Fix typos (#263)

* Update structural_similarity_index.jl * Update watershed.jl * Update install.md * Update index.md * Update rgb_grayscale.jl * Update contour_detection.jl * Update detecting_corners.jl * Update image_diffview.jl
JuliaImages · Aug 1, 2023 · 88307c2 · 88307c2
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diff --git a/docs/examples/color_channels/rgb_grayscale.jl b/docs/examples/color_channels/rgb_grayscale.jl
@@ -17,7 +17,7 @@ rgb_image = testimage("lighthouse")
 gray_image = Gray.(rgb_image)
 mosaicview(rgb_image, gray_image; nrow = 1)
 
-# Gray scale conversion form RGB follows a weighted sum of all channels, the coffecients are computed according to
+# Gray scale conversion form RGB follows a weighted sum of all channels, the coefficients are computed according to
 # [Rec. ITU-R BT.601-7](https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.601-7-201103-I!!PDF-E.pdf) rounding off to 3 decimal places 
 # `0.299 * R + 0.587 * G + 0.114 * B`
 

diff --git a/docs/examples/contours/contour_detection.jl b/docs/examples/contours/contour_detection.jl
@@ -17,12 +17,12 @@ using Images, TestImages, FileIO
 ##              N          NE      E       SE      S       SW        W      NW
 ## direction between two pixels
 
-## rotate direction clocwise
+## rotate direction clockwise
 function clockwise(dir)
     return (dir)%8 + 1
 end
 
-## rotate direction counterclocwise
+## rotate direction counterclockwise
 function counterclockwise(dir)
     return (dir+6)%8 + 1
 end

diff --git a/docs/examples/contours/detecting_corners.jl b/docs/examples/contours/detecting_corners.jl
@@ -58,7 +58,7 @@ mosaicview(img_copies; nrow=1)
 # change abruptly at corner points, giving rise to large gradients. However, this makes them
 # computationally expensive.
 
-# The *FAST (Features from Accelarated Segment Test) Corner Detector* is a feature
+# The *FAST (Features from Accelerated Segment Test) Corner Detector* is a feature
 # detection algorithm which is designed to be computationally cheaper, and hence much faster.
 # It classifies a pixel $P$ as a corner if at least $n$ contiguous points out of the 16
 # points in a circle around it have intensities either higher (or lower) than that of $P$

diff --git a/docs/examples/image_quality_and_benchmarks/structural_similarity_index.jl b/docs/examples/image_quality_and_benchmarks/structural_similarity_index.jl
@@ -45,7 +45,7 @@ img_noise = img_orig + noise
 mosaicview(img_const, img_noise; nrow=1)
 save("assets/ssim.png", img_noise) #src
 
-# We use the `mse` funtion defined in `ImageDistances` to calculate the mean squared
+# We use the `mse` function defined in `ImageDistances` to calculate the mean squared
 # error between the original and the two modified images.
 
 mse(img_orig, img_const), mse(img_orig, img_noise)

diff --git a/docs/examples/image_segmentation/watershed.jl b/docs/examples/image_segmentation/watershed.jl
@@ -36,12 +36,12 @@ bw_transform_example = feature_transform(bw_example)
 
 # For example, the closest `true` to `bw_example[1,1]` exists at `CartesianIndex(2, 2)`,
 # hence it's assigned `CartesianIndex(2, 2)`. For other positions in `bw_example` it is
-# processed similarily.
+# processed similarly.
 
 dist = 1 .- distance_transform(bw_transform)
 dist_example = 1 .- distance_transform(bw_transform_example)
 
-# | Dist(distance tranform for img) | Dist(distance transform for img_example) |
+# | Dist(distance transform for img) | Dist(distance transform for img_example) |
 # | :---:| :-----------:|
 # |![](assets/contour1.png) | ![](assets/dist_example.png) |
 
@@ -82,7 +82,7 @@ colored_labels = IndirectArray(labels, distinguishable_colors(maximum(labels)))
 masked_colored_labels = colored_labels .* (1 .- bw)
 mosaic(img, colored_labels, masked_colored_labels; nrow=1)
 
-# Here we use `IndirectArray` to store the indexed image, for more explaination on it please
+# Here we use `IndirectArray` to store the indexed image, for more explanation on it please
 # check the tutorial [Indexed image in 5 minutes](@ref demo_indexed_image).
 
 save("assets/watershed.gif", cat(img, colored_labels, masked_colored_labels; dims=3); fps=1) #src
diff --git a/docs/examples/spatial_transformation/image_diffview.jl b/docs/examples/spatial_transformation/image_diffview.jl
@@ -5,7 +5,7 @@
 # date: 2020-03-07
 # ---
 
-# This demonstration shows some common tricks in image comparision -- difference view
+# This demonstration shows some common tricks in image comparison -- difference view
 
 # People with MATLAB experiences would miss the function
 # [`imshowpair`](https://www.mathworks.com/help/images/ref/imshowpair.html), but in JuliaImages

diff --git a/docs/src/install.md b/docs/src/install.md
@@ -40,7 +40,7 @@ These backends aren't exclusive to each other, so if you're a macOS user, you ca
 backends. And in most cases, you don't need to directly interact with these backends, instead, we
 use the `save` and `load` provided by the [`FileIO.jl`](https://github.com/JuliaIO/FileIO.jl)
 frontend. If you've installed multiple backends then `FileIO` will choose the most appropriate
-backend acoording to your file format. For example, if available `ImageIO` is used to load PNG
+backend according to your file format. For example, if available `ImageIO` is used to load PNG
 files.
 
 Adding these gives you a basic image IO setup:

diff --git a/docs/src/pkgs/index.md b/docs/src/pkgs/index.md
@@ -57,7 +57,7 @@ you are interested in most.
 
 !!! tip
     For package developers, `Images.jl` is usually a large dependency to be included in the `deps` section of
-    your `Project.toml`. Hence it is reccomended to add only `ImageCore` together with the exact sub-packages
+    your `Project.toml`. Hence it is recommended to add only `ImageCore` together with the exact sub-packages
     you need. You can use `@which` to find out the exact package and file a method/function belongs to.
 
 JuliaImages is not a closed ecosystem; it works nicely with many other packages outside of JuliaImages.