BINARY PARTICLE SWARM AND FUZZY INFERENCE FOR IMAGE CLASSIFICATION
In this paper, binary particle swarm and fuzzy inference considered for the image classification problem. A combination of binary particle swarms and fuzzy inference logic is applied on the classifier output produces with self organizing maps and particle swarm optimization. Several MPEG-7 colour and texture descriptors are used in this paper. The proposed approach, improves precision of the retrieved images whiles keeping high values for recall.