials
• Image Analysis

Background:

• Fiber length significantly influences composite mechanical properties and material performance.
• Current methods for fiber length distribution analysis often rely on manual or semi-automatic image processing, demanding extensive sample preparation or user intervention.
• Automated and efficient characterization of microstructure is essential for understanding material behavior.

Purpose of the Study:

• To develop a fully automated image processing and analysis method for accurate fiber length measurements.
• To overcome the limitations of manual and semi-automatic techniques in fiber length analysis.
• To enhance the efficiency and statistical representativity of fiber length characterization in composite materials.

Main Methods:

• Development of an image processing and analysis technique based on medial axis transformation.
• Utilizing the multi-stencil fast marching method for accurate fiber length measurements.
• Application to acquired microscopy images for quantitative microstructure characterization.

Main Results:

• The developed method enables fully automated fiber length measurement without user delays.
• Achieved sub-pixel accuracy in fiber length determination.
• Demonstrated excellent statistical representativity of the results.

Conclusions:

• The automated image analysis method provides a highly efficient and accurate solution for fiber length measurement.
• This technique improves the characterization of composite microstructures, aiding in the understanding of material performance.
• The method eliminates the need for extensive manual intervention, streamlining the analysis process.