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

TL;DR

This paper applies the CLAHE image processing algorithm to enhance microstructure images of friction stir welded joints, improving image quality for better analysis in manufacturing and materials science.

Contribution

It introduces the use of CLAHE for microstructure image enhancement in friction stir welding, demonstrating improved image quality through quantitative metrics.

Findings

Increased entropy and RMS contrast values indicating better image quality

Enhanced microstructure images facilitate defect detection and analysis

CLAHE effectively improves microstructure visualization in welding applications

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.