A New Approach for Image Retrieval Based on Color and Spatial Features
Du Zhi · Infrared Technology · 2007
A new kind of color image retrieval algorithm based on color and spatial features was presented.In the first place,annular color segmentation can be arrived according to center of mass of every kind of color.Then the spatial-color moment can be attained based on the annular color histogram.At the same time the average saliency map of all pixels of every kind of color can be vision attention of every kind of color.The spatial-color moments and average saliency map of every kind of color can be used as the character vector of color images.The Gaussian model is used to normalize the different sub-characters distance to the character vector.The similarity of the querying image and other images is computed by the L1-norm distance.Experiments indicate that this method give better performance than SCH and geostat.