QaR Tree Method for Optimal Image Particle Decomposing

The novel definition of image particle is proposed firstly.Then procedure of image particle decomposing is accomplished via QaR tree.Finally,the optimal comparative evaluation from QaR tree to other classic algorithms is given.Experimental results reveal that on the basis of accuracy and redundancy,QaR tree method holds better effects than other existing methods,and its results are closer to local image regions consisting of image space and image data.