Image classification and retrieval using optimized Pulse-Coupled Neural Network
We propose an image classification and retrieval technique using PCNN and K-NN. We optimized the PCNN parameters using genetic algorithm. We implemented a prototype to validate our proposed technique. The results are represented and measured with precision, recall and accuracy. The proposed technique proved its efficiency in classifying and retrieving images with comparison to other techniques.
image classification genetic algorithm content-based image retrieval (cbir) visual features pulse-coupled neural network (pcnn) image signature k-nearest neighbor