Algorithm of Adaptive Lifting Scheme-based Texture Image Retrieval
Zou Bei-ji · Journal of Chinese Computer Systems · 2009
There are two disadvantages in the image retrieval based on wavelet transforms.The one is that unsuitable decomposition of image leaded by noise may influence the retrieval result,the other is the gradient information extracted from sub-images,as one of features,is over sensitive to geometry transforms.In this paper,a novel algorithm for image retrieval using a new descriptor named Gradient Amplitude Descriptor(GAD),which aims at improving the adaptive wavelet lifting scheme based on Neville filters is proposed.To measure the geometrical and visual similarity between images,the Synthetic Sorted Gradient Direction Histogram(SSGDH) is generated,as a new feature vector,by gradient calculation of wavelet coefficients.Comparisons with prior methods show superiority in achieving both robustness to geometrical variations and optimum acutance matching to human visual perception.