In the image below, you'll notice I've circled (in purple) some bits of small color. This image is created using layered perlin noise. This is not done in real-time, and so is not heavily performance reliant... Accuracy is more important. I'm happy with the outcome with the exception of the small bits that I've circled. So I now need an algorithm to either; 1.) Process the image to see if these "errors" exist, and if so produce a new image. or 2.) Process the image and blend the small errors with their larger counterpart (eg. a tiny spec of brown in a big orange section will blend to orange).
I should add, they're errors because the region of color is too small. So the algorithm's primary function would be to detect the size of the colored region.
EDIT: Solutions can be in any common language (C, C++, C#, JAVA, or even psuedocode), I can work it from there.
Edited by romobomo, 20 December 2012 - 07:35 PM.