The article discusses how clustering techniques are used to segment images, which helps in detecting and matching objects in image processing. The researchers focus on methods like K-Means and Fuzzy C-Means to divide pixels into different partitions based on similarity. This approach has shown promising results in recent developments of image segmentation.