Journal papers by N. Petkov since 1992

The articles marked by TOP-1% belong to the group of 10% most cited papers in computer science or engineering according to the criteria of the Institute for Scientific Information.

2012

• G. Azzopardi, N. Petkov: Trainable COSFIRE filters for keypoint detection and pattern recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence, in print, 2012.
  [doi: 10.1109/TPAMI.2012.106], [open access preprint]
• G. Azzopardi, N. Petkov: A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function model. Biological Cybernetics, 106 (3), 2012, 177-189.
  [open access pdf ], [doi: 10.1007/s00422-012-0486-6]
• G. Papari, P. Campisi, N. Petkov: New families of Fourier eigenfunctions for steerable filtering. IEEE Trans. on Image Processing, in print, 2012.
• I. E. Giotis, N. Petkov: Cluster-based adaptive metric classification, Neurocomputing, 81, 2012, 33-40.

2011

• K. Bunte, M. Biehl, M.F. Jonkman, and N. Petkov: Learning effective color features for content based image retrieval in dermatology. Pattern Recognition, 44 (9), 2011, 1892-1902, [doi: 10.1016 j.patcog.2010.10.024].
• G. Papari, N. Petkov: An improved model for surround suppression by steerable filters and multilevel inhibition with application to contour detection. Pattern Recognition, 44 (9), 2011, 1999-2007, [doi: 10.1016/j.patcog.2010.08.013].
• N. Petkov, X. Jiang: CAIP-Computer Analysis of Images and Patterns (Editorial). Pattern Recognition, 44 (9), 2011, 1841-1841, [doi: 10.1016/j.patcog.2011.03.017].
• J.A.J. van der Krieke, A.C. Emerencia, S. Sytema, M. Aiello, N. Petkov, and D. Wiersma: An online self-management tool for people suffering from psychosis. Schizophrenia Bulletin, 37 (Supplement: 1), 2011, 283-283.
• G. Papari and N. Petkov: Edge and line oriented contour detection: State of the art. Image and Vision Computing, 29 (2-3), 2011, 79-103.
  [bib], [pdf © Elsevier], [doi: 10.1016/j.imavis.2010.08.009]. TOP-1%.

2010

• H.H.W.J. Bosman, N. Petkov, and M.F. Jonkman: Comparison of Color Representations for Content Based Image Retrieval in Dermatology. Skin Research and Technology, 16, 2010, 109-113.
  [for a copy of the pdf file, send me an email request] [doi: 10.1111/j.1600-0846.2009.00405.x]

2009

• G. Papari and N. Petkov: Continuous Glass Patterns for Painterly Rendering. IEEE Trans. on Image Processing, 18 (3), 2009, 652-664.

2008

• G. Papari and N. Petkov: Adaptive pseudo-dilation for Gestalt edge grouping for contour detection. IEEE Trans. on Image Processing, 17 (10), 2008, 1950-1962.
  [bibTex], [pdf © IEEE], [DOI 10.1109/TIP.2008.2002306]
• E. Alegre, M. Biehl, N. Petkov and L. Sanchez: Automatic classification of the accrosome status of boar spermatozoa using digital image processing and LVQ, Computers in Biology and Medicine, 38 (4), 2008, 461-468.
  [bibTex], [pdf], [DOI 10.1016/j.compbiomed.2008.01.005]
  if you want a copy of the pdf file as it appeared in CBM, please send me an email request

2007

• N. Petkov and E. Subramanian: Motion detection, noise reduction, texture suppression and contour enhancement by spatiotemporal Gabor filters with surround inhibition, Biological Cybernetics, 97 (5-6), 2007, 423-439.
  [bibTex], [pdf © Springer; the original publication is available at www.springerlink.com], [DOI 10.1007/s00422-007-0182-0], [demo].
• G. Papari, N. Petkov and P. Campisi: Artistic edge and corner enhancing smoothing, IEEE Trans. on Image Processing, 16 (10), 2007, 2449-2662.
  [bibTex], [pdf © IEEE], [DOI 10.1109/TIP.2007.903912], [supplementary illustrations]
• G. Papari, P. Campisi, N. Petkov and A. Neri: A biologically motivated multiresolution approach to contour detection, EURASIP Journal on Advances in Signal Processing, Vol. 2007, Article ID 71828, 28 pages, 2007.
  [bibTex], [pdf © 2007 G. Papari, P. Campisi, N. Petkov and A. Neri], [DOI 10.1155/2007/71828], [supplementary illustrations]

2006

• A. Ghosh and N. Petkov: Effect of high curvature point deletion on the performance of two contour based shape recognition algorithms, International Journal of Pattern Recognition and Artificial Intelligence, 20 (6), 2006, 913-924.
  [bibTex], [pdf © World Sci. Publ. Co.] TOP-20%
• L. Sanchez, N. Petkov and E. Alegre: Statistical approach to boar semen evaluation using intracellular intensity distribution of head images, Cellular and Molecular Biology, 52 (6), 2006, 38-43.
  [bibTex], [pdf © C.M.B. Edition], [DOI 10.1170/T736] TOP-10%

2005

• A. Ghosh and N. Petkov: A cognitive evaluation procedure for contour based shape descriptors, Int. Journal of Hybrid Intelligent Systems, 2 (4), 2005, 237-252.
  [bibTex], [pdf © IOS Press, AKI and the authors], [ICR test database].
• A. Ghosh and N. Petkov: Robustness of shape descriptors to incomplete contour representations, IEEE Trans. on Pattern Analysis and Machine Intelligence, 27 (11), 2005, 1793-1804.
  [bibTex], [pdf © IEEE], [ICR test database]. TOP-10%

2004

• C. Grigorescu, N. Petkov and M. A. Westenberg: Contour and boundary detection improved by surround suppression of texture edges, Image and Vision Computing, 22 (8), 2004, 609-622.
  [bibTex], [pdf , html, © Elsevier], [DOI 10.1016/j.imavis.2003.12.004]. TOP-2%

2003

• C. Grigorescu and N. Petkov: Distance sets for shape filters and shape recognition, IEEE Trans. on Image Processing, 12 (10), 2003, 1274-1286.
  [bibTex], [pdf © IEEE] TOP-2%
• C. Grigorescu, N. Petkov and M. A. Westenberg: Contour detection based on nonclassical receptive field inhibition, IEEE Trans. on Image Processing, 12 (7), 2003, 729-739.
  [bibTex], [pdf © IEEE], [demo and database]. TOP-1%
• N. Petkov and M. A. Westenberg: Suppression of contour perception by band-limited noise and its relation to non-classical receptive field inhibition, Biological Cybernetics, 88, 2003, 236-246.
  [bibTex], [pdf © Springer; the original publication is available at www.springerlink.com], [DOI 10.1007/s00422-002-0378-2], [demo], TOP-2%
• C. Grigorescu, N. Petkov and M.A. Westenberg: The role of non-CRF inhibition in contour detection, Journal of Computer Graphics, Visualization, and Computer Vision (WSCG), 11 (2), 2003, 197-204.
  [bibTex], [pdf], [demo],

2002

• S.E. Grigorescu, N. Petkov and P. Kruizinga: Comparison of texture features based on Gabor filters, IEEE Trans. on Image Processing, 11 (10), 2002, 1160-1167.
  [bibTex], [pdf © IEEE] TOP-1%

2001

• Th. Lippert, N. Petkov, P. Palazzari and K. Schilling: Hyper-systolic matrix multiplication, Parallel Computing, 27 (6), 2001, 737-759.
  [bibTex], [pdf © Elsevier]

2000

• P. Kruizinga and N. Petkov: Computational model of dot-pattern selective cells, Biological Cybernetics, 83 (4), 2000, 313-325.
  [bibTex], [pdf © Springer; the original publication is available at www.springerlink.com], [demo].

1999

• P. Kruizinga and N. Petkov: Non-linear operator for oriented texture, IEEE Trans. on Image Processing, 8 (10), 1999, 1395-1407.
  [bibTex], [pdf © IEEE] TOP-2%

1997

• N. Petkov and P. Kruizinga: Computational models of visual neurons specialised in the detection of periodic and aperiodic oriented visual stimuli: bar and grating cells, Biological Cybernetics, 76 (2), 1997, 83-96.
  [bibTex], [pdf © Springer; the original publication is available at www.springerlink.com] TOP-2%

1995

• N. Petkov: Biologically motivated computationally intensive approaches to image pattern recognition, Future Generation Computer Systems, 11 (4-5), 1995, 451-465.
  [bibTex], [pdf, html © Elsevier], [DOI 10.1016/0167-739X(95)00015-K].TOP-10%.

1994

• T. Lourens, N. Petkov and P. Kruizinga: Large scale natural vision simulations, Future Generation Computer Systems, 10, 1994, 351-358.

1993

• N. Petkov: Fuzzy number subtraction convolution on the CM-2, International Journal of Modern Physics, 4 (1), 1993, 181-196. (Available in book form: Th. Lippert, K. Schilling and P. Ueberholz (eds.): Science on the Connection Machine (Singapore: World Scientific Publ., 1993), pp.181-196.)

1992

• T. D. Dontje, T. Lippert, N. Petkov and K. Schilling: Statistical analysis of simulation-generated time series: Systolic vs. semi-systolic correlation on the Connection Machine, Parallel Computing, 18, 1992, 575-588.
• T. Lippert, N. Petkov and K. Schilling: Quark propagator on the Connection Machine, Parallel Computing, 18, 1992, 1291-1299.

Last changed: 2012-05-13.