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2018 Artificial Atom Algorithm in Image Processing Applications

In 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.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Burak Açma Emine Çiftçi Burhan Selcuk

431 293
Subject Area: Computer Science Broadcast Area: International Type: Oral Paper Language: English