Rotation-invariant texture image retrieval using particle swarm optimization and support vector regression
A rotation-invariant texture image retrieval technique adopts the PSO and the SVR. LPM-FFT, Gabor filter, and Zernike moment are utilized to extract image features. The PSO algorithm is utilized to select a nearly optimal parameter set for the technique. The technique uses the SVR to promote its image-retrieval efficiency. The technique outperforms other existing rotation-invariant image retrieval methods.
particle swarm optimization support vector regression zernike moment content-based image retrieval log-polar mapping fast fourier transform