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Imperfections in Crystal Structure: Point, Line and Plane Defects01:25

Imperfections in Crystal Structure: Point, Line and Plane Defects

A perfect crystal, in theory, has a uniform structure with the same unit cell and lattice points throughout. However, any deviation from this periodic arrangement is known as an imperfection or defect. These defects can be categorized into three types: point, line, and plane defects.Point defects occur when there is a deviation from the ideal due to missing atoms, displaced atoms, or additional atoms. These imperfections might occur due to imperfect packing during crystallization or because of...

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Related Experiment Video

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Microfluidic Dry-spinning and Characterization of Regenerated Silk Fibroin Fibers
08:28

Microfluidic Dry-spinning and Characterization of Regenerated Silk Fibroin Fibers

Published on: September 4, 2017

Referenceless segmentation of flaws in woven fabrics.

Miquel Ralló1, María S Millán, Jaume Escofet

  • 1Departament Matemàtica Aplicada III, Universitat Politècnica de Catalunya, Campus Terrassa, 08222 Terrassa, Barcelona, Spain.

Applied Optics
|September 21, 2007
PubMed
Summary

This study introduces an automatic method for segmenting fabric flaws using Fourier analysis. The technique identifies defects without needing reference images or prior knowledge of fabric structure.

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Area of Science:

  • Textile Engineering
  • Image Processing
  • Computer Vision

Background:

  • Automated defect detection in woven fabrics is crucial for quality control.
  • Existing methods often require reference images or specific knowledge of fabric patterns and defects.

Purpose of the Study:

  • To develop a fully automatic algorithm for segmenting flaws in woven fabrics.
  • To achieve defect segmentation without relying on reference images or prior information.

Main Methods:

  • Applying Fourier analysis to sample images to extract structural features of the weave repeat.
  • Designing multiresolution bandpass filters in the Fourier domain, adapted to fabric structure.
  • Utilizing inverse Fourier transformation, binarization, and multi-scale information merging for segmentation.

Main Results:

  • Successful automatic segmentation of various flaws in diverse woven fabric types.
  • The algorithm demonstrates robustness without needing prior fabric or defect information.
  • The process is fully automatable and suitable for optical or electronic implementation.

Conclusions:

  • The proposed Fourier analysis-based method effectively segments flaws in woven fabrics automatically.
  • This approach eliminates the need for reference images, simplifying defect detection processes.
  • The technique offers a versatile solution for automated fabric inspection.