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

arXiv: https://arxiv.org/abs/2109.00886 · HTML: https://mlsanity.com/paper/2109.00886/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 13 references that are in the map.
- First posted on arXiv 15 Aug 2021.

## Built on by (most cited first, 2 of 2)

- [XAI-CLIP: ROI-Guided Perturbation Framework for Explainable Medical Image Segmentation in Multimodal Vision-Language Models](https://mlsanity.com/paper/2602.07017/) (2026)
- [SynDORBench: Evaluating LVLM Perceptual Robustness Under Physically Constrained Visibility Conditions](https://mlsanity.com/paper/2609.31823/) (2026)

## Abstract (arXiv)

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.