Integrated DIPlib and OpenCV Framework for Precise Geometric Characterisation of Woven Fibre-Reinforced Polymer Composites

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Year : 2026 | Volume : 14 | 03 | Page :
    By

    Kanak Panchal,

  • Janhavi Pohnerkar,

  • Dipti Sakhare,

  • Trupti Bhalerao,

  • Usha Verma,

  • Vaishali Wangikar,

  • Abhijeet Deogirikar,

  1. BTech Student, Department of Electronics & Telecommunication, MIT Academy of Engineering, Pune, Maharashtra, India
  2. BTech Student, Department of Electronics & Telecommunication, MIT Academy of Engineering, Pune, Maharashtra, India
  3. Professor, Department of Electronics & Telecommunication, MIT Academy of Engineering, Pune, Maharashtra, India
  4. Assistant Professor, Department of Electronics & Telecommunication, MIT Academy of Engineering, Pune, Maharashtra, India
  5. Assistant Professor, Department of Electronics & Telecommunication, MIT Academy of Engineering, Pune, Maharashtra, India
  6. Associate Professor, Department of Electronics & Telecommunication, MIT Academy of Engineering, Pune, Maharashtra, India
  7. Associate Professor, Department of Computer Engineering, MIT Academy of Engineering, Pune, Maharashtra, India

Abstract

The mechanical properties of woven fibre-reinforced polymer (FRP) composites stem entirely from the geometrical regularity inherent in their reinforcement structure. Changes in the size of the unit cell, fibre tow separation, weave angle, and fibre tow spacing will have an immediate effect on the stiffness and shear modulus of the material. In this paper, a combined machine vision system that incorporates both the OpenCV and DIPlib libraries is proposed for the automatic detection and quantification of the diamond (or rhombus) unit cells of plain weave, twill weave, and biaxial woven FRP composites. Convex polygonal approximation with additional constraints on angles finds out rhombuses as the basic unit cell of the weave fabric, whereas the DIPlib approach for computing the Feret diameter measures major diagonal, minor diagonal, sides of the diamond, weave angle, and inter-tow spacing with sub-millimetre accuracy. QR-code-based calibration ensures traceability of pixel-to-millimetre conversion, along with full accounting of the uncertainty. The proposed framework is validated by processing high resolution image sequences of plain weave carbon fiber epoxy (CF/EP) and twill weave glass fiber epoxy (GF/EP) samples, which results in mean absolute deviations lower than 0.20 mm and repeatability standard deviations below 0.12 mm, meeting the required tolerances for manufacturing aerospace structures.

Keywords: Woven composites, Fibre-reinforced polymers, Computer vision; DIPlib, Geometric characterisation; Inter-tow gap; QR-code calibration

How to cite this article:
Kanak Panchal, Janhavi Pohnerkar, Dipti Sakhare, Trupti Bhalerao, Usha Verma, Vaishali Wangikar, Abhijeet Deogirikar. Integrated DIPlib and OpenCV Framework for Precise Geometric Characterisation of Woven Fibre-Reinforced Polymer Composites. Journal of Polymer & Composites. 2026; 14(03):-.
How to cite this URL:
Kanak Panchal, Janhavi Pohnerkar, Dipti Sakhare, Trupti Bhalerao, Usha Verma, Vaishali Wangikar, Abhijeet Deogirikar. Integrated DIPlib and OpenCV Framework for Precise Geometric Characterisation of Woven Fibre-Reinforced Polymer Composites. Journal of Polymer & Composites. 2026; 14(03):-. Available from: https://journals.stmjournals.com/jopc/article=2026/view=244624


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Ahead of Print Subscription Original Research
Volume 14
03
Received 09/05/2026
Accepted 20/05/2026
Published 21/05/2026
Publication Time 12 Days
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