Publications

Leszek J Chmielewski

Compiled: 22nd September 2017.    Uploaded: .

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Contents

| Books | Chapters | Papers A | Papers B | Edited volumes | Conferences, indexed | Conferences, other | Conferences, abstracts | Resources and data | Technical reports | Other publications | Citations | Numbers | Info and remarks | 

Books

[1]   L. J. Chmielewski. Evidence Accumulation Methods in Digital Image Analysis. Corrected edition (in Polish). Akademicka Oficyna Wydawnicza EXIT Andrzej Lang, Warsaw, 2015. www.lchmiel.pl/akum06.

[2]   L. J. Chmielewski. Evidence Accumulation Methods in Digital Image Analysis (in Polish). Akademicka Oficyna Wydawnicza EXIT, Warsaw, 2006. www.lchmiel.pl/akum06.

[3]   L. Chmielewski, J. L. Kulikowski, and A. Nowakowski, editors. Biomedical Imaging (in Polish), volume 8 of Biocybernetyka i Inżynieria Biomedyczna 2000, series editor: Maciej Nałęcz. Akademicka Oficyna Wydawnicza EXIT, Warsaw, 2003.

[4]   L. Chmielewski and W. Kosiński, editors. Lecture Notes on Computer Vision and Artificial Intelligence. Ossolineum, Wrocław, 1990. Lectures held at the School on Computer Vision and Artificial Intelligence, Mądralin n. Warsaw, April 24-29, 1989.

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Chapters

[1]   L. J. Chmielewski and A. Orłowski. Detecting changes in time sequences with the competitive detector. In Christian Berger-Vachon, Janusz Kacprzyk, Yuriy Kondratenko, José M. Merigo Lindahl, Carlo Morabito, and Antonio Redondo López, editors, Complex economic systems: issues, challenges and solutions. Dedicated to Professor Jaume Gil Aluja, Studies in Systems, Decision and Control. Springer, 2017. In print.

[2]   M. Janowicz, L. J. Chmielewski, J. Kaleta, L. Ochnio, A. Orłowski, and A. Zembrzuski. Correlations in major indices of the world stock markets. In Christian Berger-Vachon, Janusz Kacprzyk, Yuriy Kondratenko, José M. Merigo Lindahl, Carlo Morabito, and Antonio Redondo López, editors, Complex economic systems: issues, challenges and solutions. Dedicated to Professor Jaume Gil Aluja, Studies in Systems, Decision and Control. Springer, 2017. In print.

[3]   L. J. Chmielewski, M. Janowicz, and A. Orłowski. Prediction of trend reversals in stock market by classification of Japanese candlesticks. In R. Burduk et al., editors, Proc. 9th Int. Conf. Computer Recognition Systems CORES 2015, volume 403 of Advances in Intelligent Systems and Computing, pages 641–647, Wrocław, Poland, 25-27 May 2015. Springer. doi:10.1007/978-3-319-26227-7_60   (PDF).

[4]   L. J. Chmielewski, K. Laszewicz-Śmietańska, P. Mitas, A. Orłowski, et al. Defect detection in furniture elements with the Hough transform applied to 3D data. In R. Burduk et al., editors, Proc. 9th Int. Conf. Computer Recognition Systems CORES 2015, volume 403 of Advances in Intelligent Systems and Computing, pages 631–640, Wrocław, Poland, 25-27 May 2015. Springer. doi:10.1007/978-3-319-26227-7_59   (PDF).

[5]   D. Kozińska and L. Chmielewski. Image registration and multimodal data integration (in Polish). In L. Chmielewski, J. L. Kulikowski, and A. Nowakowski, editors, Biomedical Imaging (in Polish), volume 8 of Biocybernetyka i Inżynieria Biomedyczna 2000, series editor: Maciej Nałęcz, chapter 4, pages 127–164. Akademicka Oficyna Wydawnicza EXIT, Warsaw, 2003.

[6]   L. Chmielewski. Foundations of deterministic methods in pattern recognition. In L. Chmielewski and W. Kosiński, editors, Lecture Notes on Computer Vision and Artificial Intelligence, pages 85–122. Ossolineum, Wrocław, 1990.

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Papers – List A*

[1]   M. Bator and L. J. Chmielewski. Finding regions of interest for cancerous masses enhanced by elimination of linear structures and considerations on detection correctness measures in mammography. Pattern Analysis & Applications, 12(4):377–390, Aug 2009. doi:10.1007/s10044-008-0134-x  (PDF)  IF=0.814 (2012), 20 pts (2012).

[2]   L. J. Chmielewski. Fuzzy histograms, weak fuzzification and accumulation of periodic quantities. Application in two accumulation-based image processing methods. Pattern Analysis & Applications, 9(2-3):189–210, Oct 2006. doi:10.1007/s10044-006-0037-7   (PDF)   (Supplementary material – phantom)   IF=0.814 (2012), 20 pts (2012).

[3]   P.F. Kukołowicz, A. Dąbrowski, P. Gut, L. Chmielewski, A. Wieczorek, and P. Kędzierawski. Evaluation of set-up deviations during the irradiation of patients suffering from breast cancer treated with two different techniques. Radiotherapy and Oncology, 75(1):22–27, 2005. doi:10.1016/j.radonc.2005.02.004  IF=4.520 (2012), 40 pts (2012).

[4]   P. Gut, L. Chmielewski, P. Kukołowicz, and A. Dąbrowski. Edge-based robust image registration for incomplete and partly erroneous data. In W. Skarbek, editor, Proc. 9th Int. Conf. CAIP 2001, volume 2124 of Lecture Notes in Computer Science, pages 309–316, Warsaw, Poland, 5-8 Sep 2001. Springer Verlag. doi:10.1007/3-540-44692-3_38  (PDF)  13 pts (oldest data from 2004).

[5]   M. Mari, C. Dambra, D. Chetverikov, et al. The CRASH Project: Defect detection and classification in ferrite cores. In A. Del Bimbo, editor, Proc. 9th Int. Conf. Image Analysis and Processing, volume 1310 of Lecture Notes in Computer Science, pages 781–787 (vol. II), Florence, Italy, 17-19 Sep 1997. Springer Verlag. doi:10.1007/3-540-63508-4_196   (PDF)  13 pts (oldest data from 2004).

[6]   L. Chmielewski, E. Chmielewska, M. Skłodowski, W. Cudny, and J. Skoczylas. Finding postirradiation reaction in lungs from digitized X-rays. In V. Hlaváč and R. Šára, editors, Proc. 6th Int. Conf. CAIP’95, volume 970 of Lecture Notes in Computer Science, pages 850–855, Prague, Czech Republic, 6-8 Sep 1995. Springer Verlag. doi:10.1007/3-540-60268-2_392   (PDF)  13 pts (oldest data from 2004).

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Papers – List B**

[1]   L. J. Chmielewski and A. Orłowski. Hough transform for lines with slope defined by a pair of co-primes. Machine Graphics & Vision, 22(1/4):17–25, 2013. [Open access: mgv.wzim.sggw.pl/MGV22.html]  5 pts.

[2]   M. Olejniczak, T. Śmiałowski, L. J. Chmielewski, and A. Orłowski. Problems of visualization of digital images for the blind persons with special attention paid to business graphics. Information Systems in Management, 2(4):300–312, 2013.   (PDF)  7 pts.

[3]   L. J. Chmielewski. Accumulation methods in the processing of difficult images. Journal of Medical Informatics & Technologies, 12:11–21, Oct 2008.   (PDF)  6 pts (oldest data from 2010).

[4]   A. Dąbrowski, P.F. Kukołowicz, P. Kędzierawski, A. Wieczorek, P. Gut, and L. Chmielewski. The evaluation of results of a one-year study of accuracy of irradiation in the Holycross Cancer Centre (in Polish: podsumowanie rocznych wyników kontroli odtwarzalności napromieniania w Świętokrzyskim centrum onkologii). Reports of Practical Oncology and Radiotherapy, 8(4):153–162, 2003.   (PDF)  9 pts (oldest data from 2010).

[5]   L. Chmielewski, P.F. Kukołowicz, P. Gut, and A. Dąbrowski. Assessment of the quality of radiotherapy with the use of portal and simulation images – the method and the software. Journal of Medical Informatics & Technologies, 3:MI–171 – MI–179, Nov 2002.   (PDF)  6 pts (oldest data from 2010).

[6]   M. Nieniewski, L. Chmielewski, A. Jóźwik, and M. Skłodowski. Morphological detection and feature-based classification of cracked regions in ferrites. Machine Graphics & Vision, 8(4):699–712, 1999.   (PDF)  6 pts (oldest data from 2005).

[7]   M. Mari, P. C. Smits, P. Kieś, and L. Chmielewski. Interactive object detection using a fuzzy image segmentation approach. Machine Graphics & Vision, 7(4):765–780, 1998.   6 pts (oldest data from 2005).

[8]   A. Jóźwik, L. Chmielewski, et al. A parallel net of (1-NN, k-NN) classifiers for optical inspection of surface defects in ferrites. Machine Graphics & Vision, 7(1-2):99–112, 1998.   (PDF)  6 pts (oldest data from 2005).

[9]   L. Chmielewski. The concept of a competitive step and roof edge detector. Machine Graphics & Vision, 5(1-2):147–156, 1996.   (PDF)  6 pts (oldest data from 2005).

[10]   L. Chmielewski. A note on merging line segments with the search space reduced by a condition based on an ordering. Machine Graphics & Vision, 4(1-2):29–38, 1995.   (PDF)  6 pts (oldest data from 2005).

[11]   L. Chmielewski, M. Skłodowski, W. Cudny, M. Nieniewski, A. Kuriański, and B. Michalski. Fringe image enhancing in the Light Wavelength Stepping Method. Machine Graphics & Vision, 3(3):543–578, 1994.   (PDF)  6 pts (oldest data from 2005).

[12]   W. Cudny and L. Chmielewski. Light wave length measurement with a colour camera. Machine Graphics & Vision, 2(3):251–260, 1993.   6 pts (oldest data from 2005).

[13]   L. Chmielewski. Local method of length and direction estimation for stepped representations of curves – Application to the ‘Weak Membrane’ image restoration algorithm. Machine Graphics & Vision, 2(2):123–142, 1993.   (PDF)  6 pts (oldest data from 2005).

[14]   L. Chmielewski. Instead of the Hough transform – Part one: Sliding estimate of line segments. Machine Graphics & Vision, 1(1-2):269–286, 1992.   (Part two was: M. Słówko. Instead of the Hough transform – Part two: Finding geometrical relations between line segments. Machine Graphics & Vision, 1(3):537-542, 1992.)  6 pts (oldest data from 2005).

[15]   L. Chmielewski and W. Kosiński. Hierarchical pattern recognition method with the multi-level distance function. Engineering Transactions, 38(2):329–343, 1990.   (PDF)  7 pts (oldest data from 2008).

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Edited volumes

[1]   L. J. Chmielewski et al., editors. Computer Vision and Graphics: Proc. Int. Conf. ICCVG 2016, volume 9972 of Lecture Notes in Computer Science, Warsaw, Poland, 19-21 Sep 2016. Springer. doi:10.1007/978-3-319-46418-3  Web of Science, 15 pts (2016).

[2]   L. J. Chmielewski et al., editors. Computer Vision and Graphics: Proc. Int. Conf. ICCVG 2014, volume 8671 of Lecture Notes in Computer Science, Warsaw, Poland, 15-17 Sep 2014. Springer. doi:10.1007/978-3-319-11331-9  Web of Science, 10 pts (2014).

[3]   L. Bolc et al., editors. Computer Vision and Graphics: Proc. Int. Conf. ICCVG 2012, volume 7594 of Lecture Notes in Computer Science, Warsaw, Poland, 24-26 Sep 2012. Springer. doi:10.1007/978-3-642-33564-8  Web of Science, 10 pts (2012).

[4]   L. Bolc et al., editors. Computer Vision and Graphics: Proc. Int. Conf. ICCVG 2010, Part I, volume 6374 of Lecture Notes in Computer Science, Warsaw, Poland, 20-22 Sep 2010. Springer. doi:10.1007/978-3-642-15910-7  List A, 13 pts (2010).

[5]   L. Bolc et al., editors. Computer Vision and Graphics: Proc. Int. Conf. ICCVG 2010, Part II, volume 6375 of Lecture Notes in Computer Science, Warsaw, Poland, 20-22 Sep 2010. Springer. doi:10.1007/978-3-642-15907-7  List A, 13 pts (2010).

[6]   L. Chmielewski, editor. Special Issue on Stereogrammetry and Related Topics. Machine Graphics & Vision, 10(3), 2003.   (Abstracts)  List B, 6 pts (oldest data from 2005).

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Conferences – indexed***

[1]   M. Kruk, B. Świderski, G. Wieczorek, K. Śmietańska, J. Kurek, J. Górski, L. J. Chmielewski, and A. Orłowski. Feature selection for ‘orange skin’ type surface defect in furniture elements. In Proc. Int. Conf. on Graphics and Image Processing ICGIP 2017, Proc. SPIE, 2017. Accepted for publication.

[2]   K. Gajowniczek, L. J. Chmielewski, A. Orłowski, and T. Ząbkowski. Generalized entropy cost function in neural networks. In A. Lintas, S. Rovetta, P.F.M.J. Verschure, and A.E.P. Villa, editors, Artificial Neural Networks and Machine Learning – ICANN 2017. Proc. 26th Int. Conf. on Artificial Neural Networks ICANN 2017, Part I, volume 10613 of Lecture Notes in Computer Science, Alghero, Sardinia, Italy, 11-15 Sep 2017. Springer International Publishing. doi:10.1007/978-3-319-68600-4 In print  (due: Nov 26, 2017). URL: http://www.springer.com/gp/book/9783319685991.

[3]   B. Świderski, M. Kruk, S. Osowski, G. Wieczorek, J. Kurek, L. J. Chmielewski, and A. Orłowski. Milk duct segmentation in microscopic HE images of breast cancer tissues. In Proc. 21st Int. Conf. on Circuits, Systems, Communications and Computers CSCC 2017, Agia Pelagia Beach, Crete Island, Greece, 14-17 Jul 2017. MATEC Web of Conferences. In print   (see Forthcoming, CSCC 2017).

[4]   L. J. Chmielewski and A. Orłowski. Detecting changes with the robust competitive detector. In L. Alexandre, J. Salvador Sánchez, and J. Rodrigues, editors, Proc. 8th Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2017, volume 10255 of Lecture Notes in Computer Science, pages 353–362, Faro, Portugal, 20-23 Jun 2017. Springer, Cham. doi:10.1007/978-3-319-58838-4_39   (PDF).

[5]   M. Kruk, B. Świderski, K. Śmietańska, et al. Detection of ‘orange skin’ type surface defects in furniture elements with the use of textural features. In K. Saeed, W. Homenda, and R. Chaki, editors, Proc. 16th IFIP TC8 Int. Conf. Computer Information Systems and Industrial Management Applications CISIM 2017, volume 10244 of Lecture Notes in Computer Science, pages 402–411, Białystok, Poland, 16-18 Jun 2017. Springer, Cham. doi:10.1007/978-3-319-59105-6_34   (PDF).

[6]   L. J. Chmielewski, M. Janowicz, G. Gawdzik, and A. Orłowski. Contiguous line segments in the Ulam spiral: Experiments with larger numbers. In L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. Zadeh, and J. Zurada, editors, Artificial Intelligence and Soft Computing: Proc. Int. Conf. ICAISC 2017, volume 10245 of Lecture Notes in Artificial Intelligence, pages 463–472, Zakopane, Poland, 11-15 Jun 2017. Springer, Cham. doi:10.1007/978-3-319-59063-9_41   (PDF).

[7]   L. J. Chmielewski, K. Furmańczyk, and A. Orłowski. Competitive detector of changes with a statistical test. In M. Kurzynski et al., editors, Proc. 10th Int. Conf. Computer Recognition Systems CORES 2017, volume 578 of Advances in Intelligent Systems and Computing, pages 433–442, Polanica Zdrój, Poland, 22-24 May 2017. Springer, 2018. doi:10.1007/978-3-319-59162-9_45   (PDF).

[8]   L. J. Chmielewski, A. Orłowski, and G. Gawdzik. Segment counting versus prime counting in the Ulam square. In N.T. Nguyen, S. Tojo, et al., editors, Proc. 9th Asian Conference on Intelligent Information and Database Systems ACIIDS 2017, volume 10192 of Lecture Notes in Artificial Intelligence, pages 227–236, Kanazawa, Japan, 3-5 Apr 2017. Springer. doi:10.1007/978-3-319-54430-4_22   (PDF).

[9]   L. J. Chmielewski, A. Orłowski, G. Wieczorek, K. Śmietańska, and J. Górski. Testing the limits of detection of the ‘orange skin’ defect in furniture elements with the HOG features. In N.T. Nguyen, S. Tojo, et al., editors, Proc. 9th Asian Conference on Intelligent Information and Database Systems ACIIDS 2017, volume 10192 of Lecture Notes in Artificial Intelligence, pages 276–286, Kanazawa, Japan, 3-5 Apr 2017. Springer. doi:10.1007/978-3-319-54430-4_27   (PDF).

[10]   M. Janowicz, L. Ochnio, L. J. Chmielewski, and A. Orłowski. Application of automated theorem-proving to philosophical thought: Spinoza’s Ethics. In Information Science and Applications 2017. Proc. ICISA 2017, volume 424 of Lecture Notes in Electrical Engineering, pages 512–518, Macau, China, 20-23 Mar 2017. Springer Nature. doi:10.1007/978-981-10-4154-9_59   (PDF).

[11]   L. J. Chmielewski, A. Orłowski, and M. Janowicz. A study on directionality in the Ulam square with the use of the Hough transform. In S. Kobayashi, A. Piegat, et al., editors, Hard and Soft Computing for Artificial Intelligence, Multimedia and Security: Proc. Conf. ACS 2016, volume 534 of Advances in Intelligent Systems and Computing, pages 81–90, Międzyzdroje, Poland, 19-21 Oct 2016. Springer. doi:10.1007/978-3-319-48429-7_8   (PDF).

[12]   L. J. Chmielewski and A. Orłowski. Finding line segments in the Ulam square with the Hough transform. In L. J. Chmielewski, A. Datta, R. Kozera, and K. Wojciechowski, editors, Computer Vision and Graphics: Proc. Int. Conf. ICCVG 2016, volume 9972 of Lecture Notes in Computer Science, pages 617–626, Warsaw, Poland, 19-21 Sep 2016. Springer. doi:10.1007/978-3-319-46418-3_55   (PDF).

[13]   L. J. Chmielewski, A. Orłowski, K. Śmietańska, J. Górski, et al. Detection of surface defects of type ‘orange skin’ in furniture elements with conventional image processing methods. In F. Huang and A. Sugimoto, editors, Image and Video Technology – PSIVT 2015 Workshops, volume 9555 of Lecture Notes in Computer Science, pages 26–37, Auckland, New Zealand, 23-27 Nov 2015. Springer, 2016. doi:10.1007/978-3-319-30285-0_3   (PDF).

[14]   M. Bator, L. J. Chmielewski, and A. Orłowski. Heuristic assessment of parameters of the local ground approximation from terrestrial LIDAR data. In F. Huang and A. Sugimoto, editors, Image and Video Technology PSIVT 2015 Workshops, volume 9555 of Lecture Notes in Computer Science, pages 88–97, Auckland, New Zealand, 23-27 Nov 2015. Springer, 2016. doi:10.1007/978-3-319-30285-0_8   (PDF).

[15]   L. J. Chmielewski, M. Janowicz, L. Ochnio, and A. Orłowski. Clusterization of indices and assets in the stock market. In Proc. 6th Int. Conf. Intelligent Data Engineering and Automated Learning IDEAL 2015, volume 9375 of Lecture Notes in Computer Science, pages 541–550, Wrocław, Poland, 14-16 Oct 2015. Springer. doi:10.1007/978-3-319-24834-9_63   (PDF).

[16]   M. Bator, L. J. Chmielewski, and A. Orłowski. Where is the ground? Quality measures for the planar digital terrain model in Terrestrial Laser Scanning. In V. Murino and E. Puppo, editors, Image Analysis and Processing: Proc. Int. Conf. ICIAP 2015, volume 9279 of Lecture Notes in Computer Science, pages 343–353, Genoa, Italy, 7-11 Sep 2015. Springer. doi:10.1007/978-3-319-23231-7_31   (PDF).

[17]   L. J. Chmielewski and A. Orłowski. Ground level recovery from Terrestrial Laser Scanning data with the Variably Randomized Iterated Hierarchical Hough Transform. In G. Azzopardi and N. Petkov, editors, Computer Analysis of Images and Patterns: Proc. Int. Conf. CAIP 2015, volume 9256 of Lecture Notes in Computer Science, pages 630–641, Valletta, Malta, 2-4 Sep 2015. Springer. doi:10.1007/978-3-319-23192-1_53   (PDF).

[18]   L. J. Chmielewski, M. Janowicz, and A. Orłowski. Clustering algorithm based on molecular dynamics with Nose-Hoover thermostat. Application to Japanese candlesticks. In L. Rutkowski et al., editors, Artificial Intelligence and Soft Computing: Proc. Int. Conf. ICAISC 2015, volume 9120 of Lecture Notes in Artificial Intelligence, pages 330–340. Springer, 2015. doi:10.1007/978-3-319-19369-4_30   (PDF).

[19]   L. J. Chmielewski, M. Janowicz, J. Kaleta, and A. Orłowski. Pattern recognition in the Japanese candlesticks. In A. Wiliński et al., editors, Soft Computing in Computer and Information Science: Proc. Conf. ACS 2014, volume 342 of Advances in Intelligent Systems and Computing, pages 227–234. Springer, 2015. doi:10.1007/978-3-319-15147-2_19   (PDF).

[20]   L. J. Chmielewski, M. Bator, and M. Olejniczak. Advantages of using object-specific knowledge at an early processing stage in the detection of trees in LIDAR data. In Computer Vision and Graphics: Proc. Int. Conf. ICCVG 2014, volume 8671 of Lecture Notes in Computer Science, pages 145–154. Springer, 2014. doi:10.1007/978-3-319-11331-9_18   (PDF).

[21]   L. J. Chmielewski and M. Bator. Hough transform for opaque circles measured from outside and fuzzy voting for and against. In Computer Vision and Graphics: Proc. Int. Conf. ICCVG 2012, volume 7594 of Lecture Notes in Computer Science, pages 313–320, Warsaw, Poland, 24-26 Sep 2012. Springer. doi:10.1007/978-3-642-33564-8_38   (PDF, with erratum).

[22]   L. J. Chmielewski, M. Bator, M. Zasada, et al. Fuzzy Hough transform-based methods for extraction and measurements of single trees in large-volume 3D terrestrial LIDAR data. In Computer Vision and Graphics: Proc. Int. Conf. ICCVG 2010, Part I, volume 6374 of Lecture Notes in Computer Science, pages 265–274, Warsaw, Poland, 20-22 Sep 2010. Springer. doi:10.1007/978-3-642-15910-7_30   (PDF).

[23]   M. Bator and L. J. Chmielewski. Elimination of linear structures as an attempt to improve the specificity of cancerous mass detection in mammograms. In M. Kurzyński et al., editors, Computer Recognition Systems 2: Proc. Int. Conf. CORES 2007, volume 45 of Advances in Soft Computing, pages 596–603, Wrocław, Poland, 22-25 Oct 2007. Springer Verlag, 2007. doi:10.1007/978-3-540-75175-5_75   (PDF).

[24]   L. Chmielewski. Scale and rotation invariance of the evidence accumulation-based line detection algorithm. In M. Kurzyński et al., editors, Computer Recognition Systems: Proc. Int. Conf. CORES 2005, volume 30 of Advances in Soft Computing, pages 363–370, Rydzyna, Poland, 22-25 May 2005. Springer Verlag. doi:10.1007/3-540-32390-2_42   (PDF).

[25]   L. Chmielewski. Specification of the evidence accumulation-based line detection algorithm. In M. Kurzyński et al., editors, Computer Recognition Systems: Proc. Int. Conf. CORES 2005, volume 30 of Advances in Soft Computing, pages 355–362, Rydzyna, Poland, 22-25 May 2005. Springer Verlag. doi:10.1007/3-540-32390-2_41   (PDF).

[26]   L. Chmielewski. Detection of non-parametric lines by evidence accumulation: Finding blood vessels in mammograms. In K. Wojciechowski et al., editors, Computer Vision and Graphics: Proc. Int. Conf. Computer Vision and Graphics ICCVG 2004, volume 32 of Computational Imaging and Vision, pages 373–380, Warsaw, Poland, 22-24 Sep 2004. Springer Verlag, 2006. doi:10.1007/1-4020-4179-9_54   (PDF).

[27]   L. Chmielewski. Choice of the Hough transform for image registration. In A. Nowakowski and B.B. Kosmowski, editors, Proc. SPIE, volume 5505: Optical Methods, Sensors, Image Processing, and Visualization in Medicine, pages 122–134, 2004. doi:10.1117/12.577912   (PDF).

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Conferences – other

[1]   L. Chmielewski. Image registration with the Hough transform (in Polish: Nakładanie obrazów metodą transformaty Hougha). In A. Nowakowski, editor, Proc. 13th Polish Conf. on Biocybernetics and Biomedical Engineering KBIB 2003, pages 830–835, Gdańsk, Poland, 10-13 Sep 2003. Politechnika Gdańska.   (PDF).

[2]   L. Chmielewski, M. Skłodowski, and W. Cudny. Classification of defects on the surface of black ceramics. In J. Kasperkiewicz and A.M. Brandt, editors, Proc. AMAS Workshop on Structural Image Analysis in Investigation of Concrete SIAIC’02, number 3 in Conference proceedings, pages 203–230, Warsaw, 21-23 Oct 2002. Centre of Excellence of Advanced Materials and Structures, IFTR PAS, Warsaw 2003.   (PDF).

[3]   L. Chmielewski and D. Kozińska. Image registration. In M. Kurzyński, E. Puchała, and M. Woźniak, editors, Proc. 3rd Polish Conf. on Computer Pattern Recognition Systems KOSYR 2003, pages 52–57, Miłków, Poland, 26-29 May 2003. Wrocław University of Technology.   (PDF).

[4]   P. Gut, L. Chmielewski, P.F. Kukołowicz, and A. Dąbrowski. Image registration – precise quality assessment of radiotherapy without necessity of showing corresponding points in simulation and portal images (in Polish: Nakładanie obrazów – precyzyjna ocena jakości radioterapii bez określania odpowiedniości punktów na obrazie symulacyjnym i portalowym). In Proc. 4th Symp. Image Processing Techniques (TPO 2002) – Papers and Communications, pages 154–161, Serock, Poland, 21-23 Nov 2002. Division of Image Processing, IMiO, Warsaw University of Technology, Oficyna Wydawnicza Politechniki Warszawskiej, 2003.   (PDF).

[5]   L. Chmielewski. The AH line edge detector and the hierarchical Hough transform as detectors of the irradiation field in simulation images. In K. Wojciechowski, editor, Proc. Int. Conf. Computer Vision and Graphics ICCVG 2002, volume 1, pages 192–199, Zakopane, Poland, 25-29 Sep 2002.   (PDF).

[6]   L. Chmielewski, P. Gut, P.F. Kukołowicz, and A. Dąbrowski. Robust feature-based image registration using modified Hausdorff distance measure with the evolving quantile rank. In F. Leberl and A. Ferko, editors, Proc. East-West Vision EWV’02. Int. Workshop and Project Festival on Computer Vision, Computer Graphics and New Media, pages 23–28, Graz, Austria, 12-13 Sep 2002. Austrian Computer Society.   (PDF).

[7]   L. Chmielewski, P. Gut, P. Kukołowicz, and A. Dąbrowski. Robust matching of images by an algorithm based on voting for treatment accuracy assessment in radiotherapy. In M. Kurzyński, E. Puchała, and M. Woźniak, editors, Proc. 2nd Polish Conf. on Computer Pattern Recognition Systems KOSYR 2001, pages 211–216, Miłków, Poland, 28-31 May 2001. Wrocław University of Technology.   (PDF).

[8]   A. Jóźwik, L. Chmielewski, M. Skłodowski, and W. Cudny. A proposition of the new feature space and its use to construction of a fast minimum distance classifier. In M. Kurzyński, E. Puchała, and M. Woźniak, editors, Proc. 2nd Polish Conf. on Computer Pattern Recognition Systems KOSYR 2001, pages 381–386, Miłków, Poland, 28-31 May 2001. Wrocław University of Technology.   (PDF).

[9]   A. Jóźwik, L. Chmielewski, M. Skłodowski, and W. Cudny. Class overlap rate as a design criterion for parallel Nearest Neighbour classifier. In M. Kurzyński, E. Puchała, and M. Woźniak, editors, Proc. 1st Polish Conf. on Computer Pattern Recognition Systems KOSYR’99, pages 109–115, Trzebieszowice, Poland, 24-27 May 1999. Wrocław University of Technology.   (PDF).

[10]   G. Vernazza, M. Lugg, et al. SQUASH: Standard Compliant Quality Control System for High-level Ceramic Material Manufacturing. In Proc. INCO-COPERNICUS-INTAS Workshop on Advanced Ceramics and Alloys, pages 1–13, Brussels, Belgium, 12-13 Mar 1998. European Commission, Directoriate Général XII.

[11]   L. Chmielewski, M. Skłodowski, W. Cudny, M. Nieniewski, and A. Jóźwik. Optical system for detection and classification of surface defects in ferrites. In Proc. 3rd Symp. Image Processing Techniques (3 TPO), pages 1–13, Serock, Poland, 29-31 Oct 1997. Division of Image Processing, IMiO, Warsaw University of Technology, Oficyna Wydawnicza Politechniki Warszawskiej.   (PDF).

[12]   A. Jóźwik, L. Chmielewski, W. Cudny, and M. Skłodowski. A 1-NN preclassifier for fuzzy k-NN rule. In Proc. 13th Int. Conf. Pattern Recognition (ICPR’96), volume IV, pages D–234 – D–238, Wien, Austria, 25-29 Aug 1996. IAPR, Technical Univ. Vienna, IEEE. doi:10.1109/ICPR.1996.547422   (Draft PDF).

[13]   L. Chmielewski, M. Skłodowski, M. Nieniewski, and A. Kuriański. Computer processing of low quality images. In M. Akiyama and M. Kleiber, editors, Proc. of the Japan-Central Europe Joint Workshop on Advanced Computing in Engineering, pages 373–378, Pułtusk, Poland, 26-29 Sep 1994. Science & Technology Agency (Japan) & KBN (Poland), Institute of Fundamental Technological Research, PAS.

[14]    L. Chmielewski, M. Skłodowski, W. Cudny, M. Nieniewski, A. Kuriański, and B. Michalski. Nonstandard methods of enhancing fringe images. In W. Zamojski and D. Caban, editors, Microcomputer’94. Proc. 5-th School: Computer Vision & Graphics, pages 209–223, Zakopane, Poland, 15-19 Feb 1994. Institute of Engineering Cybernetics, TU of Wrocław.

[15]   L. Chmielewski. Vision-controlled stand for sorting (in Polish). In Proc. 3rd National Conf. Robotics, vol. 2, number 38 in Scientific Reports of the Institute of Technical Cybernetics, series: Conferences, pages 44–49, Wrocław, 19-21 Sep 1990. Wrocław University of Technology.

[16]   L. Chmielewski. Feature selection and time minimization in the multi-level minimum-distance recognition algorithm. In Proc. 9-th Conf. Computer Methods in Mechanics, pages 198–205, Rytro, Poland, 15-20 May 1989. Publishers of the Cracow University of Technology.   (PDF).

[17]   L. Chmielewski. Time-optimal recognition method with the multi-level distance function. In Proc. 3rd Int. Conf. Image Processing and its Applications, number 307 in Conference Publications, pages 117–121, Warwick, UK, 21-23 Jul 1989. IEE.   (paper in IEEE Explore).

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Conferences – abstracts

[1]   P. Gut, P. Kukołowicz, L. Chmielewski, and A. Dąbrowski. Assessment of the accuracy of radiotherapy by digital superposition of portal and reference images. In Proc. Conf. Advances in Radiation Ocology: Diagnosis – Treatment Planning – Clinical Outcome, volume 6(1) of Reports of Practical Oncology and Radiotherapy, pages 38–39, Poznań, Poland, 19-21 Apr 2001. Abstract   (PDF).

[2]   M. Nieniewski, L. Chmielewski, et al. Morphological detection and feature-based classification of cracked regions in ferrites. In T.A. Kowalewski, W. Kosiński, and J. Kompenhans, editors, Proc. Euromech 406 Colloquium: Image Processing Methods in Applied Mechanics IPMAM’99 - Book of Abstracts, number 4 in IFTR Reports, pages 151–154, Warsaw, Poland, 6-8 May 1999. Institute of Fundamental Technological Research, PAS. Extended summary   (HTML).

[3]   L. Chmielewski, M. Skłodowski, et al. Detection and classification of surface irregularities in black ceramics. In Proc. Workshop on Standardisation in the Field of Non-Destructive Testing and Quality Control of Sintered Powder Materials, pages 1–13, Cagliari, Italy, 6 Nov 1998. Università di Cagliari. Extended summary   (HTML).

[4]   L. Chmielewski, M. Nieniewski, M. Skłodowski, and W. Cudny. Detection of surface defects and irregularities of ferrites. In M. Weigl, editor, Proc. 31st Polish Solid Mechanics Conference SolMec’96 - book of abstracts, pages 63–64, Mierki, Poland, 9-14 Sep 1996. IFTR PAS. Abstract   (PDF).

[5]   L. Chmielewski, M. Skłodowski, W. Cudny, M. Nieniewski, A. Kuriański, and B. Michalski. Nonstandard methods of enhancing fringe images (in Polish). In Proc. 2nd Symp. Image Processing Techniques (2 TPO), pages 9–10, Serock, Poland, 18-20 Nov 1993. Division of Image Processing, IMiO, Warsaw University of Technology, Oficyna Wydawnicza Politechniki Warszawskiej. Abstract.

[6]   W. Cudny and L. Chmielewski. Measurement of light wave length with a colour camera (in Polish). In Proc. 2nd Symp. Image Processing Techniques (2 TPO), pages 11–12, Serock, Poland, 18-20 Nov 1993. Division of Image Processing, IMiO, Warsaw University of Technology, Oficyna Wydawnicza Politechniki Warszawskiej. Abstract.

[7]   L. Chmielewski. The use of Collocation Method in solving planar elastostatics problem in arbitrary regions with arbitrary boundary conditions. In Proc. 25th Polish Solid Mechanics Conference - Abstracts, pages 37–38, Jachranka, Poland, 27-31 Aug 1984. Institute of Fundamental Technological Research, PAS. Abstract.

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Resources and data

[1]   L. J. Chmielewski and A. Orłowski. Prime numbers in the Ulam square, 2016. www.lchmiel.pl/primes [Online; accessed 14 Oct 2016].

[2]   L. J. Chmielewski. Supplementary material to the book: Evidence accumulation methods in digital image analysis, 2015. www.lchmiel.pl/akum06 [Online; accessed 10 Nov 2015].

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Technical reports

[1]   W. Cudny and L. Chmielewski. Contrast transfer function in a system with a CCD camera (in Polish). Report of the Division of Optical and Computer Methods in Mechanics, IFTR PAS, Dec 1997.

[2]   L. Chmielewski. Failure of the 2D version of the step and roof edge detector derived from a competitive filter. Report of the Division of Optical and Computer Methods in Mechanics, IFTR PAS, Dec 1997.   (PDF).

[3]   F. Fontana, M. Mari, et al. CRAck and SHape defect detection in ferrite cores. Final Technical Report of the Project CRASH, CRASH Consortium, Jan 1997.

[4]   F. Fontana, M. Mari, et al. CRAck and SHape defect detection in ferrite cores. 3rd Technical Progress Report of the Project CRASH, CRASH Consortium, Jul 1996.

[5]   F. Fontana, M. Mari, D. Chetverikov, M. Lugg, T. Postupolski, A. Jóźwik, M. Skłodowski, M. Nieniewski, W. Cudny, and L. Chmielewski. CRAck and SHape defect detection in ferrite cores. 2nd Technical Progress Report of the Project CRASH, CRASH Consortium, Feb 1996.

[6]   L. Chmielewski. The concept of step and roof edge detector derived from a competitive filter – new edge intensity measure. Report of the Division of Optical and Computer Methods in Mechanics, IFTR PAS, and the Signal Processing and Understanding Group, DIBE, Univ. Genova, Italy, Sept 1996.

[7]   L. Chmielewski. The concept of step and roof edge detector derived from a competitive filter – a new condition of edge existence. Report of the Division of Optical and Computer Methods in Mechanics, IFTR PAS, and the Signal Processing and Understanding Group, DIBE, Univ. Genoa, Italy, Mar 1996.

[8]   P. C. Smits, M. Mari, S. Dellepiane, P. Kieś, and L. Chmielewski. An introduction to interactive object detectiuon in medical imaging using a fuzzy image segmentation approach. Report of the Signal Processing and Understanding Group, DIBE, Univ. Genoa, Italy, and the Division of Optical and Computer Methods in Mechanics, IFTR PAS, Sept 1995.

[9]   L. Chmielewski. Finding the depth map in a stereoscopic system. Report within the research project KBN no. 8 S503 027 05 Scene modelling with stereoscopic methods, EPSILON ARG, Sept 1995.

[10]   L. Chmielewski. Software for prediction and mutual correlation of positions of straight line segments in a time sequence of images with the use of a Kalman filter (in Polish). Report within the research project KBN no. 8 S505 014 05 Development of the methods of motion analysis in images, in application to videoservomechanisms, EPSILON ARG, Jul 1995.

[11]   L. Chmielewski. Prediction and mutual correlation of positions of straight line segments in a time sequence of images with the use of a Kalman filter (in Polish). Report within the research project KBN no. 8 S505 014 05 Development of the methods of motion analysis in images, in application to videoservomechanisms, EPSILON ARG, Apr 1995.

[12]   L. Chmielewski. Selected programs for extracting features from images (in Polish). Report within the research project KBN no. 8 S505 014 05 Development of the methods of motion analysis in images, in application to videoservomechanisms, EPSILON ARG, Jan 1995.

[13]   L. Chmielewski. Analysis of stereoscopic images – concept and processing scheme (in Polish). ICS PAS Reports 762, Institute of Computer Science, PAS, 1994.

[14]   L. Chmielewski. The concept of step and roof edge detector derived from a competitive filter. EPSILON ARG Report, Nov 1994.

[15]   L. Chmielewski, M. Skłodowski, and W. Cudny. Finding the direction and spacing of interference fringes in the point analysis of specklograms (in Polish). Report of the Division of Optical and Computer Methods in Mechanics, IFTR PAS, Dec 1994.

[16]   L. Chmielewski, E. Chmielewska, J. Skoczylas, W. Cudny, and M. Skłodowski. A trial of estimating the fibrosis in lung after radiotherapy with non-conventional fractioning combined with concurrent chemotherapy in patients with small-cell lung cancer, Part I: Pilot study of the method (in Polish). Center of Oncology – Marie Curie-Skłodowska Institute and Computer Image Analysis Group, IFTR PAS, Oct 1994.

[17]   L. Chmielewski. Software for camera calibrating in a vision system (In Polish). Report within the research project KBN no. 8 S505 014 05 Development of the methods of motion analysis in images, in application to videoservomechanisms, EPSILON ARG, Sept 1994.

[18]   L. Chmielewski. Algorithms of aggregation of straight line segments, detection of vertices and searching for parallelepipeds in images (in Polish). Report within the research project KBN no. 8 S505 014 05 Development of the methods of motion analysis in images, in application to videoservomechanisms, EPSILON ARG, Jun 1994.

[19]   L. Chmielewski. Deriving the displacement state from fringe images in the speckle interferometry method with point readout by means of repeated histogramming. Report of the Division of Optical and Computer Methods in Mechanics, IFTR PAS, Dec 1993.

[20]   L. Chmielewski. Methodology of stress state readout from the isochromatic line image in a photoelastic ring stress gauge (in Polish). EPSILON ARG Report, May 1993.

[21]   L. Chmielewski, M. Skłodowski, W. Cudny, M. Nieniewski, A. Kuriański, and B. Michalski. Fringe image processing in the White Light Wavelength Stepping Method (in Polish). Report within the research project KBN no. 8055 91 02 Computer Acquisition of polychromatic interference image in speckle methods for deformation field measurement, EPSILON ARG, Apr 1993.

[22]   L. Chmielewski. Proposition of the standard way of naming variables in image analysis programs (in Polish). In Chmielewski and Kosiński [24], pages 80–93.   (chapter in RCIN).

[23]   L. Chmielewski and W. Kosiński. Hierarchical pattern recognition method with the multi-level distance function (in Polish). In Computer Modeling of Perception and Reasoning – II (in Polish) [24], pages 5–11.   (chapter in RCIN).

[24]   L. Chmielewski and W. Kosiński, editors. Computer Modeling of Perception and Reasoning – II (in Polish). Number 42 in IFTR Reports. Institute of Fundamental Technological Research, PAS, 1988.   (book in RCIN).

[25]   L. Chmielewski. Robotics, vision systems, expert systems and artificial intelligence (in Polish). In W. Kosiński, editor, Computer Modeling of Perception and Reasoning – I, number 31 in IFTR Reports, pages 6–72. Institute of Fundamental Technological Research, PAS, 1987.

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Other publications

[1]   Krajowy Punkt Kontaktowy Programów Badawczych UE, Warszawa. Poradnik 6. Programu Ramowego Unii Europejskiej w zakresie priorytetów tematycznych, 2003. Zredagowany przez Wojciecha Kwiatkowskiego na podstawie materiałów przygotowanych przez Leszka Chmielewskiego.

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Citations

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Numbers

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Info and remarks

Remark on external links

If a link does not open properly, try to open it in a new window. This concerns especially some links through the DOI system in the case when this page is opened in a frame from my page at the Faculty.

Info on the points and lists: List A* and List B**

The points given above for some of the publications are the points assigned by the Polish Ministry of Science and Higher Education (pol.: Ministerstwo Nauki i Szkolnictwa Wyższego). The points are used for evaluation purposes – evaluations of scientific institutions and scientists as persons. The points are assigned in the form of lists of scientific journals known as List A, List B and List C.

Very generally speaking, List A contains journals which have the impact factor (IF) and List B contains other good journals (see also the next subsection). List C contains good journals in humanities. Unlisted journals are treated as journals of unknown quality and publications in them are assigned very few points, like 1 or 2, if any, depending on the year.

The three lists and the accompanying rules are usually published in the end of each year, as a result of the process of evaluation of scientific journals. Therefore, the points assigned to a given periodical can change in time.

Some information on the lists can be found in Wikipedia (in Polish).

Remark on LNCS, indexed conference proceedings*** and List A

Some papers published in more distant years and assigned to List A can now seem to fit to other categories. This concerns the publications in Lecture Notes in Computer Science, Springer (LNCS). Actually, this series was once assigned to List A, with 13 points. Then, its status was unclear for some time (I can not remember the exact years, but this was around 2004-2006), and the last known value of 13 points was used by way of inertia. After some time LNCS returned, together with other such proceedings, to the set of valuable publications according to the Ministry, as the indexed conference proceedings***. The values of such proceedings was 10 points until 2014 and 15 points starting from 2015.

At present (2017), indexing in Journal Citation Reports® by Thomson is considered, which practically means that the publication should be found in Web of ScienceTM search service.

In my bibliography, the most recent indexed conference publications can appear not actually indexed yet. However, the conference proceedings they have been published in were indexed in the previous years and the organizers claim that the present ones will be indexed as well.

Remark on the numbers of points

The points valid at the time of publication are given. In some cases, when I did not store the respective numbers in due time, the numbers available from the closest year are used. Such cases are marked.

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