From 3aef37fec287ccb58a83813e81bc10f58e5612ec Mon Sep 17 00:00:00 2001 From: Juan Nunez-Iglesias Date: Mon, 20 Apr 2026 00:26:13 +0200 Subject: [PATCH] Define segmentation when it is first mentioned --- episodes/07-thresholding.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/episodes/07-thresholding.md b/episodes/07-thresholding.md index 43b79e84..bd3b0341 100644 --- a/episodes/07-thresholding.md +++ b/episodes/07-thresholding.md @@ -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. In thresholding, we convert an image from colour or grayscale into a *binary image*, i.e., one that is simply black and white. Most frequently,