docs: rename menu titles (#48)

close: #46

Author: EscapedGibbon

docs/Features/Comparison/add.md renamed to docs/Features/Comparison/Addition.md

@@ -4,7 +4,7 @@
 This method works only with images.
 :::
 
-Add method, opposed to [subtract](./subtract.md 'internal link on subtract'), takes another Image and makes an addition between each respective pixel value.
+Add method, opposed to [subtraction](./Subtraction.md 'internal link on subtract'), takes another Image and makes an addition between each respective pixel value.
 It works like this:
 
 ```ts

docs/Features/Comparison/Comparison.md

@@ -3,10 +3,10 @@ The specific reasons for comparing images depend on the application and the desi
 
 ### Methods that can be applied on Images only
 
-- [add](./add.md 'internal link on add')
+- [add](./Addition.md 'internal link on add')
 
-- [hypotenuse](./hypotenuse.md 'internal link on hypotenuse')
+- [hypotenuse](./Hypotenuse.md 'internal link on hypotenuse')
 
 ### Methods that can be applied on Images and Masks
 
-- [subtract](./subtract.md 'internal link on subtract')
+- [subtract](./Subtraction.md 'internal link on subtract')

docs/Features/Comparison/hypotenuse.md renamed to docs/Features/Comparison/Hypotenuse.md

@@ -1,4 +1,4 @@
-`fill` method fills the whole Mask with a designated value.
+Fill method fills the whole Mask with a designated value.
 It works like this:
 
 ```ts

docs/Features/Comparison/subtract.md renamed to docs/Features/Comparison/Subtraction.md

@@ -11,7 +11,7 @@ Blur, also known as average blur or box blur, is a simple image processing techn
 <BlurDemo />
 
 Box blur is particularly effective in reducing [salt-and-pepper](https://en.wikipedia.org/wiki/Salt-and-pepper_noise 'wikipedia link on salt and pepper noise') noise (random black and white pixels) and minor imperfections in an image. However, it also leads to loss of finer details, so the choice of [kernel](../../Glossary.md#kernel) size is important.
-More advanced blurring techniques, such as [Gaussian blur](./gaussianBlur.md 'internal link to gaussian blur') or [bilateral filter](https://en.wikipedia.org/wiki/Bilateral_filter 'wikipedia link on bilateral filters'), are often used for better results in various applications.
+More advanced blurring techniques, such as [Gaussian blur](./Gaussian%20Blur.md 'internal link to gaussian blur') or [bilateral filter](https://en.wikipedia.org/wiki/Bilateral_filter 'wikipedia link on bilateral filters'), are often used for better results in various applications.
 
 ### Parameters and default values
 

docs/Features/fill.md renamed to docs/Features/Fill.md

@@ -8,27 +8,27 @@ sidebar_position: 0
 
 ### Methods that can be applied on Images only
 
-- [Grayscale](grayscale.md 'internal link on grayscale')
+- [Grayscale](./Grayscale.md 'internal link on grayscale')
 
-- [Blur](Blur.md 'internal link on blur')
+- [Blur](./Blur.md 'internal link on blur')
 
-- [gaussianBlur](./gaussianBlur.md 'internal link on gaussianBlur')
+- [gaussianBlur](./Gaussian%20Blur.md 'internal link on gaussianBlur')
 
 - [Gradient](./Gradient.md 'internal link on gradient')
 
 - [Derivative](./Derivative.md 'internal link on derivative')
 
 - [Median](./Median.md 'internal link on median')
 
-- [level](./level.md 'internal link on level')
+- [level](./Level.md 'internal link on level')
 
 - [pixelate](./Pixelate.md 'internal link on pixelate')
 
 ### Methods that can be applied on Masks only
 
-- [and](./and.md 'internal link on and')
+- [and](./Logical%20conjunction.md 'internal link on and')
 
-- [or](./or.md 'internal link on or')
+- [or](./Logical%20disjunction.md 'internal link on or')
 
 ### Methods that can be applied on Images or Masks
 

docs/Features/Filters/Blur.md

@@ -41,7 +41,7 @@ Keep in mind that gradient filters can be sensitive to noise and might result in
 
 Here's how gradient filter is implemented in ImageJS:
 
-_Grayscale Conversion_: Before applying a gradient filter, the color image is converted into [grayscale](grayscale.md 'link to grayscale filter'). This simplifies the processing by reducing the image to a single channel representing pixel intensities.
+_Grayscale Conversion_: Before applying a gradient filter, the color image is converted into [grayscale](./Grayscale.md 'internal link on grayscale filter'). This simplifies the processing by reducing the image to a single channel representing pixel intensities.
 
 _Kernel Operators_: Gradient filter consists of small convolution [kernels](../../Glossary.md#kernel 'glossary link on kernel'). Normally, one for detecting horizontal changes and another for vertical changes, however user might indicate only one kernel to check only one of directions. These kernels are usually 3x3 matrices of numerical weights.
 
@@ -52,7 +52,7 @@ _Gradient Magnitude and Direction_: For each pixel, the gradient magnitude is ca
 _Edge Detection_: The gradient magnitude values are used to identify regions of rapid intensity change, which correspond to edges in the image. Higher gradient magnitude values indicate stronger edges.
 
 :::tip
-_Thresholding_: To further refine the edges detected, a [thresholding](../Operations/threshold.md 'internal link on threshold filter') step is often applied. Pixels with gradient magnitudes below a certain threshold are considered as non-edges, while those above the threshold are considered edges. This helps in reducing noise and emphasizing significant edges.
+_Thresholding_: To further refine the edges detected, a [thresholding](../Operations/Threshold.md 'internal link on threshold filter') step is often applied. Pixels with gradient magnitudes below a certain threshold are considered as non-edges, while those above the threshold are considered edges. This helps in reducing noise and emphasizing significant edges.
 :::
 
 </details>