A New Algorithm for Image Retrieval Based on Texture
Lina Tan, Yi Yao · 2008
In this paper, a novel algorithm for image retrieval using a new selector 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.