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