image-segmentation

Image segmentation is a crucial computer vision task that involves dividing an image into meaningful regions or segments, making it easier to analyze and interpret. Techniques include thresholding, region-based methods, and deep learning approaches like U-Net. A misconception is that segmentation always leads to perfect boundaries; however, inaccuracies can arise from noise and occlusions in images.