Artificial Atom Algorithm in Image Processing Applications
Burak Açma Emine Çiftçi Burhan Selcuk
AbstractIn this study, Artificial Atom Algorithm, which is a new meta-heuristic algorithm approach, have been used to calculate the threshold value which is frequently performed in image processing applications. The entropy-based method has been adopted for the target function which is common in the meta-heuristic algorithms. For this aim, Shannon entropy and a new entropy method, Fractional Order Entropy, have been used. It is seen on standard test images that the Artificial Atom Algorithm can be applied to image processing applications. In addition, the results of the application were supported by comparing the values produced by certain parameters of fractional entropy with the values produced by Shannon Entropy.