A medical image enhancement algorithm based on indiscernibility relation
Wang Li-l · Journal of Liaoning Technical University · 2013
In order to enhance identification of interested region in medical image,an enhanced algorithm(Rough Computed Tomography Algorithm,RCTA)according to the characteristics of CT graph in medical images was proposed.This algorithm is based on indiscernibility relation theory in Rough Set,and the equivalence relation was defined according to the characteristic of different human tissue in medical image corresponding to different CT value,then the medical image was divided into different regions.The gray value of interested region remains unchanged,and the gray value of other region is for maximization/minimization.Experiments with RCTA algorithm were done on clinical more than 300 pulmonary medical images,finally,the RCTA and other three kinds of commonly used enhancement algorithms were quantitatively contrasted by means of DSM.The results show that RCTA has a good effect on identification enhancement of interested region in medical image.