From 3aef37fec287ccb58a83813e81bc10f58e5612ec Mon Sep 17 00:00:00 2001 From: Juan Nunez-Iglesias Date: Mon, 20 Apr 2026 00:26:13 +0200 Subject: [PATCH 1/3] 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, From 5e74427edcab90ef9d481a561e77b91dc02d79c6 Mon Sep 17 00:00:00 2001 From: Juan Nunez-Iglesias Date: Mon, 27 Apr 2026 23:59:38 +0200 Subject: [PATCH 2/3] Apply suggestion from @K-Meech Uses simpler language for learners. Co-authored-by: Kimberly Meechan <24316371+K-Meech@users.noreply.github.com> --- episodes/07-thresholding.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/episodes/07-thresholding.md b/episodes/07-thresholding.md index bd3b0341..ada747c1 100644 --- a/episodes/07-thresholding.md +++ b/episodes/07-thresholding.md @@ -26,8 +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*, -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. 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, From 314a8a8c6107dd0e7382c7a6db94d936a49fcb5f Mon Sep 17 00:00:00 2001 From: Juan Nunez-Iglesias Date: Tue, 28 Apr 2026 00:00:04 +0200 Subject: [PATCH 3/3] Apply suggestion from @uschille Start a new paragraph when talking about thresholding. Co-authored-by: Ulf Schiller --- episodes/07-thresholding.md | 1 + 1 file changed, 1 insertion(+) diff --git a/episodes/07-thresholding.md b/episodes/07-thresholding.md index ada747c1..e8f94ba2 100644 --- a/episodes/07-thresholding.md +++ b/episodes/07-thresholding.md @@ -28,6 +28,7 @@ thresholding to an image. Thresholding is a type of *image segmentation*, where an image is split into different regions, or *segments*. These 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,