Image Segmentation Implementation
Image segmentation refers to the technique and process of dividing an image into specific regions with distinct properties and extracting regions of interest. It serves as a critical step bridging image processing and image analysis. Existing segmentation methods primarily fall into these categories: threshold-based methods, region-based methods, edge-based methods, and theory-specific methods. Since 1998, researchers have continuously improved traditional segmentation approaches and incorporated new theories/methods from other disciplines, proposing numerous innovative segmentation techniques. Objects extracted through segmentation can be applied to fields like image semantic recognition, image search, and beyond.