V.S. Kodogiannis and M. Boulougoura An Adaptive Neurofuzzy Approach for the Diagnosis in Wireless Capsule Endoscopy Imaging

Computerised processing of medical images can ease the search of the representative features in the images. The endoscopic images possess rich information expressed by texture. In this paper schemes have been developed to extract new texture features from the texture spectra in the chromatic and achromatic domains for a selected region of interest from each colour component histogram of images acquired by the new M2A Swallowable Capsule. The implementation of a neurofuzzy scheme and the concept of fusion of multiple classifiers have been also adopted in this paper. The preliminary test results support the feasibility of the proposed method.