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Updated: Mar 18, 2026

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

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Local orientation coherence based segmentation and boundary-aware diffusion for discontinuous fringe patterns.

Haixia Wang, Qian Kemao

|July 14, 2016

Summary

This study introduces novel fringe pattern processing methods for enhanced analysis of noisy and discontinuous fringe data. The local orientation coherence based fringe segmentation (LOCS) and boundary-aware coherence enhancing diffusion (BCED) effectively denoise and segment complex fringe patterns.

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Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

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Published on: December 3, 2013

Area of Science:

Optics and Photonics
Image Processing
Computational Science

Background:

Fringe patterns are crucial in metrology but often corrupted by noise and discontinuities, hindering accurate analysis.
Existing processing techniques struggle with discontinuity detection and boundary awareness in fringe patterns.

Purpose of the Study:

To develop robust methods for discontinuity-detectable and boundary-aware processing of fringe patterns.
To introduce a novel approach for denoising and segmenting discontinuous fringe patterns.

Main Methods:

A local orientation coherence based fringe segmentation (LOCS) method was developed, involving discontinuity recognition using orientation coherence, boundary completion with cubic splines, and refinement using partial structure tensors.
The boundary-aware coherence enhancing diffusion (BCED) method was adapted for fringe segments with irregular boundaries.

Main Results:

The LOCS method successfully identified discontinuities in fringe patterns.
The integrated LOCS and BCED approach demonstrated effective denoising and segmentation of discontinuous fringe patterns.
Successful results were obtained using both simulated and experimental fringe patterns.

Conclusions:

The proposed LOCS and BCED methods provide a powerful solution for analyzing complex fringe patterns with noise and discontinuities.
These techniques enhance the accuracy and reliability of fringe analysis in various scientific and engineering applications.