Image retrieval based on swarm intelligence

To keep pace with the development of modern technology in this information era, and immense image databases, whether personal or commercial, are increasing, is requiring management these databases to strong accurate systems retrieve images high efficiency. Because swarm intelligence algorithms great importance solving difficult problems obtaining best solutions. Here research, a proposed system designed color based on algorithms. Where algorithm ant colony optimization (ACOM) intelligent water drop (IWDM) was used improve system's work by conducting clustering process two methods features extracted annular moment method (ACM) obtain clustered data, amount similarity between them query image, calculated from database, efficiently short time. In addition, improving hybridizing fuzzy method, gath geva (FGCA) new efficiency hybrid (FACOM) (FIWDM) retrieving whose performance values calculating precision, recall f-measure. It proved its comparing it FGCA without hybridization, excellent.