Texture Image Retrieval Based on Independent Texton Moment

Based on statistic method and visual perception mechanism,we put forward a novel texture feature,called independent texton moment （ITEM）.ITEM learns the independent texton filters from an image set by independent component analysis.After filtering texture images with such independent texton filters,ITEM features are obtained by extracting the first moment and second moment from the filtering coefficients.Experiments based on the Brodatz benchmark show that ITEM has reached to 79.27％ for precision and recall,an increase of 6％ in comparison with Gabor. Moreover,the feature extracting speed for ITEM is hundreds times faster than that for Gabor in the condition of equal dimension for the feature vector.