This week we are presenting the paper “Testing the Differences of Using RGB and HSV Histograms During Evolution in Evolutionary Art” in the Evolutionary Computation Theory and Applications.
This is the work we developed in the Hackathon of the Spanish Free Software Contest of the University of Granada with the help of several students of our university (who are also authors!).
In this work we have added Processing to our OSGiLiath (service oriented architecture for evolutionary algorithms) framework to generate images from individual representations to work with generative art. The fitness is the equality to a predefined image. HSV, RGB and a combination of both have been used.
This paper compares the use of RGB and HSV histograms during the execution of an Evolutionary Algorithm. This algorithm generates abstract images that try to match the histograms of a target image. Three different fitness functions have been used to compare: the differences between the individual with the RGB histogram of the test image, the HSV histogram, and an average of the two histograms at the same time. Results show that the HSV fitness also increases the similarities of the RGB (and therefore, the average) more than the other two measures.
And here is the poster: