The colorimetric randomized algorithm

Abstract

[eng] Color is a circular feature of the surface of each object and we are surrounded by a rich range of colors. Color deteration in images is one of the fundamental problems in image analysis. The randomized algorithm attempts to arrive at a highly or approximately correct result by choosing random intermediate results. The original algorihtms, where this colorimetric randomized algorithm and other similar algorithms derive from, are the Monte Carlo and Las Vegas randomized algorithms. The problem to solve is that we have a set of colors to obtain (randomly) from the pixels in the picture and comparing them with a set of colors that are saved in the database. To present the algorithm in a more vivid way we have an app “Flag Reconizer”. The can observe three different results: the set of colors obtained from the picture, the flag or list of flags that are recognized within the app and the time as a final result which represents how much it took to get the right flag or set of flags. The colorimetric randomized algorithm is something that could be really helpful with a continuous integration and development