Color Image Retrieval Algorithm Using Self-similar Characteristic
Haoxiang Sun · Journal of Chinese Computer Systems · 2008
Traditional fractal methods used in image retrieval have disadvantages that can't incarnate the colory self-similar characteristic well,and have large calculation and low velocity,in order to resolve these problems,a self-similar characteristic coding method is proposed,which expands the code space from gray space to the color space,and can incarnate the colory self-similar characteristic effectively.In order to achieve a better retrieval effect,feature vector is constructed through singular value decomposing the self-similar characteristic code,and a similarity formula is defined for supporting the image retrieval.Experiments showed that the proposed algorithms are feasible and valid.