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Image processing algorithms are finding various applications in manufacturingand materials industries such as identification of cracks in the fabricatedsamples, calculating the geometrical properties of the given microstructure,presence of surface defects, etc. The present work deals with the applicationof Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm forimproving the quality of the microstructure images of the Friction Stir Weldedjoints. The obtained results showed that the obtained value of quantitativemetric features such as Entropy value and RMS Contrast value were high whichresulted in enhanced microstructure images.

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