Image retrieval method on image features of fuzzy clustering
Li La · Journal of Tsinghua University(Science and Technology) · 2014
Most image retrieval methods are conducted based on the features of the image transform domain of retrieval,with the image of real property not seized with low retrieval efficiencies and low retrieval precisions.Aiming at this problem,this paper presents an image retrieval method based on the clustering shape according to different visual features of the content(shape,color,and texture),combining the local and global features.Object shapes including images were described using the Fourier transform method,with two-way empirical mode decomposition then used to detect image edges and fuzzy clustering retrieval used to complete image semantic category retrieval.Institution supervision mechanism was applied to the fuzzy clustering algorithm so that the shape identification category was represented by a set of tags on behalf of the shape,with the shape of the export prototype retrieving the similar shape.Compared with the conventional retrieval methods,the results show that the developed method significantly improves the retrieval accuracy.