Image Segmentation

Image segmentation is a computer vision technique that involves dividing an image into multiple segments or regions to simplify its representation and make it more meaningful. The primary goal of image segmentation is to locate and delineate objects or boundaries within an image. This process enables more efficient analysis and understanding of the image contents, as each segment can correspond to specific objects or areas of interest.Segmentation techniques can be based on different criteria, such as color, intensity, texture, or motion. Common methods include thresholding, clustering (e.g., k-means), region-based segmentation, edge detection, and deep learning approaches, particularly convolutional neural networks (CNNs).Image segmentation is widely used in various applications, including medical imaging (to identify and analyze anatomical structures), autonomous vehicles (to detect and classify objects on the road), and satellite imagery (to classify land use). Overall, image segmentation plays a crucial role in tasks that require detailed analysis or understanding of visual content within images.