  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.
