Δημοσιεύσεις - Φωτόπουλος
Signal and Image processing
[1] G. Economou, S. Fotopoulos and M. Vemis, 'A family of Nonlinear Filters with data Dependent Coefficients', IEEE Trans. on Signal Processing, Vol. 43, pp. 318-322, January 1995.
[2] M. Vemis, G. Economou, S. Fotopoulos and A. Khodyrev, 'The use of Boolean functions and local operations for edge detection in images', Signal Processing, Vol. 45, pp. 161-172, 1995.
[3] A. Ifantis, A. Fotinos, G. Economou and S. Fotopoulos, 'Fuzzy Identification of Seismic Electric Signals', Applied Signal Processing, No. 6, pp. 33-41, 1999.
[4] Ch. Theoharatos, V. Tsagaris, G. Economou, S. Fotopoulos and V. Anastassopoulos, “Edge Detection of Multispectral Images Using Nonparametric Local Density Estimation”, in Proc. Signal Processing, Pattern Recognition, and Applications, SPPRA 2003, Rhodes, Greece, June 30 - July 2, 2003.
Fuzzy image processing
[1] A. Fotinos, N. Laskaris and S. Fotopoulos, 'Fuzzy color filtering using potential functions', DSP '97, 13TH International Conference on Digital Signal Processing, Santorini , Greece, July 2-4, 1997.
[2] A. Fotinos, N. Laskaris, G. Economou and S. Fotopoulos, 'Multidimensional Fuzzy Filtering using Statistical Parameters', Multidimensional Systems and Signal Processing, Vol. 10, pp. 415-424 ,1999.
[3] A. Fotinos, N. Laskaris and S. Fotopoulos, 'Fuzzy Color Filtering using Relative Entropy', Proceedings of EUSIPCO 98 , Rhodes, Greece, pp. 809-812, 8-11 September 1998.
[4] Book Chapter: FUZZY RULE BASED COLOR FILTERING USING STATISTICAL INDICES Series Studies in Fuzziness and Soft Computing Fuzzy Filters for Image Processing, Edited by M. Nachtegael, D. Van der Weken, D. Van De Ville & E.E. Kerre, Physica – Verlag, 2002.
Color image processing
[1] S. Fotopoulos and G. Economou, 'Multichannel Filters using Composite Distance Metrics', 1995 IEEE Workshop on Nonlinear Signal and Image Processing , June 20-22, 1995, Neos Marmaras, Halkidiki, Greece, Vol. II, pp. 503-506 (invited).
[2] D. Sindoukas, S. Fotopoulos and G. Economou, 'Distance Weighted Multichannel Filters', ECCTD 95 European Conference on Circuit Theory & Design, August 1995, Turkey, pp. 829-832.
[3] D. Sindoukas, S. Fotopoulos and G. Economou, 'Color Image Filtering using Generalized Cost Functions', Proc., EUSICO 96 Trieste, Sep. 10-13, 1996.
[4] S. Fotopoulos, D.Sindoukas, N.Laskaris and G.Economou, 'Image enhancement Using Color and Spatial Information', ICASSP 97, Munich, April 21-24, 1997, pp. 2581-2584.
[5] D. Sindoukas, G. Economou, A. Ifantis and S. Fotopoulos, 'Color image enhancement using local density function estimators', DSP '97, 13TH International Conference on Digital Signal Processing, Santorini , Greece, July 2-4, 1997.
[6] N. Laskaris and S. Fotopoulos, 'An efficient Data Mining Technique with applications in Multivariate Image Analysis', DSP '97, 13TH International Conference on Digital Signal Processing, Santorini , Greece, July 2-4, 1997.
[7] D. Sindoukas, N. Laskaris, and S. Fotopoulos, 'Algorithms for Color Image Edge Enhancement Using Potential Functions', IEEE Signal Processing Letters, Vol. 4, No. 9, September 1997.
[8] A. Fotinos, G. Economou, E. Zigouris, and S. Fotopoulos, 'The use of Entropy for colour edge detection', Proc. ICESC' 99, Pafos, Cyprus, Sept. 1999.
[9] A. Fotinos, G. Economou and S. Fotopoulos, 'Use of relative entropy in colour edge detection', Electronics Letters, 1999, Vol. 35, No. 18, pp. 1532-1534.
[10] A. Fotinos, E. Zigouris and S. Fotopoulos, 'Multichannel Filtering using Maximum density ordering', Proc. NORSIG 2000, June 13-15, 2000, Kolmarden , Sweden.
[11] A. Fotinos, S. Fotopoulos and E. Zigouris, 'Colour Filtering using local density information', Electronics Letters, August 2000, Vol. 36, No. 18, pp. 1530-1531.
[12] A Fotinos, G Economou, E. Zigouris, and S. Fotopoulos, 'A Histogram based Multichannel Filter', Proc. of EUSIPCO 2000, Tampere, Finland 4-8 Sept. 2000.
[13] G. Economou, A. Fotinos and S. Fotopoulos, 'Color image edge detection based on Nonparametric density estimation', Proc. Int. Conference on Image Processing (ICIP 2001), 7-10 October 2001, Thessaloniki, Greece, Vol. 1, pp. 922-925.
[14] N. Laskaris and S. Fotopoulos, 'A novel training scheme for Neural-Network based Vector Quantizers and its application in Image Compression', Neurocomputing, Sp. Iss. SI., vol. 61, pp. 421-427, Oct 2004.
[15] Ch. Theoharatos, G. Economou and S. Fotopoulos, “Color Edge Detection using the Minimal Spanning Tree”, Pattern Recognition, vol. 38, no. 4, pp. 603-606, 2005.
Color Image Segmentation and Applications
[1] S. Makrogiannis, G. Economou and S. Fotopoulos, 'A Color Preserving Image Segmentation Method', Proc. European Conference on Circuit Theory and Design (ECCTD ’99), Stressa, Italy, Vol. 2, pp. 928-931.
[2] S. Makrogiannis, G. Economou, E. Zigouris and S. Fotopoulos, 'Segmentation of Color Images Using a Hierarchical Fuzzy Region Merging Technique', Proc. of European Signal Processing Conference (EUSIPCO 2000), Tampere, Finland, Vol. 2, pp. 901-904.
[3] S. Makrogiannis, G. Economou and S. Fotopoulos, 'A Fuzzy Dissimilarity Function for Region Based Segmentation of Color Images', Int. Journal of Pattern Recognition and Artificial Intelligence, Vol. 15, No. 2, pp. 255-267, March 2001.
[4] S. Makrogiannis, S. Fotopoulos, V. Christopoulos, J. Cornelis and P. Schelkens, 'A Very Low Bit Rate Compression Method Using Color Segmentation and Orthogonal Base Function Approximation',Proceedings of International Conference on Augmented, Virtual Environments and Three-Dimensional Images (EUROIMAGE ICAV 3D 2001), May 30-June 01 2001, Mykonos, Greece, pp. 49-52.
[5] S. Makrogiannis, I. Vanhamel, H. Sahli and S. Fotopoulos, 'Scale Space Segmentation of Color Images Using Watersheds and Fuzzy Region Merging', Proc. Int. Conference on Image Processingm (ICIP 2001), 7-10 October 2001, Thessaloniki, Greece, Vol. 1, pp. 734-737.
[6] S. Makrogiannis, P. Schelkens, S. Fotopoulos and J. Cornelis, 'Region Oriented Compression of Color Images Using Fuzzy Inference and Shape Adaptive DCT',Proc. Int. Conference on Image Processing (ICIP 2001), 7-10 October 2001, Thessaloniki, Greece, Vol. 3, pp. 478-481.
[7] S. Makrogiannis G. Economou and S. Fotopoulos, 'A Graph Theoretic Approach for Automatic Segmentation of Color Images',Proc. Int. Workshop on Very Low Bitrate Video Coding (VLBV 2001), 11-12 October 2001, Athens, Greece, pp. 162-166.
[8] S. Makrogiannis, G. Economou and S. Fotopoulos, 'Region oriented compression of color images using fuzzy inference and fast merging', Pattern Recognition , Vol. 35, No. 9, 2002, pp. 1807-1820.
[9] S. Makrogiannis, G. Economou and S. Fotopoulos, 'A fuzzy region dissimilarity measure using feature space information', Proc. of DSP2002, 14th International Conference on Digital Signal Processing , Santorini, Greece, July 1-3 2002, pp1097-1100.
[10] S. Makrogiannis, Ch. Theoharatos, G. Economou and S. Fotopoulos, “Color Image Segmentation using multiscale fuzzy C-means and graph theoretic merging”, IEEE Int. Conf. on ICIP 2003, Barcelona, Spain, 14-17 September 2003.
[11] I. Tziakos, N. Laskaris and S. Fotopoulos, “Multivariate image segmentation using Laplacian eigenmaps”, proc. of EUSIPCO 2004, Vienna, Austria, Sept. 7-10, 2004.
[12] S. Makrogiannis, G. Economou, S. Fotopoulos, and N. G. Bourbakis “Segmentation of color images using multiscale clustering and graph theoretic region synthesis”, IEEE Transactions on System, Man and Cybernetics, Part A: Systems and Humans, vol. 35, no. 2, March 2005.
[13] S. Makrogiannis, G. Economou and S. Fotopoulos, “A region dissimilarity relation that combines feature-space and spacial information for color image segmentation”, IEEE Transactions on System, Man and Cybernetics, Part B: Cybernetics, vol. 35, no. 1, pp. 44-53, Feb. 2005.
[14] S. Makrogiannis, I. Vanhamel, S. Fotopoulos, H. Sahli and J. Cornelis, 'A watershed-based multiscale segmentation method for color images using automatic scale selection', Journal of Electronic Imaging, (accepted April 2004).
Biomedical applications
[1] S. Fotopoulos, G. Economou, A. Bezerianos and N. Laskaris, 'Latency measurement improvement of P100 complex in visual evoked potentials by FMH filters' IEEE Trans. on Biomedical Engineering, Vol.42, No.4, April 1995.
[2] A. Bezerianos, N. Laskaris, S. Fotopoulos, and P. Papathanasopoulos, 'Data dependent weighted averages for recording of evoked potential signals', Electroencephalography and Clinical Neurophysiology, 1995, pp. 468-471.
[3] N. Laskaris, A. Bezerianos and S. Fotopoulos, ‘Unsupervised Artefact Rejection in Evoked Potential Recording by Means of a Novel Nonlinear Technique’ Applied Signal Processing, 1995, 3, pp. 150-154.
[4] N. Laskaris, S. Fotopoulos, A. Bezerianos and A. Manolis, 'Fuzzy-Weighted Averaging for High - Resolution ECG based on exploratory data analysis', Proc., EUSIPCO 96, Trieste, Sep. 10-13, 1996.
[5] N. Laskaris, A. Bezerianos, S. Fotopoulos, and P. Papathanasopoulos, 'A genetic algorithm for the multidimensional filtering process of visual evoked potential signals', Proc. IEEE, 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS Amsterdam, 31st Oct. - 3rd Nov 96.
[6] N. Laskaris, S. Fotopoulos, P. Papathanasopoulos and A.Bezerianos ‘Robust Moving Averages with Hopfield Neural Network Implementation’ Electroencephalography and Clinical Neurophysiology, Vol.104, pp. 151-156, 1997.
[7] N. Laskaris, G. Koudounis, S. Fotopoulos and A. Bezerianos, 'An Intelligent System for the tracking-localization of changes & exploratory analysis of Long-Term ECG', in Proc. of Medical Informatics Europe 97 (MIE 97), May 1997, Porto Carras, Greece, IOS Press, pp. 546-550.
[8] A. Katartzis, H. Sahli, J. Cornelis, S. Fotopoulos and G. Panayiotakis, 'A Model-Based Technique for the Measurement of Skin Thickness in Mammography', Medical & Biological Engineering & Computing, Vol. 40, No. 2, pp. 153-162, 2002.
[9] N.A. Laskaris, S. Fotopoulos and A.A. Ioannidis, “A Data-Mining framework for Intelligent Single-Trial Analysis of Multichannel Encephalographic Recordings”, IEEE Signal Processing Magazine, Special issue on Signal Processing for Mining Information, pp. 66-77, May 2004.
Multimedia Databases / Digital Libraries
[1] Ch. Theoharatos, S. Makrogiannis, A. Ifantis and S. Fotopoulos, 'A Generic Retrieval Method using Perceptual Color Space and Local Density Estimation', in Proc. Int. Workshop on Very Low Bitrate Video Coding (VLBV 2001), 11-12 October 2001, Athens, Greece, pp. 147-151.
[2] Ch. Theoharatos, N. Laskaris, G. Economou and S. Fotopoulos, 'A Similarity Measure for Color Image Retrieval and Indexing based on the Multivariate Two Sample Problem', in Proc. EUSIPCO 04, Vienna, Austria, Sept. 7-10, 2004.
[3] Ch. Theoharatos, N. Laskaris, G. Economou and S. Fotopoulos, "A Generic Scheme for Color Image Retrieval based on the Multivariate Wald-Wolfowitz Test”, IEEE Trans. Knowledge and Data Engineering, vol. 17, no. 6, pp. 808-819, 2005.
[4] Ch. Theoharatos, V.K. Pothos, G. Economou and S. Fotopoulos, “Compressed Domain Image Indexing and Retrieval based on the Minimal Spanning Tree”, in Proc. Of Int. Conf. on Multimedia & Expo (ICME), Amsterdam, The Netherlands, July 6-8, 2005.
[5] Ch. Theoharatos, N. Laskaris, G. Economou and S. Fotopoulos, “Color-based Image Retrieval using Vector Quantization and Multivariate Graph Matching”, in Proc. Of Int. Conf. on Image Processing (ICIP), Genova, Italy, Sept. 11-14, 2005.
[6] Ch. Theoharatos, N.A. Laskaris, G. Economou and S. Fotopoulos, “Combining self-organizing neural nets with multivariate statistics for efficient color image retrieval”, Computer Vision and Image Understanding, vol. 102, no. 13, pp. 250-258, 2006.
[7] Ch. Theoharatos, V.K. Pothos, N.A. Laskaris, G. Economou and S. Fotopoulos, “Multivariate Image Similarity in the Compressed Domain using Statistical Graph Matching”, Pattern Recognition, Special Issue on Similarity-based Pattern Recognition, vol. 39, no. 10, pp. 1892-1904, 2006.
[8] Ch. Theoharatos, N.A. Laskaris, G. Economou and S. Fotopoulos, “Efficient Visual Information Retrieval using Orthogonal MSTs”, in Int. Symposium ELMAR-2006 focused on Multimedia Signal Processing and Communications, Zadar, Croatia, June 7-10, 2006.
[9] Ch. Theoharatos, N.A. Laskaris, G. Economou and S. Fotopoulos, “Visual database organization in the reduced biplot domain via the appending technique”, in Proc. of 6th IASTED Int. Conf. on Visualization, Imaging and Image Processing (VIIP 2006), Palma de Mallorca, Spain, pp. 559-564, Aug. 28-30, 2006.
[10] Ch. Theoharatos, N.A. Laskaris, G. Economou and S. Fotopoulos, “On the Perceptual Organization of Image Databases using Cognitive Discriminative Biplots”, EURASIP Journal on Advances in Signal Processing, Special Issue on Image Perception, vol. 2007, Article ID 68165, 15 pages, doi:10.1155/2007/68165, 2007.
[11] Ch. Theoharatos, G. Economou and S. Fotopoulos, “Semantic mapping of image databases using perceptual similarity”, in Proc. of 8th Int. Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2007), Santorini, Greece, 6-8 June, 2007.
[12] BOOK CHAPTER: Ch. Theoharatos, N.A. Laskaris, G. Economou and S. Fotopoulos, Image similarity based on a distributional “metric” for multivariate data, Vision Systems - Segmentation and Pattern Recognition, edited by G. Obinata and A. Dutta, ARS Int. Publications, ISBN 978-3-902613-05-9, ch. 17, pp. 333-352, 2007.
