Conference papers by N. Petkov since 1992

2011

• G. Azzopardi, N. Petkov: Detection of retinal vascular bifurcations by trainable V4-like filters, in Computer Analysis of Images and Patterns CAIP 2011, Seville, 2011, Lecture Notes in Computer Science, Vol. 6854, (Springer-Verlag Berlin Heidelberg, 2011), pp.451-459. [pdf 453 KB]

2009

• G. Papari, N. Petkov: Reduced inverse distance weighting interpolation for painterly rendering, in Computer Analysis of Images and Patterns CAIP 2009, Muenster, 2009, LNCS 5702, pp. 509-516.
• G. Papari, N. Petkov: Glass patterns and artistic imaging, in Advances in Image and Video Technology. Third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, 2009, pp. 1034-1045.
• G. Papari, P. Campisi, P. Le Callet, N. Petkov: Artistic stereo imaging by edge preserving smoothing, in 13th IEEE Digital Signal Processing Workshop/5th IEEE Signal Processing Education Workshop, Marco Isl Florida, 2009, pp. 639-642.
• L. Sanchez, N. Petkov: Estimation of boar sperm status using intracellular density distribution in grey level images, in Similarity-Based Clustering, 2009, LNAI 5400, pp.169-184.
• K. Bunte, N. Petkov, M. Biehl, F. Jonkman: Adaptive metrics for content based image retrieval in dermatology, in: M. Verleysen (ed.), Proc. European Symposium on Artificial Neural Networks ESANN 2009, d-side publishing (2009) pp 129-134.

2008

• G. Papari, N. Petkov: Fast Multiresolution Contour Completion, in Proc. SPIE 2008, vol. 6812, art. no. 68121B, pp. 68121B-1 - 68121B-8, San Jose, CA, USA, Jan. 28-31, 2008, (SPIE, Bellingham, Washington; IS&T, Springfield, Virginia, 2008)

2007

• G. Papari, P. Campisi, N. Petkov: Multilevel surround inhibition. A biologically inspired contour detector, in Proc. SPIE 2007, vol. 6497, art. no. 649702, pp. 649702-1 - 649702-11, San Jose, CA, USA, Jan. 28 - Feb. 1, 2007, (SPIE, Bellingham, Washington; IS&T, Springfield, Virginia, 2007)
• G. Papari, N. Petkov, P. Campisi: Edge and corner preserving smoothing for artistic imaging , in Proc. SPIE 2007, vol. 6497, art. no. 64970J, pp. 64790J-1 - 64790J-11, San Jose, CA, USA, Jan. 28 - Feb. 1, 2007, (SPIE, Bellingham, Washington; IS&T, Springfield, Virginia, 2007)

2006

• G. Papari, P. Campisi, N. Petkov and A. Neri: Multiresolution contour detection using two-level surround inhibition, in Proc. Int. Conf. on Computers and Devices for Communication CODEC 2006, Calcutta, India, December 18-20, 2006.
• N. Petkov: Contour detection by surround suppression of texture, in J.M.R.S. Tavares and R.M. Natal Jorge (eds.): Computational Modelling of Objects Represented in Images - Fundamentals, Methods and Applications; Proc. Int. Symp. CompImage 2006, Coimbra, Portugal, 20-21 Oct. 2006 (Taylor and Francis Group London, 2007) pp. 29-32 (keynote).
  [bibTex], [pdf 225 KB © Taylor and Francis Group], [slides pdf 10 MB © N. Petkov]
• N. Petkov, E. Alegre, M. Biehl and L. Sanchez: LVQ acrosome integrity assesment of boar sperm cells, in J.M.R.S. Tavares and R.M. Natal Jorge (eds.): Computational Modeling of Objects Represented in Images - Fundamentals, Methods and Applications; Proc. Int. Symp. CompImage 2006, Coimbra, Portugal, 20-21 Oct. 2006 (Taylor and Francis Group London, 2007) pp. 337-342.
  [bibTex], [pdf 225 KB © Taylor and Francis Group]
• G. Papari, P. Campisi, N. Petkov and A. Neri: Contour detection by multiresolution surround inhibition, in L. Cotton (ed.): Proc. Int. Conf. on Image Processing ICIP 2006, Atlanta, GA, October 8-11, 2006, (IEEE, 2006) pp. 749 - 752 (best student paper award to G. Papari).
  [bibTex], [pdf 225 KB © IEEE]
• G. Papari, P. Campisi, N. Petkov and A. Neri: Contour detection by surround inhibition in the CHF domain, in E. Bagnoli and M. Casula (eds): Proc. 14th European Signal Processing Conference EUSIPCO 2006, Florence, Italy, September 4-8, 2006, CD-ROM (EURASIP, 2006) 5 pages.
  [bibTex], [pdf 395 KB © EURASIP]
• N. Petkov: Contour detection by surround suppression of texture, Visualization, Imaging, and Image Processing - VIIP 2006, Palma de Mallorca, Spain, 28-30 Aug. 2006 (keynote).
  [slides pdf 14 MB © N. Petkov]
• M. Biehl, P. Pasma, M. Pijl, L. Sanchez and N. Petkov: Classification of boar sperm head images using learning vector quantization, in M. Verleysen (Ed.), Proc. European Symposium on Artificial Neural Networks ESANN 2006, Brugge, April 26-28, 2006 (d-side, Evere, Belgium, 2006) pp.545-550.
  [bibTex], [pdf 118 KB © d-side]
• G. Papari, P. Campisi, N. Petkov and A. Neri: A multiscale approach to contour detection by texture suppression, in E. R. Dougherty, J. T. Astola, K. O. Egiazarian, N. M. Nasrabadi and S. A. Rizvi (eds.): Image Processing: Algorithms and Systems, Neural Network, and Machine Learning; Proc. SPIE-IS&T Electronic Imaging 2006, San Jose, CA, USA, January 16-18, 2006, vol. 6064, CID 60640D, 2006, pp. 60640D-1 - 60640D-12, (SPIE, Bellingham, Washington; IS&T, Springfield, Virginia, 2006)
  [bibTex], [pdf 1 MB © SPIE & IS&T]

2005

• L. Sanchez, N. Petkov and E. Alegre: Classification of boar spermatozoid head images using a model intracellular density distribution, in M. Lazo and A. Sanfeliu (Eds.), Progress in Pattern Recognition, Image Analysis and Applications: Proc. 10th Iberoamerican Congress on Pattern Recognition, CIARP 2005, Lecture Notes in Computer Science, Vol. 3773, (Springer-Verlag Berlin Heidelberg, 2005) pp.154-160.
  [bibTex], [pdf 1.1 MB © Springer DOI: 10.1007/11578079_17]
• A. Ghosh and N. Petkov: Incomplete contour representations and shape descriptors: ICR test studies, in M. De Gregorio et al. (Eds.), Proc. First Int. Symp. on Brain, Vision and Artificial Intelligence BVAI 2005, Naples, October 19-21, 2005, Lecture Notes in Computer Science, Vol. 3704 (Springer-Verlag Berlin Heidelberg, 2005) pp.416-425.
  [bibTex], [pdf 395 KB © Springer DOI: 10.1007/11565123_40]
• G. Papari and N. Petkov: Algorithm that mimics human perceptual grouping of dot patterns, in M. De Gregorio et al. (Eds.), Proc. First Int. Symp. on Brain, Vision and Artificial Intelligence BVAI 2005, Naples, October 19-21, 2005, Lecture Notes in Computer Science, Vol. 3704 (Springer-Verlag Berlin Heidelberg, 2005) pp.497-506.
  [bibTex], [pdf 285 KB © Springer DOI: 10.1007/11565123_48], [poster 3.3 MB]
• L. Sanchez, N. Petkov and E. Alegre: Statistical approach to boar semen head classification based on intracellular intensity distribution, in A. Gagalowicz and W. Philips (Eds.), Proc. Int. Conf. on Computer Analysis of Images and Patterns, CAIP 2005, Lecture Notes in Computer Science, Vol. 3691, (Springer-Verlag Berlin Heidelberg, 2005) pp.88-95.
  [bibTex], [pdf 720 KB © Springer DOI: 10.1007/11556121_12]

2003

• C. Grigorescu, N. Petkov and M.A. Westenberg: Contour detection operators based on surround inhibition, Proc. IEEE Int. Conf. on Image Processing (ICIP) 2003, volume III, pp.437-440 (CD-ROM ISBN 0-7803-7751-6).
  [bibTex], [pdf 288 KB © IEEE]
• S.E. Grigorescu and N. Petkov: Texture analysis using Renyi's generalized entropies, Proc. IEEE Int. Conf. on Image Processing (ICIP) 2003, volume I, pp.241-244 (CD-ROM ISBN 0-7803-7751-6).
  [bibTex], [pdf 366 KB © IEEE], [poster pdf 394 KB],
• S.E. Grigorescu and N. Petkov: A dynamical system approach to texel identification in regular textures, Proc. Int. Symp. on Image and Signal Processing and Analysis (ISPA) 2003, volume I, pp.66-71 (CD-ROM ISBN 953184063).
  [bibTex], [pdf 616 KB]

2002

• C. Grigorescu, N. Petkov and M.A. Westenberg: Performance enhancement of contour detectors by surround inhibition, Proc. Int. Conf. on Computer Vision and Graphics, Zakopane, Poland, Sept.25-29, 2002, Vol.1 (2002) pp.313-318 (ISBN 839176830-9).
• C. Grigorescu, N. Petkov and M.A. Westenberg: Improved Contour Detection by Non-Classical Receptive Field Inhibition, in H. H. Buelthoff et al. (Eds.), (Proc. 2nd Int. Workshop on) Biologically Motivated Computer Vision, Tuebingen, Nov. 22-24, 2002, Lecture Notes in Computer Science 2525 (2002) pp.50-59 (ISBN 3-540-00174-3).
  [abstract], [pdf 534 KB]

2001

2000

• P. Kruizinga and N. Petkov: A nonlinear texture operator specialized in the analysis of dot-patterns. Proceedings of the 15th Int. Conf. on Pattern Recognition, ICPR 2000. Vol.1 (IEEE Press) pp.197-201.
• S.E. Grigorescu, N. Petkov and P. Kruizinga: A comparative study of filter based texture operators using Mahalanobis distance. Proceedings of the 15th Int. Conf. on Pattern Recognition, ICPR 2000, Vol.3 (IEEE Press) pp.897-900.
  [bibTex], [pdf 199 KB © IEEE], [poster]
• C. Grigorescu and N. Petkov: Graph-based features for texture discrimination. Proceedings of the 15th Int. Conf. on Pattern Recognition, ICPR 2000. Vol.3 (IEEE Press) pp.1088-1091.
• A.E.C. Pece and N. Petkov: Fast atomic decomposition by the inhibition method. Proceedings of the 15th Int. Conf. on Pattern Recognition, ICPR 2000. Vol.3 (IEEE Press) pp.215-218.

1999

• P. Kruizinga and N. Petkov: Nonlinear operator for blob texture segmentation. In: A.S. Cetin, et al (eds.): Proceedings of NSIP'99, IEEE Workshop on Nonlinear Signal Processing, Vol.II, Antalya, Turkey, 20-23 June 1999, pp.881-885.
• P. Kruizinga, N. Petkov and S.E. Grigorescu: Use of Fisher Criterion for the Comparison of Texture Features. Statistical Methods for Image Processing (A satellite conference of the 52nd ISI session in Helsinki), August 6-9 1999, Uppsala, Sweden, book of abstracts, p. 27.
• P. Kruizinga, N. Petkov and S.E. Grigorescu: Comparison of texture features based on Gabor filters. Proceedings of the 10th International Conference on Image Analysis and Processing (ICIAP'99), September 27-29, 1999, Venice, Italy (IEEE Computer Society: Los Alamitos, California, 1999) pp.142-147.

1998

• P. Kruizinga and N. Petkov: Grating cell operator features for oriented texture. Proc. Int. Conf. on Pattern Recognition, 1998, IEEE, Brisbane, Australia, Aug. 16-20, pp. 1010-1014.
  [pdf © IEEE]

1997

• Th. Lippert, N. Petkov and K. Schilling: BLAS-3 for the Quadrics Parallel Computer. In Proc. of HPCN97: High Performance Computing and Networking 1997, Vienna, Austria, 28-30 April, 1997, Lecture Notes on Computer Science, Vol.1225 (Springer Verlag, 1997) pp.332-341.
• N. Petkov and J. van Deemter: Multiscale aspects of the visual system and their use for scale invariant object recognition. In F. Karsch, B. Monien and H. Satz (eds.): Proc. of Int. Conf. on Multiscale Phenomena and Their Simulation, Bielefeld, Germany, 30 Sept. - 4 Oct., 1996 (World Scientific, 1997) pp.37-48 (invited paper).

1996

1995

• N. Petkov: Biologically motivated self-organising image classification system, in B. Hertzberger and G. Serazzi (eds.): Proc. of High-Performance Computing and Networking, HPCN Europe '95, May 2-5, 1995, Milano, Italy, Lecture Notes on Computer Science, Vol.919 (Berlin: Springer-Verlag, 1995) pp.938.
• P. Kruizinga and N. Petkov: Person identification based on multiscale matching of cortical images;, in B. Hertzberger and G. Serazzi (eds.): Proc. of High-Performance Computing and Networking, HPCN Europe '95, May 2-5, 1995, Milano, Italy, Lecture Notes on Computer Science, Vol.919 (Berlin: Springer-Verlag, 1995) pp.420-427.
• N.Petkov: Self-Learning Image Classification System, 14th Benelux Meeting on Systems and Control, March 29-31, 1995, Houthalen, Belgium, Abstracts and Course Notes (Katholieke Universiteit Leuven) pp.50.
• P. Kruizinga and N. Petkov: A computational model for periodic-pattern-selective cells, In J. Mira and F. Sandoval (eds.), From Natural to Artificial Neural Computation (Proc. of the Int. Workshop on Artificial Neural Networks, IWANN'95, June 7-9, 1995, Torremolinos (Málaga), Spain), Lecture Notes in Computer Science, Vol. 930 (Berlin: Springer-Verlag, 1995) pp.90-99.
• N. Petkov: Use of Cortical Images and Neural Networks in a Self-Organising Image Classification System , in C. Braccini, L. De Floriani and G. Vernazza (eds.), Image Analysis and Processing (Proc. Int. Conf. on Image Analysis and Processing, ICALP'95, Sanremo, Italy, Sept. 13-15, 1995), Lecture Notes in Computer Science, Vol. 974 (Berlin: Springer-Verlag, 1995) pp.165-170.
• N. Petkov: ``Image classification system based on cortical representations and unsupervised neural network learning'', V. Cantoni et al. (eds.), Proc. of CAMP '95 - Computer Architectures for Machine Perception, Como, Italy, September 18-20, 1995 (Los Alamitos: IEEE-Computer Society Press, 1995) pp.430-437.
• N. Petkov: ``Bridging gaps in a computational model of the visual cortex''. In J.-M. Alimi, A. Serna and H. Scholl (eds.) Science on the Connection Machine, Proc. 2nd European CM Users Meeting, Paris, Oct. 11-14, 1993 (Cambridge, USA: Thinking Machines Corporation, 1995) pp.47-57.

1994

• N. Petkov, P. Kruizinga and T. Lourens: Face Recognition on the Connection Machine CM-5 , in G.R. Joubert, D. Trystram F.J. Peters and D.J. Evans (eds.): Parallel Computing: Trends and Applications, Proc. of the Int. Conf. ParCo 93, Sept. 7-10, 1993, Grenoble, France; : Advances in Parallel Computing, Vol.9, (Amsterdam: Elsevier Sci. Publ., 1994) pp.185-192.
• P. Kruizinga, N. Petkov: ``Optical flow applied to person identification'', in J.C. Zuidervaart and L. Dekker (eds.) Proc. of the 1994 EUROSIM Conference on Massively Parallel Processing, June 21-23, 1994, Delft, The Netherlands (Amsterdam: Elsevier Sci. Publ., 1994) pp.871-878.
• N. Petkov: ``Conceiving computationally intensive approaches to vision'', in (eds.) W. Gentzsch and U. Harms: Proc. Int. Conf. on High Performance Computing and Networking, HPCN Europe 1994, München, April 1994, Lecture Notes in Computer Science, Vol.796 (Berlin: Springer-Verlag, 1994) pp. 380-389 (invited paper).
• N. Petkov: ``Image classification system inspired by neurophysiological findings'', in D. Docampo and A.R. Figueiras (eds.) Proc. Final COST 229 Workshop Adaptive Systems, Intelligent Approaches, Massively Parallel Computing and Emergent Techniques in Signal Processing and Communications, Bayona (Vigo), Spain, Oct. 1994 (Vigo: University of Vigo, 1994) pp. 209-213.

1993

• N. Petkov, T. Lourens and P. Kruizinga: Computationally Intensive Approach to Face Recognition , 12th Benelux Meeting on Systems and Control, March 3-5, 1993, Houffalize, Belgium, Abstracts and Lecture Notes (Mons: Faculte Polytechnique de Mons, 1993) pp.27.
• N. Petkov, P. Kruizinga and T. Lourens: Biologically Motivated Approach to Face Recognition , in J. Mira, J. Cabestany and A. Prieto: New Trends in Neural Computation, Proceedings of the International Workshop on Artificial Neural Networks, IWANN '93, June 9-11, 1993, Sitges (Barcelona), Spain, Lecture Notes in Computer Science, Vol.686, (Berlin: Springer Verlag, 1993) pp.68-77.
• N. Petkov, T. Lourens and P. Kruizinga: ``Lateral inhibition in cortical filters'', Proc. of Int. Conf. on Digital Signal Processing and Int. Conf. on Computer Applications to Engineering Systems, July 14-16, 1993, Nicosia, Cyprus, pp.122-129.
• N. Petkov, P. Kruizinga and T. Lourens: Natural visual simulations - An application to face recognition , in H. Dedieu (ed.) Proc. 1993 European Conf. on Circuit Theory and Design, Aug. 30 - Sept. 3, 1993, Davos, Switzerland (Amsterdam: Elsevier Sci. Publ., 1993) pp.821-826.
• N. Petkov and T. Lourens: ``Interacting cortical filters for object recognition'', Proc. of Asian Conference on Computer Vision, Nov. 23-25, 1993, Osaka, Japan, pp.583-586.

1992

• T. Dontje, N. Petkov, K. Schilling. Computational and communicational granularity of systolic algorithms on the Connection Machine, in D.J. Evans, G.R. Joubert and H. Liddel (eds.), Parallel Computing 91 (Amsterdam: North-Holland, 1992) pp. 183-192.
• G. Bhanot, T. Lippert, N. Petkov, K. Schilling, P. Ueberholz. Accelerating lattice gauge computations on the Connection Machine, in D.J. Evans, G.R. Joubert and H. Liddel (eds.), Parallel Computing 91 (Amsterdam: North-Holland, 1992) pp. 569-576.

Last changed: 2011-10-14.