What is Image Segmentation?
Image segmentation is a computer vision task that aims at identifying and delineating individual objects or regions of interest within an image, making it easier to recognize and detect objects. Image segmentation helps in understanding the image’s content by differentiating between the foreground and background.
Types of Image Segmentation
The high level categorization of image segmentation techniques are based on the nature of the segmentation. The main types of Image Segmentation are:
- Semantic Segmentation
- Instance Segmentation
- Panoptic Segmentation
Semantic Segmentation vs Instance Segmentation
Image segmentation task involves partitioning the image into many segments or regions based on color, intensity, texture or spatial proximity. In this article, we are going to understand semantic segmentation, instance segmentation and their key differences.