Several techniques are employed in histological image processing, including:
Image Enhancement: Improves the visual appearance of images, making features more discernible. Segmentation: Divides the image into meaningful regions, such as separating different tissue types or identifying cellular structures. Feature Extraction: Identifies and quantifies specific attributes within the image, such as cell size, shape, and density. Classification: Categorizes tissue components based on extracted features, often using machine learning algorithms. Registration: Aligns multiple images for comparison or integration, essential in longitudinal studies or multi-modality imaging.
