binarization.md 849 Bytes
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# Image binarization 

## Requirements

To understand this episode you need to know:

- A
- B
- C

## Motivation

Few sentences.

## Learning objectives

- Understand the relationship between an intensity image and a derived binary image.
- Execute binarization on an image.

## Concept map

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<img src='https://g.gravizo.com/svg?
 digraph G {
shift [fontcolor=white,color=white];
	"pixel values" -> "foreground\n1,255" [label = " >= threshold"];
	"pixel values" -> "background\n0" [label = " < threshold"];
	"foreground\n1,255" -> "binarised pixel values"
	"background\n0" -> "binarised pixel values"
  }
'/>

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## Example

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![binarization_figure_00](../figures/binarization_concept_example.png)
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## Activity


## Formative assessment

Quizz or something

## Follow-up material

- [http:// ](next module in this repo)

## Learn more

External links...