Image intelligent retrieval with blocking wavelet and PSO
Xianjun Shen · Journal of Hubei University · 2010
Considering that the quality of the outcomes provided by color histogram-based image search was usually rather limited when it was applied to fast similarity search in the large image databases,which was based on blocking wavelet-histogram image similarity retrieval method and particle swam optimization(PSO),an innovative approach was proposed.The experimental results showed that this algorithm by combining blocking wavelet transformation and particle swarm optimization with color histogram-based image retrieval could get the higher retrieval performance and the quicker speed to the similarity search in images database.