PrerequisitesBefore starting this lesson, you should be familiar with:
Learning ObjectivesAfter completing this lesson, learners should be able to:
Very often, one wants to detect objects or specific regions in images. After connected_components, the image is divided in background and foreground pixels. The next step is a connected components analysis, where spatially connected regions of foreground pixels are assigned as being part of one region.
Open a binary image and conduct a connected components analysis.Show activity for:
- Open image: xy_8bit_binary__nuclei.tif
- Perform connected components analysis
- Explore multi-color LUTs for object labelling
- Explore removing and joining labels
Fill in the blanks, using these words: less, more, 8, 255, 4, more.
- In 3D, pixels have ___ neighbors than in 2D. 1. 8-connected connectivity results in ___ objects than 4-connected connectivity. 1. In 3D, pixels have __ non-diagonal neighbors. 1. In 2D, pixels have __ non-diagonal neighbors. 1. A 8-bit label image can maximally have ___ objects. 1. The maximum value in a label image is equal to or ___ than the number of objects.
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