@@ -108,7 +108,7 @@ Thus, even though we use `np.ones()` to create the mask,
108108its pixel values are in fact not ` 1 ` but ` True ` .
109109You could check this, e.g., by ` print(mask[0, 0]) ` .
110110
111- Next, we draw a filled, rectangle on the mask:
111+ Next, we draw a filled rectangle on the mask:
112112
113113``` python
114114# Draw filled rectangle on the mask image
@@ -132,7 +132,7 @@ The function returns the rectangle as row (`rr`) and column (`cc`) coordinate ar
132132
133133## Check the documentation!
134134
135- When using an scikit-image function for the first time - or the fifth time -
135+ When using a scikit-image function for the first time - or the fifth time -
136136it is wise to check how the function is used, via
137137[ the scikit-image documentation] ( https://scikit-image.org/docs/dev/user_guide )
138138or other usage examples on programming-related sites such as
@@ -153,7 +153,7 @@ that the functions your program uses are behaving in the manner you intend.
153153You may have wondered why we called the return values of the rectangle function
154154` rr ` and ` cc ` ?!
155155You may have guessed that ` r ` is short for ` row ` and ` c ` is short for ` column ` .
156- However, the rectangle function returns mutiple rows and columns;
156+ However, the rectangle function returns multiple rows and columns;
157157thus we used a convention of doubling the letter ` r ` to ` rr ` (and ` c ` to ` cc ` )
158158to indicate that those are multiple values.
159159In fact it may have even been clearer to name those variables ` rows ` and ` columns ` ;
@@ -193,7 +193,7 @@ Other drawing functions supported by scikit-image can be found in
193193
194194First let's make an empty, black image with a size of 800x600 pixels.
195195Recall that a colour image has three channels for the colours red, green, and blue
196- (RGB, cf. [ Image Basics] ( 03-skimage-images .md) ).
196+ (RGB, cf. [ Image Basics] ( 02-image-basics .md) ).
197197Hence we need to create a 3D array of shape ` (600, 800, 3) ` where the last dimension represents the RGB colour channels.
198198
199199``` python
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