Fuzzy recognition of necrosis area in pathological image of virus hepatitis

This paper analyses some of the texture features of necrosis area in the pathological image of virus hepatitis. It presents an algorithm based on the fuzzy set theory to recognize necrosis area. In this algorithm, the renewed standard of the fuzzy classification center V is based on position-dependent information of the texture unit. Furthermore, the algorithm effectually initiates fuzzy classification matrix U. It can reduce the calculation and iteration frequency. The experiment results show high speed and high recognition rate of the algorithm