Image segmentation is an essential task in computer vision that involves partitioning an image into distinct regions that are easier to analyze. By identifying boundaries and regions, segmentation enhances object recognition, tracking, and classification.
Types of Image Segmentation
- Semantic Segmentation: Classifies each pixel of the image into a category.
- Instance Segmentation: Differentiates between separate objects of the same class.
- Panoptic Segmentation: Combines both semantic and instance segmentation.
Applications
- Medical Imaging - Assisting in diagnosis through careful delineation of organs and lesions.
- Autonomous Vehicles - Enabling better decision-making by understanding the environment.
- Agriculture - Monitoring of crops and detecting areas that require attention.
Algorithms in Image Segmentation
Popular algorithms include:
