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Digital Microscopy Image Enhancement Technique for Microstructure Image Analysis of Bottom Ash Particle Polymer Composites

  • F. A. HermawatiEmail author
  • I. M. Kastiawan
  • Muhyin
Conference paper
  • 39 Downloads
Part of the Springer Proceedings in Materials book series (SPM, volume 6)

Abstract

Polymer composites are composite materials with matrices of polymers with reinforcements using fibers or particles or both together. This study uses polypropylene polymer composite material with reinforcement of bottom ash particles. In the manufacture of polypropylene-shaped sheet (lamina) polymer composite materials with bottom ash particles, the process of assessing the composite characteristics of the polypropylene matrix such as the level of distribution of bottom ash particles as fillers in the polypropylene matrix through microscopic images is necessary. Analysis of the level of distribution of reinforcement particle is used to avoid the formation of filler particle agglomerates during the dispersion of various types of fillers in polymer resins. Bottom ash particles themselves have an irregular shape that requires particular analysis to distinguish a single particle and an agglomerate particle. Before the analysis step, the most crucial step at the beginning is to carry out the process of improving the quality of the input image, which aims to improve image contrast and eliminate unwanted noise. This chapter proposes an image enhancement method to enhance the quality of the microstructure image of a polymer composite that is analyzed using a digital microscope. The proposed method combines the multiresolution approach and the anisotropic diffusion method. From the experiment, this image enhancement method gives the best performance when it is compared with other techniques in the state of the arts.

Notes

Acknowledgements

This research was funded from a leading applied research universities from The Ministry of Research, Technology & Higher Education of the Republic of Indonesia based on Grant No. 229/SP2H/LT/DRPM/2019 dated March 11, 2019 and contract number: 374/06/ST/LPPM/Lit/III/2019.

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of InformaticsUniversitas 17 Agustus 1945SurabayaIndonesia
  2. 2.Department of Mechanical EngineeringUniversitas 17 Agustus 1945SurabayaIndonesia

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