Medical Image Retrieval Based on Second-generation Wavelet Transform
Yan Xia Gao · Journal of Hunan Institute of Engineering · 2009
Texture feature extraction is an important part in content-based image retrieval.This paper proposes a simple and effective texture feature extraction algorithm.It uses the luminance property of the original image and the variance informantion of different subbands of the second-generation wavelet transform to form the descriptor.Compared with the previous retrieval algorithm using traditional wavelet transform,this algorithm has low-dimensional feature indexing and little computation.Experimental results on the medical database show that the proposed algorithm is greatly effective in image's retrieval.Furthermore,it is almost invariant to translation,rotation,scale and mirror.