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-rw-r--r--content/posts/adaptive-binarisation/index.md6
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-rw-r--r--content/posts/binarisation-introduction/index.md (renamed from content/posts/binarisation-01.md)10
-rw-r--r--content/posts/who-we-are.md2
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diff --git a/content/posts/adaptive-binarisation/index.md b/content/posts/adaptive-binarisation/index.md
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@@ -0,0 +1,6 @@
+---
+title: "Adaptive Binarisation"
+date: 2019-10-02
+draft: true
+categories: [binarisation, preprocessing, image manipulation]
+---
diff --git a/content/posts/binarisation-introduction/example-01.png b/content/posts/binarisation-introduction/example-01.png
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diff --git a/content/posts/binarisation-01.md b/content/posts/binarisation-introduction/index.md
index 79e33e0..1c5a469 100644
--- a/content/posts/binarisation-01.md
+++ b/content/posts/binarisation-introduction/index.md
@@ -1,7 +1,8 @@
---
-title: "Binarisation 1"
-date: 2019-02-11T08:32:42Z
+title: "An Introduction to Binarisation"
+date: 2019-02-11
draft: true
+categories: [binarisation, preprocessing, image manipulation]
---
Binarisation is the process of turning a colour or grayscale image into
a black and white image. It's called binarisation as once you're done,
@@ -16,7 +17,7 @@ You can pick a number, and go through each pixel in the image, checking
if the pixel is lighter than the number, and if so declaring it to be
white, otherwise black.
-( INSERT IMAGE DEMONSTRATING THIS )
+![Example of basic binarisation](example-01.png)
The first issue with this is deciding what number to pick to determine
whether a pixel is white or black. This number is called the threshold,
@@ -61,4 +62,5 @@ which are darker than the threshold.
Both of these criticisms could be addressed by using an algorithm that
could alter the threshold according to the conditions of the region on
-the page.
+the page. That will be covered in the next blog post,
+[Adaptive Binarisation]({{< ref "binarisation-adaptive.md" >}}).
diff --git a/content/posts/who-we-are.md b/content/posts/who-we-are.md
index 629bdcf..3090606 100644
--- a/content/posts/who-we-are.md
+++ b/content/posts/who-we-are.md
@@ -1,6 +1,6 @@
---
title: "Who we are"
-date: 2019-02-11T08:28:20Z
+date: 2019-02-11
draft: true
---
Rescribe is a research collective focused on improving the state of OCR and related technologies for historical books and documents. Free and open source software is key to the work we do, and we release all the code and training data we can on [github](https://github.com/rescribe).