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Computer Science > Computer Vision and Pattern Recognition

arXiv:2109.00886 (cs)
[Submitted on 15 Aug 2021]

Title:Contrast Limited Adaptive Histogram Equalization (CLAHE) Approach for Enhancement of the Microstructures of Friction Stir Welded Joints

Authors:Akshansh Mishra
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Abstract:Image processing algorithms are finding various applications in manufacturing and materials industries such as identification of cracks in the fabricated samples, calculating the geometrical properties of the given microstructure, presence of surface defects, etc. The present work deals with the application of Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm for improving the quality of the microstructure images of the Friction Stir Welded joints. The obtained results showed that the obtained value of quantitative metric features such as Entropy value and RMS Contrast value were high which resulted in enhanced microstructure images.
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
Cite as: arXiv:2109.00886 [cs.CV]
  (or arXiv:2109.00886v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2109.00886

Submission history

From: Akshansh Mishra [view email]
[v1] Sun, 15 Aug 2021 05:37:32 UTC (1,474 KB)
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