System of medical image segmentation using ant colony optimization

The article presents an image-processing system using a combined ant colony optimization algorithm and K-means. We have developed the possibility of working directly with «raw» medical images and integration into the segmentation algorithm of K-Means and ant colonies. We have implemented and analyzed amixed segmentation algorithm of K-means and ant colony optimization. The software system has been implemented to visualize and test the developed algorithm. We have tested the algorithm using data from the Ossiriss system. We have also compared the obtained data of the developed method with automatic algorithms (C-Means) and interactive methods (the algorithm Magic Wand). The article shows the output images and values of heuristic coefficients of the algorithm.