Content-Based Image Retrieval Using Wavelet Spatial-Color and Gabor Normalized Texture in Multi-resolution Database

Image retrieval is one of the most exciting and fastest growing research areas in the field of multimedia technology. This paper proposes a new efficient image retrieval method that applies a weighted combination of color and texture to the wavelet transform, based on spatial-color and second order statistics, respectively. To evaluate the performance of the proposed algorithm, we assess the simulation´s performance in terms of average precision and Fscore using several image databases, and perform comparative analysis with existing methods such as MPEG-7. The experimental results show that the proposed approach significantly improves the effectiveness of image retrieval. The proposed descriptor is particularly useful for multi-resolution image search and retrieval.