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Define segmentation when it is first mentioned #364

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3 changes: 2 additions & 1 deletion episodes/07-thresholding.md
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Expand Up @@ -26,7 +26,8 @@ exercises: 50
In this episode, we will learn how to use scikit-image functions to apply
thresholding to an image.
Thresholding is a type of *image segmentation*,
where we change the pixels of an image to make the image easier to analyze.
which is the partitioning of an image into disjoint regions, or *segments*.
The different segments can then be analyzed separately.
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@K-Meech K-Meech Apr 21, 2026

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which is the partitioning of an image into disjoint regions, or *segments*.
The different segments can then be analyzed separately.
where an image is split into different regions, or *segments*.
These segments can then be analyzed separately.

I feel like the words 'partitioning' and 'disjoint' may not be familiar to all learners? How about using 'split' / 'different' as simpler terms?

In thresholding, we convert an image from colour or grayscale into
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@K-Meech K-Meech Apr 21, 2026

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Probably good to add a blank line above 'In thresholding...' to start a new paragraph. Makes this section easier to read in the rendered docs.

a *binary image*, i.e., one that is simply black and white.
Most frequently,
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