Image math
Learning Objectives
After completing this lesson, learners should be able to:
Motivation
Concept map
Example figure
Convolution filters
Activity: Explore convolution filters
- Open image: xy_8bit__nuclei_noisy_different_intensity.tif
- Try the result of different convolution filters, e.g. * https://en.wikipedia.org/wiki/Kernel_(image_processing) * Mean filter * Gaussian blur * Edge detection
- Appreciate that the results are (slightly) wrong within the 8-bit range of the input image.
Activity: Use mean filter to facilitate image segmentation
- Open image: xy_8bit__nuclei_noisy_different_intensity.tif
- Appreciate that you cannot readily threshold the image
- Apply a mean filter
- Threshold the filtered image
Formative assessment
- Draw the kernel of a 3x3 mean filter.
- Draw three different kernels that enhance edges.
Learn more
- https://en.wikipedia.org/wiki/Kernel_(image_processing)
Activity
Follow-up material
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