Contrast Limited Adaptive Histogram Equalization (CLAHE) Approach for Enhancement of the Microstructures of Friction Stir Welded Joints
This work addresses image quality improvement for microstructure analysis in manufacturing and materials industries, but it is incremental as it applies an existing method to a specific domain.
The paper applied the Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm to enhance microstructure images of Friction Stir Welded joints, resulting in higher values for quantitative metrics like Entropy and RMS Contrast.
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.