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Updated: Jun 4, 2026

High Precision FRET at Single-molecule Level for Biomolecule Structure Determination

High Precision FRET at Single-molecule Level for Biomolecule Structure Determination

Published on: May 13, 2017

Clustering-driven residue filter for profile measurement system.

Jun Jiang¹, Jun Cheng, Ying Zhou

¹Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen, 518055, China.

Journal of the Optical Society of America. A, Optics, Image Science, and Vision

|February 5, 2011

Summary

This summary is machine-generated.

This study introduces a novel clustering-driven residue filter to accelerate phase unwrapping (PU) in industrial quality control. The new method enhances 3D reconstruction speed by efficiently filtering noise-induced residues.

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Published on: September 2, 2020

Area of Science:

Optics and Photonics
Computer Vision
Industrial Metrology

Background:

Phase unwrapping (PU) is crucial for profile measurement systems in industrial quality control.
Algorithm-driven PU methods face challenges with speed due to complex path searching and gradient correction.
Noise-induced residues significantly impact the accuracy and efficiency of PU.

Purpose of the Study:

To characterize noise-induced residues in phase unwrapping.
To develop a faster, residue-filtering-driven PU approach for industrial applications.
To improve the operating speed of 3D reconstruction systems.

Main Methods:

Characterization of noise-induced residues.
Proposal of a clustering-driven residue filter using directional windows.
Adaptive grouping of correct and noisy phases along local fringe directions.

Main Results:

The proposed filter ensures similar wrapped phase values within filtering windows.
Effective filtering of residues, even for tightly packed fringes.
Significant improvement in the operating speed of 3D reconstruction.

Conclusions:

The clustering-driven residue filter successfully converts PU from algorithm-driven to residue-filtering-driven.
The method enhances system rapidity without compromising accuracy.
Validated through simulations and real projected fringe tests.