Histogram features of osmf images for classification by aann

Oral Submucous Fibrosis (OSMF) is an insidious chronic progressive precancerous condition of the oral cavity and oropharynx with a high degree of malignant potential. It is a precancerous condition associated with the use of areca nut in various forms. there is a progressive inability to open the mouth and tongue movement gets restricted to varying degrees depending up on the severity of the disease process thus it becomes essential to intervene the disease at an early stage to avoid progression to cancer. histopathological investigations are the gold standards for diagnosis , but subjective variations are always problematic. Computer aided classification with image analysis techniques are on the research line already with some positive outcomes this research has attempted to classify osmf microscopic images with aann classiffer by using histogram features