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Published in:
2005 | OriginalPaper | Chapter
Detecting Abnormalities in Capsule Endoscopic Images by Textural Description and Neural Networks
Authors : V. S. Kodogiannis, E. Wadge, M. Boulougoura, K. Christou
Published in: Advances in Informatics
Publisher: Springer Berlin Heidelberg
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In this paper, a detection system to support medical diagnosis and detection of abnormal lesions by processing endoscopic images is presented. The endoscopic images possess rich information expressed by texture. Schemes have been developed to extract 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 an advanced neural network 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.