[FEAT] Add dilate and erode operations to Tensor

[BritishWerewolf]

This PR is inspired by the functionality of OpenCV.

With this, we can create a kernel that is operated over each element of the data array and performs some calculation.
For this PR, we only have dilate and erode.

I decided to set these functions to async, despite that making the chaining a bit clunkier, since these functions are often used together.

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Explanation

kernel

This is an array of 0s and 1s that will be applied to each element of the data array, 1 by 1.

There are multiple shapes supported in this PR, they are: RECT, CROSS, ELLIPSE.
Consider a 5x5 kernel for each shape:

• RECT:

  1 1 1 1 1
  1 1 1 1 1
  1 1 1 1 1
  1 1 1 1 1
  1 1 1 1 1
  

• CROSS:

  0 0 1 0 0
  0 0 1 0 0
  1 1 1 1 1
  0 0 1 0 0 
  0 0 1 0 0 
  

• ELLIPSE:

  0 0 1 0 0
  0 1 1 1 0
  1 1 1 1 1
  0 1 1 1 0 
  0 0 1 0 0 
  

The element we are checking will be in the centre, and then it will apply this kernel to all those values around it.
Any value of 1 will be included and 0 will be discarded.

dilate

Once we have a list of values for that element, we will apply a Math.max to return the biggest value of these.

Consider this Tensor.

 1  2  3  4  5
 6  7  8  9 10
11 12 13 14 15
16 17 18 19 20
21 22 23 24 25

If we were to apply CROSS with a kernel size of 3x3, then the first iteration would return the values of [1, 2, 6]. This is because the top and left side of the kernel are off the edge.

When the loop gets to the value of 13, the extracted values would be [8, 12, 13, 14, 18].

Finally, the value in each instance will be replaced with the maximum value.
Again, in the case of the first element, that would be 6 and for the centre element, that would be replaced with 18.

erode

This works in the exact same way as dilate, however it will apply the Math.min to the elements instead.

[BritishWerewolf]

Originally I was not using the if statement, and utilising the fact that a kernel contains either 0 or 1, however that meant that kernelValues array would be bigger than it needs to be.

Also, erode wouldn't work properly because 0 is always the minimum value.

[BritishWerewolf]

The purpose of this function is to help users with passing in kernel values.

To get a 3x3 kernel to the erode function we can do this:

• tensor.erode(3)
• tensor.erode([3, 3])
• tensor.erode({ width: 3, height: 3 })

Most likely we want a symmetrical kernel, and it's easier to just pass in a single number.