American Journal of Signal Processing

American Journal of Signal Processing publishes articles on signal processing research and applications. It covers aspects from fundamental principles to practical implementation, intending to bring up-to-date, emerging and active technical developments, issues, and events to the research, educational, and professional communities.

Michal Strzelecki

Editorial Board Member of American Journal of Signal Processing

Associate Professor, Technical University of Lodz, Institute of Electronics, Poland

Research Areas

Biomedical Image Processing and Analysis, Pattern Recognition

Education

2006HabilitationAGH University of Science and Technology, Krakow, Poland
1995Ph.DTechnical University of Lodz
1988MSEETechnical University of Lodz, Poland

Experience

2006-2008Visiting Professor at the Chonbuk National University, South Korea
since 2004Deputy Director of the Institute of Electronics
since 1996Associated Professor, Technical University of Lodz (Poland), Biomedical Engineering Division, Institute of Electronics

Publications: Journals

[1]  G. Chen, M. Strzelecki, Q. Pang, H. Kim, H. Stødkilde-Jørgensen, Textures in magnetic resonance images of the ischemic rat brain treated with an anti-inflammatory agent, Clinical Imaging, 34, 1, 2010, pp. 7-13 [SCIE].
[2]  D. Jirak, J. Kriz, M. Strzelecki, J. Yang, C. Hasilo, DJ. White, PJ. Foster, Monitoring the survival of islet transplants by MRI using a novel technique for their automated detection and quantification, Magnetic Resonance Materials in Physics, Biology and Medicine, 22, 4, 2009, pp. 257-265 [SCIE].
[3]  P. Szczypinski, M. Strzelecki, A Materka, A. Klepaczko, MaZda-A software package for image texture analysis, Computer Methods and Programs in Biomedicine, 94, 1, 2009, pp 66-76 [SCI].
[4]  L. Chrzanowski, J. Drozdz, M. Strzelecki, M. Krzeminska-Pakula, K. Jedrzejewski, J. Kasprzak, Application of neural networks for the analysis of histological and ultrasonic aortic wall appearance-an in-vitro tissue characterization study, Ultrasound in Medicine and Biology, 34, 1, 2008, pp. 103-113 [SCI].
[5]  M. Strzelecki, J. Kowalski, H. Kim, S. Ko, A New CNN Oscillator Model For Parallel Image Segmentation, International Journal on Bifurcation and Chaos, 18, 7, 2008, pp. 1999-2015 [SCI].
[6]  J. Kowalski, M. Strzelecki, Synchronization test results of oscillator network CMOS VLSI chip, Electronics, 4, SIGMA-NOT, 2007, pp. 53-57.
[7]  P. Strumiłło, M. Strzelecki, Application of Coupled Neural Oscillators for Image Texture Segmentation and Biological Rhythms Modelling, Int. J. Appl. Math. Comput. Sci., 16, 4, 2006, pp. 513-523.
[8]  M. Strzelecki, A. Materka, J. Drozdz, M. Krzeminska-Pakula, J. D. Kasprzak, Classification and segmentation of intracardiac masses in cardiac tumor echocardiograms, Computerized Medical Imaging and Graphics, 30, 2, March 2006, pp. 95-107 [SCIE].
[9]  M. Strzelecki, Texture boundary detection using network of synchronised oscillators, Electronics Letters, 40, 8, 2004, pp. 466-467 [SCI].
[10]  G. Collewet, M. Strzelecki, F. Mariette, Influence of MRI acquisition protocols and image intensity normalization methods on texture classification, Magnetic Resonance Imaging, 22, 2004, pp. 81-91 [SCI].
[11]  T. Jakubowska, B. Więcek, M. Wysocki, C. Drews-Peszyński, M. Strzelecki, Classification of Breast Thermal Images using Artificial Neural Networks, Journal of Medical Informatics and Technologies, Dept. of Computer Systems, University of Silesia, 7, 2004, pp. MIP-43-51.
[12]  M. Strzelecki, K. Niedzielski, K. W. Zieliński, A. Materka, R. Koktysz, M. Wilamski, M. Synder: Computerized analysis of texture in bone radiograms using MaZda software, Polish Journal of Radiology, 68, 4, 2003, pp. 78-83.
[13]  M. Strzelecki: Segmentation of MRI trabecular-bone images using network of synchronised oscillators, Machine Graphics & Vision, 11(1), 2002, pp. 77-100.
[14]  Zalewska, M. Strzelecki, P. Janowski, E. Brzezińska-Błaszczyk: Computer analysis of normal and basal cell carcinoma mast cells, Medical Science Monitor, 2001, 7(2), pp. 260-265.
[15]  M. Strzelecki, A. Materka, J. Sygut, A. Zalewska: Digital Image Processing Methods For Morphological Characterization Of Mast Cells In Selected Skin Diseases, Image Processing & Communications, (ed. R. Choras), 5 (1/99), 2000, pp. 45-56.
[16]  K. W. Zieliński, M. Strzelecki: Quantitative Bone Histology Mirrored in Radiometry, Microscopy & Analysis, Rolston Gordon Communications 3/99, 1999, pp. 15-17.
[17]  Zalewska, A. Omulecki, A. Drzewicka-Walczak, B. Kolago, J. Dastych, M. Strzelecki: Expression of Stem Cell Factor (SCF) in Scleroderma Fibroblasts-a Preliminary Report, Medical Science Monitor, 1998, 4(4), pp. 579-582.
[18]  Zalewska, M. Strzelecki, J. Sygut: Implementation Of An Image Analysis System For Morphological Characteristics Of Urticaria Pigmentosa Skin Mast Cells, Medical Science Monitor 3(2), 1997, pp. 260-265.
[19]  M. Strzelecki, A. Materka: Texture Segmentation Based on Estimated MRF Parameters, Bulletin of the Polish Academy of Sciences, Technical Sciences, 45, 2, 1997, pp. 301-307.
[20]  Materka, M. Strzelecki: Parametric Testing of Mixed-Signal Circuits by ANN Processing of Transient Responses, Journal of Electronic Testing: Theory and Applications 9, 1996, pp. 187-202 [SCIE].
[21]  M. Strzelecki: Segmentation of Textured Biomedical Images using Multilayer Neural Networks, Medical Science Monitor 2(4), 1996, pp. 505-510.
[22]  M. Strzelecki, A. Materka: Parameter Estimation of Markov Random Field of Image Textures, Bulletin of the Polish Academy of Science, Technical Sciences, 4, 2, 1996, pp. 151-156.

Publications: Conferences/Workshops/Symposiums

[1]  P. Brylski, M. Strzelecki, The Architecture of a Digital Network for Image Analysis, Proc. of IEEE SPA 2009, 24-26 September 2009, Poznan, Poland, pp. 25-29.
[2]  J. Kowalski, M. Strzelecki, 32x32 Oscillator Network Chip For Binary Image Segmentation, Proc. of International Conference on Signals and Electronic Systems, 14-17 September 2008, Krakow, Poland, pp. 227-230.
[3]  P. Wróblewski, M. Strzelecki, Automatic Detection of Pancreatic Islets in MR Rat Liver Images, Proc. of IEEE NTAV/SPA 2008, 25-27 September 2008, Poznan, Poland, pp. 33-37.
[4]  P. Brylski, M. Strzelecki, Network of Synchronised Oscillators-a Digital Approach, Proc. of IEEE NTAV/SPA 2008, 25-27 September 2008, Poznan, Poland, pp. 161-164.
[5]  M. Strzelecki, J. de Certaines, S. Ko, Segmentation of 3D MR Liver Images Using Synchronised Oscillators Network, Proc. of International Symposium on Information Technology Convergence 2007, IEEE Computer Society CPS, November 23-23, 2007, Jeonju, Korea, pp. 259-263.
[6]  M. Strzelecki, D. Jirak, M. Hajek, J. Kriz, H. Kim, H. Lin, Automatic Detection of Pancreatic Islets in Magnetic Resonance Rat Liver Images, Proc. of ISITC 2007, IEEE Computer Society CPS, November 23-23, 2007, Jeonju, Korea, pp. 254-258.
[7]  P. Szczypinski, M. Strzelecki, A. Materka, MaZda-a Software for Texture Analysis, Proc. of ISITC 2007, IEEE Computer Society CPS, November 23-23, 2007, Jeonju, Korea, pp. 245-249.
[8]  M. Strzelecki, H. Kim, P. Liberski, A. Zalewska, Analysis of microscopic mast cell images based on network of synchronised oscillators, Adaptive and Natural Computing Algorithms (eds. B. Bieliczynski, A. Dzielinski, M. Iwanowski, B. Ribeiro), Proc. of ICANNGA 2007, Warsaw, Poland, LNCS Springer 2007, pp. 346-354.
[9]  J. Kowalski, M. Strzelecki, P. Majewski, CMOS VLSI Chip of Network of Synchronised Oscillators: Functional Tests Results, Proc. of IEEE Workshop on Signal Processing 2005, 29 September 2006, Poznan, Poland, pp. 71-76.
[10]  M. Strzelecki, Segmentation of 3D Images Using Network of Synchronised Oscillators, Proc. of International Conference on Signals and Electronic Systems, 17-19 September 2006, Lodz, Poland, pp. 215-218.
[11]  Ł. Palus, M. Strzelecki, Classification Of 3d Artificial Textures Using Co-Occurrence Matrix-Derived Feature, Proc. of International Conference on Signals and Electronic Systems, 17-19 September 2006, Lodz, Poland, pp. 757-760.
[12]  K. Ślot, A. Materka, M. Strzelecki, Overview of Card Technologies, Proc. of International Conference on Signals and Electronic Systems, 17-19 September 2006, Lodz, Poland, pp. 105-108.
[13]  J. Kowalski, M. Strzelecki, CMOS VLSI Chip for Segmentation of Binary Images, Proc. of IEEE Workshop on Signal Processing 2005, 30 September 2005, Poznan, Poland, pp. 251-256.
[14]  S. Rażniewski, M. Strzelecki, Evaluation of Texture Features Based on Mutual Information, Proceedings of 4th International Symposium on Image and Signal Processing and Analysis, 15-17 September 2005, Zagreb, Croatia, pp. 223-228.
[15]  J. Kowalski, M. Strzelecki, A De Vos, Relaxation oscillator circuit design for image segmentation, Proc. of IEEE Workshop on Signal Processing 2005, 24 September 2004, Poznan, Poland, pp. 27-31.
[16]  M. Strzelecki, Image Edge and Texture Boundary Detection Using Network of Synchronised Oscillators, Proc. of IEEE Workshop on Signal Processing 2003, 10 October 2003, Poznan, Poland, pp. 125-129.
[17]  M. Strzelecki, J. Kasprzak, J. Drożdż, M. Krzemińska-Pakuła, Analysis of Intracardiac Masses in Cardiac Tumour Echocardiograms, Proc. of ECCTD 2003, September 1-4, Kraków, vol. 3, pp. 145-148.
[18]  J. Kasprzak, M. Strzelecki, M. Krzeminska-Pakula, L. Chrzanowski, A. Materka, K. Wierzbowska, M. Zwierzak, J. Drozdz: Tissue Identification of Intracardiac Masses in Adults Using Neural Networks, suppl. Circulation, vol. 106, no 19, 2002, abstracts of Scientific Sessions 2002, pp. II-560.
[19]  M. Kociołek, A. Materka, M. Strzelecki, P. Szczypiński, Standart and redundant DWT features for MRI texture classification, Proc. of International Conference on Signals and Electronic Systems, 24-27 September 2002, Wrocław-Świeradów-Zdrój, Poland, pp. 121-126.
[20]  M. Strzelecki, Biomedical Texture Segmentation Using Linear Filter Based Features and Oscillator Network, Proc. of IEEE Workshop on Signal Processing 2002, 11 October 2002, Poznań, Poland, pp. 27-32.
[21]  M. Strzelecki, Pattern Recognition Using Network of Synchronised Oscillators, Int. Proc. of Int. Conf. of Computer Vision and Graphics, vol. 2, 25-29 September, Zakopane, pp. 716-721.
[22]  M. Strzelecki, P. Liberski, A. Zalewska: Segmentation of Mast Cell Images Using network of Synchronised Oscillators, Proc. of the International Conference Informatics for Health Care, Visaginas, 19-20 September 2002, Lithuania, pp. 81-88.
[23]  M. Strzelecki: Image Texture Segmentation Using Linear Filter Based Features and Network of Synchronised Oscillators, Proc. 12th Portuguese Conference on Pattern Recognition, Aveiro, Portugal, June 27-28, 2002, CD ROM.
[24]  M. Strzelecki: Segmentation of Textured Images using Network of Synchronised Oscillators, Proc. of IEEE Workshop on Signal Processing 2001, 12 October 2001, Poznań, Poland, pp. 105-108.
[25]  P. Szczypiński, M. Kociołek, A. Materka, M. Strzelecki: Computer Program For Image Texture Analysis In Phd Students Laboratory, Proc. of Interational Conference on Signals and Electronic Systems, 18-21 September 2001, Lodz, Poland, pp. 255-261.
[26]  M. Kociołek, A. Materka, M. Strzelecki, P. Szczypiński: Discrete Wavelet Transform Derived Features For Digital Image Texture Analysis, Proc. of International Conference on Signals and Electronic Systems, 18-21 September 2001, Lodz, Poland, pp. 111-116.
[27]  M. Strzelecki: Image Segmentation Based on Network of Synchronised Oscillators, Proc. of International Conference on Signals and Electronic Systems, 18-21 September 2001, Lodz, Poland, pp. 105-110.
[28]  P. Dębiec, M. Strzelecki, A. Materka: Evaluation of texture Generation Methods Based on CNN and GMRF Image Texture Models, Proc. of Int. Conf. on Signals and Electronic Systems, 17-20 October 2000, Ustroń, pp. 187-192.
[29]  M. Kociołek, A. Materka, M. Strzelecki, P. Szczypiński: Investigation of Wordlenght Effect on Discriminative Power of Co-occurrence Matrix-Derived Features for Digital Image Texture Analysis, Proc. of Int. Conf. on Signals and Electronic Systems, 17-20 October 2000, Ustroń, pp. 163-168.
[30]  J. Kowalski, M. Strzelecki: A VLSI Kohonen Neural network Chip and its Basic Measurements Results, 2000 International Symposium of Nonlinear Theory & Its Applications, Dresden, Germany, September 17-21, 2000, pp.401-404.
[31]  Materka, M. Strzelecki, R. Lerski, L. Schad: Toward Automatic Feature Selection of Texture Test Objects for Magnetic Resonance Imaging, RECPAD 2000, 11th Portugese Conference on Pattern Recognition, May 2000, pp. 11-16.
[32]  A.Zalewska, M.Strzelecki, P.Liberski, E.Brzezińska-Błaszczyk: Mast Cell Granule Assessment Using Image Analysis Methods, 6th Congress of the International Skin Imaging, July 4-6, 1999, London, "Skin Research & Technology-Abstracts" 4-6, vol. 5, pp. 158 [SCI].
[33]  P. Janowski, M. Strzelecki, A. Omulecki, A. Zalewska: Morphological Characterization Of Mast Cells In Basal Cell Carcinoma Using Digital Image Processing Methods, 6th Congress of the International Skin Imaging, July 4-6, 1999, London "Skin Research & Technology-Abstracts" 4-6, vol. 5, pp. 138 [SCI].
[34]  Materka, M. Strzelecki, R. Lerski, L. Schad: Evaluation of Texture Features of Test Objects for Magnetic Resonance Imaging, Infotech Oulu Workshop on Texture Analysis in Machine Vision, June, Oulu, Finland, pp. 13-19.
[35]  Zalewska, M. Strzelecki, P. Janowski, A. Omulecki: Mastocytis Skin Mast Cells Morphological Characteristics Based on Computer Analysis System, 7th Congress of European Academy of Dermatology and Dermatology, Nice, France.
[36]  Materka, M. Strzelecki: ANN-Based Parameter Estimation with Minimum Variance, Proc. of the ICSPAT, San Diego 1997, pp. 1460-1464.
[37]  Materka, M. Strzelecki: Parametric Testing of CMOS Circuits by Ann-Based Processing of Transient Power Supply Current, International Mixed Signal Testing Workshop, Grenoble 1995, pp. 223-227.

Publications: Books/Book Chapters

[1]  M. Strzelecki, Image texture segmentation using oscillator networks and statistical methods, Technical University of Lodz, Lodz 2004 (in Polish).
[2]  K. Zieliński, M. Strzelecki: Computerized Analysis of Biomedical Images, Wydawnictwo Naukowe PWN, Warszawa-Łódź 2002 (in Polish).
[3]  Materka, M. Strzelecki, P. Dębiec, Student's Electronic Card: A Secure Internet Database System For University Management Support, (eds. E. Tkacz, A. Kapczyński), Internet-Technical Development and Applications, Advances in Intelligent and Soft Computing 64, Springer, 2009, pp. 59-72.
[4]  G. Chen, M. Strzelecki, A. Materka, Q. Pang and H. Stødkilde-Jørgensen, Image Analysis in Medical Microscopy and Pathology in Texture analysis for improved image diagnostics (eds: Hai-Shan Wu and Andrew J. Eistein), India: Research Signpost, 2007, pp. 167-174.
[5]  M. Strzelecki, A. Materka, P. Szczypinski, MaZda, in Texture analysis for Magnetic Resonance Imaging (eds. M. Hajek, M. Dezertova, A. Materka, R. Lerski), Med4 publishing, 2006, pp.107-114.
[6]  Karlsson, H. Stoedkilde-Joergensen, M. Strzelecki, A. Spisni, D. Jirak, M. Dezertova, M. Hajek, Textures in MR images of food products, in Texture analysis for Magnetic Resonance Imaging (eds. M. Hajek, M. Dezertova, A. Materka, R. Lerski), Med4 publishing, 2006, pp.193-207.
[7]  M. Strzelecki, A. Materka, On the accuracy of selected texture segmentation methods, Computer Vision and Graphics, International Conference ICCGV 2004, Warsaw, September 2004, Proceedings (eds. K. Wojciechowski, B. Smolka, H. Palus, R.S. Kozera, W. Skarbek, L. Noakes), Springer Verlag, 2006, pp. 546-551.
[8]  Więcek, M. Strzelecki, T. Jakubowska, M. Wysocki, C. Drews-Peszyński, Advanced Thermal Image Processing, in Medical Devices and Systems, The Biomedical Engineering Handbook (ed. Joseph D. Bronzino), Third edition; CRC Press 2006, pp. 28.1-28.13.
[9]  M. Strzelecki, Wavelet transform, in Biocybernetics and Biomedical Engineering 2000 (ed. M. Nałęcz), vol. 8, Medical Imaging (eds. L. Chmielewski, J. Kulikowski, A. Nowakowski), AOW Exit, Warszawa 2003, pp. 71-83 (In Polish).
[10]  Materka, M. Strzelecki, R. Lerski, L. Schad, Feature Evaluation of Texture Test Objects for Magnetic Resonance Imaging, in Texture Analysis in Machine Vision, Series in Machine Percept. & Artificial Intellig., Vol. 40, (ed. M.K. Pietikainen), World Scientific, Singapore 2000, pp. 197-206.
[11]  Materka, M. Strzelecki: Observation Domain Partitioning by Means of an ANNs in Real-Time Parameter Estimation Systems, in Computational Intelligence and Applications, (ed. P. Szczepaniak), Springer Verlag, 1999, pp. 234-243.