Combining Salient Points and Visual Perception Texture Features for Image Retrieval

This paper reseaches on content-based image retrieval based on salient points and visual perception texture features. First, we analysis local features for image indexing. In content-based image retrieval, the method based on salient points detection is one of the most active research areas for it can represent the local properties of the image. This paper introduces an improved salient points detector based on wavelet transform. Second, we introduce some new texture features based on wavelet transform‘s subbands which coincide with human eyes perception. Then, Color moments and the introduced visual perception texture features of the regions around the salient points were computed as a features vector used for indexing the image. We tested the proposed scheme using a wide range image samples from the Corel Image Library, the experimental results indicating that the method has produced a promising result.