Segmentation
Prerequisites
Before starting this lesson, you should be familiar with:
Learning Objectives
After completing this lesson, learners should be able to:
Understand the difference between instance and semantic segmentation
Motivation
Bioimage analysis very often is concerned with the measurement of features (intensity, shape, …) of individual objects (cells, nuclei, …) or regions (mesoderm, inter-cellular space, …) in images. The process of partitioning an image into objects and regions is called “image segmentation” and due to its prevalence is of central importance to bioimage analysis.
Concept map
graph TD
I[Image] --> S(Semantic segmentation)
I --> O(Instance segmentation)
O --- IO(Individual objects)
S --- R(Regions of same type)
Figure
Explanations
Follow-up material
Recommended follow-up modules:
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