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Related Experiment Video

Updated: Jun 24, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

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Published on: August 30, 2013

Object phase-valid region segmentation method for FPP-based three-dimensional measurement.

Yang Zou, Qingwu Li, Dabing Yu

|June 10, 2024

Summary

This summary is machine-generated.

A new Dual-Wavelet Feature Interaction Network (DWFI-Net) enables precise object segmentation for 3D measurements in fringe projector profilometry (FPP). This method effectively removes background and shadows, crucial for real-world industrial applications.

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Last Updated: Jun 24, 2025

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Area of Science:

Computer Vision
3D Metrology
Image Processing

Background:

Existing fringe projector profilometry (FPP) methods often require ideal conditions or full-scene reconstruction.
Automated object detection and segmentation are critical for object-level measurements in industrial settings.
Challenges include easily segmenting objects from complex backgrounds and shadows.

Purpose of the Study:

To develop an automated method for object phase-valid region segmentation in FPP.
To enable accurate object-level 3D measurements in real industrial scenarios.
To effectively remove background and shadow interferences.

Main Methods:

Introduced a Dual-Wavelet Feature Interaction Network (DWFI-Net).
Utilized modulation and wrapped phase maps as innovative inputs.
Developed an Adaptive Wavelet Feature Interaction (AWFI) module using Discrete Wavelet Transformation (DWT).
Implemented an Edge-aware Discrete Cosine Transformation (EDCT) module as a decoder using Discrete Cosine Transformation (DCT).

Main Results:

DWFI-Net successfully performs object phase-valid region segmentation.
The network effectively removes background and shadow regions.
Demonstrated superiority over existing methods through qualitative and quantitative experiments.
Validated effectiveness for object-level 3D measurement using FPP.

Conclusions:

DWFI-Net offers a robust solution for object segmentation in FPP.
The proposed method enhances the applicability of FPP in industrial environments.
The innovative use of dual-wavelet features and adaptive fusion improves measurement accuracy.