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Related Concept Videos

Pore Size Distribution01:23

Pore Size Distribution

553
In concrete, the pore size distribution significantly influences the material's properties. Capillary pores, markedly larger than gel pores, form a vast network within partially hydrated cement paste, reducing the concrete's strength and increasing its permeability. This heightened permeability leads to a greater risk of damage from environmental factors like freeze-thaw cycles and chemical attacks, with the extent of vulnerability also being tied to the water-to-cement ratio.
Adequate...
553

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Related Experiment Video

Updated: Mar 12, 2026

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
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Automatic facial pore analysis system using multi-scale pore detection.

J Y Sun1, S W Kim1, S H Lee1

  • 1Department of Electrical Engineering, Korea University, Seoul, Korea.

Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)
|November 2, 2016
PubMed
Summary
This summary is machine-generated.

A new image processing technique accurately analyzes facial pore size and number, offering a reliable method for assessing pore enlargement severity and treatment effectiveness.

Keywords:
Delaunay triangulationfacial poreimage processingmulti-scale pore detectionnoninvasive evaluationpore widening

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Area of Science:

  • Dermatology and image processing
  • Aesthetic science
  • Cosmetic technology

Background:

  • Facial pore widening is a common aesthetic concern.
  • Existing pore analysis methods are often cumbersome and yield suboptimal results.
  • There is a need for objective and user-friendly pore analysis systems.

Purpose of the Study:

  • To develop an advanced image processing technique for automatic facial pore analysis.
  • To create a system for objective assessment of facial pore characteristics.
  • To improve the accuracy and usability of pore analysis compared to conventional methods.

Main Methods:

  • Utilized a multi-scale detection and optimal scale selection scheme for pore identification.
  • Extracted key pore features including total area, average size, depth, and pore count.
  • Validated the system by comparing its analysis with expert dermatologists' grading and conventional devices.

Main Results:

  • The number of large pores and average pore size strongly correlated with clinical assessments of pore enlargement severity.
  • The developed system demonstrated superior performance over conventional pore-analyzing devices.
  • Achieved a higher correlation with expert clinical grading compared to existing technologies.

Conclusions:

  • The proposed image processing system provides a highly accurate and reliable method for measuring skin pore enlargement.
  • This system is suitable for objective evaluation of the efficacy of pore-tightening treatments.
  • Offers a significant advancement in objective assessment for cosmetic and dermatological applications.