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Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
Published on: July 25, 2025
Boundary location from an initial plan: the bead chain algorithm
1MEMBER, IEEE, Department of Electrical Engineering, School of Engineering and Applied Science, University of Virginia, Charlottesville, VA 22901; Bell Laboratories, Holmdel, NJ 077.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
Summary
A novel boundary detection algorithm was developed for morphometric cytology. This new method offers significant advantages over current techniques for locating cellular boundaries.
Area of Science:
- Cytology
- Image Analysis
- Biophysics
Background:
- Accurate boundary detection is crucial for quantitative morphometric analysis.
- Existing boundary locating techniques have limitations in precision and efficiency.
Purpose of the Study:
- To introduce and evaluate a new boundary finding method.
- To demonstrate its application in morphometric cytology.
- To compare its performance against established methods.
Main Methods:
- Development of a novel boundary finding algorithm.
- Application of the algorithm to morphometric cytology tasks.
- Experimental validation and comparison with existing techniques.
Main Results:
- The new method successfully identified boundaries in morphometric cytology.
- Experimental results indicate superior performance compared to existing techniques.
- Demonstrated advantages in accuracy and/or efficiency.
Conclusions:
- The proposed boundary finding method is effective for morphometric cytology.
- It presents a valuable alternative to current boundary locating techniques.
- Further applications and refinements are warranted.
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