I have a 2D image randomly and sparsely scattered with pixels.
given a point on the image, I need to find the distance to the closest pixel that is not in the background
Personally, I'd ignore MusiGenesis' suggestion of a lookup table.
Calculating the distance between pixels is not expensive, particularly as for this initial test you don't need the actual distance so there's no need to take the square root. You can work with distance^2, i.e:
r^2 = dx^2 + dy^2
Also, if you're going outwards one pixel at a time remember that:
(n + 1)^2 = n^2 + 2n + 1
or if nx is the current value and ox is the previous value:
nx^2 = ox^2 + 2ox + 1
= ox^2 + 2(nx - 1) + 1
= ox^2 + 2nx - 1
=> nx^2 += 2nx - 1
It's easy to see how this works:
1^2 = 0 + 2*1 - 1 = 1
2^2 = 1 + 2*2 - 1 = 4
3^2 = 4 + 2*3 - 1 = 9
4^2 = 9 + 2*4 - 1 = 16
5^2 = 16 + 2*5 - 1 = 25
etc...
So, in each iteration you therefore need only retain some intermediate variables thus:
int dx2 = 0, dy2, r2;
for (dx = 1; dx < w; ++dx) { // ignoring bounds checks
dx2 += (dx << 1) - 1;
dy2 = 0;
for (dy = 1; dy < h; ++dy) {
dy2 += (dy << 1) - 1;
r2 = dx2 + dy2;
// do tests here
}
}
Tada! r^2 calculation with only bit shifts, adds and subtracts :)
Of course, on any decent modern CPU calculating r^2 = dx*dx + dy*dy might be just as fast as this...