Lung X-Ray Image Segmentation Using Heuristic Red Fox Optimization Algorithm

Medical image segmentation identifies an area that should be analyzed later in the processing process, such as for disease recognition and classification. As search is reduced, this action allows faster computation analysis. We propose use of a heuristic red fox optimization algorithm (RFOA) medical paper. The heuristics’ operation was adapted to analysis two-dimensional images, with focus on equation modification novel fitness function. proposed solution analyzes by converting selected pixels one two color variants, black or white, based threshold value used. Their number counted, allowing chosen threshold. result, results automatic selection parameter. Our method new function adjustment RFOA used publicly available database lung X-ray images evaluation, results, accuracy performed, well discussion benefits drawbacks presented.