A novel image retrieval method based on multi-features fusion

摘要

Image retrieval is an important research topic in pattern recognition and computer vision. We propose a novel content-based image retrieval method. At the image description stage, our method first modifies the traditional micro-structure descriptor (MSD) to capture the direct relationship between the shape and texture features and that between the color and texture features. Our method then extracts the uniform local binary patterns (LBP) histogram of the image to capture the color difference information. At the image comparison stage, our method first compares the descriptors of the images to compute their similarities. The similarity between each pair of images is then updated by also considering the similarities to comparable images within the dataset. Accordingly, our method obtains the final similarities of the images. Experimental results demonstrate the effectiveness of our method for image retrieval.