How to round a value to the nearest value in an array?

I have a large matrix of orientation values from an image and want to round them to the nearest value from an array.

What I have right now is a very long and overly complicated if/else statement that looks like this:

array = [0, 45, 90, 135];
if ((value(x, y) >= 0 && value(x, y) < 22.5) || (value(x, y) >= 157.5 && value(x, y) < 202.5) || (value(x, y) >= 337.5) && (value(x, y) <= 360))
    value(x, y) = array(1);
elseif ((value(x, y) >= 22.5) && (value(x, y) < 67.5) || (value(x, y) >= 202.5) && (value(x, y) < 247.5))
    value(x, y) = array(2);
...
end

What I would like is something that resembles more the following, or any MATLAB type shortcut:

array = [0, 45, 90, 135];
value(x, y) = roundToNearest(value(x, y), array);

Answer 1

[Ameer Hamza]

You can use interp1() with 'nearest'

array = [0, 45, 90, 135];
value; % matrix
value_rounded = interp1(array, array, value, 'nearest', 'extrap')

Answer 2

[Bjorn Gustavsson]

At the file exchange I quickly found a couple of contributions that allows rounding to some desired precision. For this case could you use something like:

y_rounded = 45*round(y_values/45);

HTH