Abstract
In this paper, we propose a novel method for the classification of small bowel images into normal or abnormal class for automatic detection of cancers. We extract the Fourier features from the input small bowel image, and then the Zernike moment features are computed from the Fourier features. We then use the canonical discriminant analysis (CDA) to classify the small bowel images to normal or abnormal class. Experimental results show that the proposed method achieves the highest correct classification rate 100% for this problem. Our method is computationally very efficient. It can be used to automate the classification of capsule endoscopic images and to reduce the cost of interpreting those images that are acquired in clinical setting.
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Guangyi Chen holds a B.Sc. in Applied Mathematics, an M.Sc. in Computing Mathematics, an M.Sc. in Computer Science, and a Ph.D. in Computer Science. During his graduate and postdoctoral studies, he was awarded a Visiting Fellowship in Canadian Government Laboratories, an NSERC postdoctoral fellowship, a Canadian Space Agency Postdoctoral Fellowship Supplement, an NSERC PGS B Fellowship, an FCAR Scholarship, the J.W. McConnell Memorial Graduate Fellowship, and the Concordia University External Award Holder Doctoral Fellowship. He is currently an Editor for the International Journal of Applied Mathematics and Statistics. His research interests include pattern recognition, signal/image/video processing, machine learning, artificial intelligence, and scientific computing.
Tien D. Bui is a full Professor in the Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada. Before joining Concordia he was with the Department of Mechanical Engineering at McGill from 1971 to 1974. He joined the Department of Computer Science at Concordia in 1974, was promoted to full professor in 1984, and became Chair of the Department from 1985 to 1990. In June 1992 he was appointed Associate Vice-Rector Research at the same university. He served on this position until 1996. Dr. Bui has been on various governing bodies of the University including its Senate. He was a member of the Boards of Directors of many research centers and institutes in Quebec including the Centre de Recherche Informatique de Montreal Inc. (CRIM), the Institut de Recherche sur les Populations (IREP), the Institut des Sciences Mathematiques (ISM), GRIAO (a consortium of many research labs on VLSI in Quebec universities). He was also a member of the Committee of Vice-Rectors Research in Quebec (CREPUQ). Currently he is an Associate Editor of Signal Processing (EURO-SIP), the International Journal of Wavelets, Multi-resolution and Information Processing, and the Journal of Wavelets and Applications. He was member of the organizing or program committees of many international conferences including the series of International Conferences on Wavelet Analysis and Its Applications, the International Conferences of Image Analysis and Recognition, the Int. Conference on the Frontier of Hand Writing Recognition. He has served as member on grant selection committees and as external reviewer for federal and provincial granting agencies including the Quebec Government MESS Selection Committee of international exchange programs. Dr. Bui has received many research grants over the years, and published widely in many different areas in scientific journals and conference proceedings. He is co-author of the book Computer Transformation of Digital Images and Patterns published by World Scientific Publishing Co., 1989. He was invited professor at the Istituto per le Applicazioni del Calcolo, Rome, Italy in 1978–1979, and a visiting professor at the Department of Mechanical Engineering, and the Lawrence Berkeley Lab. of the University of California at Berkeley in 1983–1984.
Adam Krzyzak received the M.Sc. and Ph.D. degrees in computer engineering from the Technical University of Wroclaw, Poland, in 1977 and 1980, respectively, and the D.Sc. degree (habilitation) in computer engineering from the Warsaw University of Technology, Poland in 1998. In 1980, he became an assistant professor in the Institute of Engineering Cybernetics, Technical University of Wroclaw, Poland. From November 1982 until July 1983, he was a postdoctorate fellow receiving the International Scientific Exchange Award in the School of Computer Science, McGill University, Montreal, Canada. Since August 1983, he has been with the Department of Computer Science, Concordia University, Montreal, Canada, where he is currently a professor. In 1991, he held the Vineberg Memorial Fellowship at Technion-Israel Institute of Technology and in 1992 the Humboldt Research Fellowship at the University of Erlangen-Nurnberg, Germany. He visited the University of California at Irvine, Information Systems Laboratory at Stanford University, Riken Frontiers Research Laboratory, Japan, Stuttgard University, Technical University of Berlin and Technical University of Szczecin, Poland. He published over 150 papers on neural networks, pattern recognition, image processing, computer vision, control and nonparametric estimation. He has been an associate editor of IEEE Transactions on Neural Networks and is presently on editorial board of Pattern Recognition Journal and Journal of Neural, Parallel and Scientific Computations. He was co-editor of the book Computer Vision and Pattern Recognition (Singapore: World Scientific, 1989) and is co-author of the book A Distribution-Free Theory of Nonparametric Regression, Springer-Verlag, 2002. He has served on the program committees of Vision Interface’88, Vision Interface’94, Vision Interface’95, Vision Interface’99, 1995 International Conference on Document Processing and Applications, and International Conference on Computer Vision, Pattern Recognition, and Image Processing, 1998, 2000, 2002. He co-organized a workshop at NIPS’94 Conference and was a session organizer at the Third World Congress of Nonlinear Analysis, Catania, Italy 2000. Dr. Krzyzak is a Senior Member of IEEE.
Sridhar (Sri) Krishnan (SM’05) received the B.E. degree in electronics and communication engineering from Anna University, Madras, India, in 1993, and the M.Sc. and Ph.D. degrees in electrical and computer engineering from the University of Calgary, Calgary, AB, Canada, in 1996 and 1999, respectively. In July 1999, he joined the Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada, where he is currently a Professor and a Canada Research Chair in biomedical signal analysis. Prof. (Sri) Krishnan is also a recipient of the Engineers’ Canada Young Engineer Achievement Award.
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Chen, G., Bui, T.D., Krzyzak, A. et al. Small bowel image classification based on Fourier-Zernike moment features and canonical discriminant analysis. Pattern Recognit. Image Anal. 23, 211–216 (2013). https://doi.org/10.1134/S1054661813020089
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DOI: https://doi.org/10.1134/S1054661813020089