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fix typos and link (episode 4) #367

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8 changes: 4 additions & 4 deletions episodes/04-drawing.md
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Expand Up @@ -108,7 +108,7 @@ Thus, even though we use `np.ones()` to create the mask,
its pixel values are in fact not `1` but `True`.
You could check this, e.g., by `print(mask[0, 0])`.

Next, we draw a filled, rectangle on the mask:
Next, we draw a filled rectangle on the mask:

```python
# Draw filled rectangle on the mask image
Expand All @@ -132,7 +132,7 @@ The function returns the rectangle as row (`rr`) and column (`cc`) coordinate ar

## Check the documentation!

When using an scikit-image function for the first time - or the fifth time -
When using a scikit-image function for the first time - or the fifth time -
it is wise to check how the function is used, via
[the scikit-image documentation](https://scikit-image.org/docs/dev/user_guide)
or other usage examples on programming-related sites such as
Expand All @@ -153,7 +153,7 @@ that the functions your program uses are behaving in the manner you intend.
You may have wondered why we called the return values of the rectangle function
`rr` and `cc`?!
You may have guessed that `r` is short for `row` and `c` is short for `column`.
However, the rectangle function returns mutiple rows and columns;
However, the rectangle function returns multiple rows and columns;
thus we used a convention of doubling the letter `r` to `rr` (and `c` to `cc`)
to indicate that those are multiple values.
In fact it may have even been clearer to name those variables `rows` and `columns`;
Expand Down Expand Up @@ -193,7 +193,7 @@ Other drawing functions supported by scikit-image can be found in

First let's make an empty, black image with a size of 800x600 pixels.
Recall that a colour image has three channels for the colours red, green, and blue
(RGB, cf. [Image Basics](03-skimage-images.md)).
(RGB, cf. [Image Basics](02-image-basics.md)).
Hence we need to create a 3D array of shape `(600, 800, 3)` where the last dimension represents the RGB colour channels.

```python
Expand Down