Using the concept of convolutional based filtering; develop a sequence of robust image

processing and analysis steps to detect and highlight all the instances of the template

letters $"$L$"($Figure Q$1\mathrm{.}2)$ and $"$T$"($Figure Q$1\mathrm{.}3)$ in the source image $($Figure Q$1\mathrm{.}1).$

Assume both the source and template images are binary. You can assume that the

template images are of the same scale as their corresponding entries in the source

image.

Implement your solution in pseudo code.

What happens if you apply the templates to a rotated version of the source image?

Comment on the robustness of your approach in the presence of Impulse $($salt and

pepper$)$ noise.