Image segmentation is the process of dividing an image into multiple parts. This is typically used to identify objects or other relevant information in digital images. There are many different ways to perform image segmentation, including:
- Thresholding methods such as Otsu’s method
- Color-based Segmentation such as K-means clustering
- Transform methods such as watershed segmentation
- Texture methods such as texture filters
An effective approach to performing image segmentation includes using algorithms, tools, and a comprehensive environment for data analysis, visualization, and algorithm development. See Image Processing Toolbox™ for more information.