Medical image processing: A brief survey and a new theoretical hybrid ACO model

Abstract

The current paper includes a brief survey on image processing, in particular for medical image processing, including the main algorithms on segmentation and margin detection. Both mathematical background and algorithms are detailed. Some of the most efficient ant-based algorithms used for image processing are also described. It is also introduced a new theoretical hybrid Ant Colony Optimization model in order to enhance medical image processing. The newly introduced model uses artificial ants with different levels of “sensitivity” and also a model of “direct” communication as in Multi-Agent Systems.