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35 Years of Fuzzy Set Theory pp 197–217Cite as

Fuzzy Techniques in Image Processing at Ghent University: Summary of a 12-Year Journey

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 261))

Abstract

Fuzzy set theory and fuzzy logic provide a mathematical model for approximate reasoning, which mimics human reasoning and can therefore be very powerful. Also in the field of image processing many applications can be found. It was in the late nineties that Etienne’s research group started to work on image processing, and took off on a journey that lasts until today. This chapter is a “crew member’s log” of this journey, with Etienne as our captain, and provides an overview of our work.

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References

  1. De Baets, B., Kerre, E.E., Gupta, M.M.: The fundamentals of fuzzy mathematical morphology - part 1: basic concepts. International Journal of General Systems 23, 155–171 (1995)

    Article  MATH  Google Scholar 

  2. De Baets, B., Kerre, E.E., Gupta, M.M.: The fundamentals of fuzzy mathematical morphology - part 2: idempotence, convexity and decomposition. International Journal of General Systems 23, 307–322 (1995)

    Article  MATH  Google Scholar 

  3. De Baets, B.: Idempotent opening and closing operations in fuzzy mathematical morphology. In: Ayyub, B. (ed.) Proceedings of the joint 3rd International Symposium on Uncertainty Modelling and Analysis and NAFIPS 1995, pp. 228–233. IEEE Computer Society Press, Los Alamitos (1995)

    Google Scholar 

  4. De Baets, B.: Fuzzy morphology: a logical approach. In: Ayyub, B.M., Gupta, M.M. (eds.) Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach, pp. 53–67. Kluwer Academic Publishers, Boston (1997)

    Google Scholar 

  5. De Baets, B., Kwasnikowska, N., Kerre, E.E.: Fuzzy morphology based on conjunctive uninorms. In: Proceedings of IFSA 1997, pp. 215–220 (1997)

    Google Scholar 

  6. Nachtegael, M., Kerre, E.E.: Different Approaches towards Fuzzy Mathematical Morphology. In: Proceedings of EUFIT 1999 (7th European Conference on Intelligent Techniques and Soft Computing), Verlag Mainz GmbH, Aachen, pp. 303–304 (1999) (abstract); paper on CD

    Google Scholar 

  7. Nachtegael, M., Kerre, E.E.: Classical and Fuzzy Approaches towards Mathematical Morphology. In: Kerre, E.E., Nachtegael, M. (eds.) Fuzzy Techniques in Image Processing, pp. 3–57. Physica-Verlag, Heidelberg (2000)

    Google Scholar 

  8. Nachtegael, M., Kerre, E.E.: Connections Between Binary, Gray-scale and Fuzzy Mathematical Morphologies. Fuzzy Sets and Systems 124(1), 73–86 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  9. Nachtegael, M., Kerre, E.E.: Fuzzy Mathematical Morphology: General Concepts and Decomposition Properties. In: Proceedings of KES 1999 (3rd International Conference on Knowledge-based Intelligent Information Engineering Systems), pp. 255–258. IEEE Inc., Los Alamitos (1999)

    Google Scholar 

  10. Nachtegael, M., Kerre, E.E.: Decomposing and Constructing of Fuzzy Morphological Operations over alpha-cuts: Continuous and Discrete Case. IEEE Transactions on Fuzzy Systems 8(5), 615–626 (2000)

    Article  Google Scholar 

  11. Nachtegael, M., Heijmans, H., Van der Weken, D., Kerre, E.E.: Fuzzy Adjunctions in Mathematical Morphology. In: Proceedings of the 7th Joint Conference on Information Sciences (JCIS 2003), pp. 202–205 (2003) ISBN 0-970 890-2-5, ISBN: 0-9707890-2-5

    Google Scholar 

  12. Shi, Y., Nachtegael, M., Ruan, D., Kerre, E.E.: Fuzzy Adjunctions and Fuzzy Morphological Operations based on Fuzzy Implications. International Journal of Intelligent Systems 24(12), 1280–1296 (2009)

    Article  MATH  Google Scholar 

  13. Nachtegael, M., Kerre, E.E., Radzikowska, A.M.: On Links between Fuzzy Morphology and Fuzzy Rough Sets. In: Proceedings of IPMU 2000 (8th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems) Graficias, Spain, pp. 1381–1388 (2000)

    Google Scholar 

  14. De Cock, M., Nachtegael, M., Kerre, E.E.: Images under Fuzzy Relations: a Master-Key to Fuzzy Applications. In: Intelligent Techniques and Soft Computing in Nuclear Science and Engineering - Proceedings of FLINS 2000 (4th International Conference on Fuzzy Logic and Intelligent Technologies for Nuclear Science and Industry), pp. 47–54. World Scientific Publishing, Singapore (2000)

    Chapter  Google Scholar 

  15. Nachtegael, M., De Cock, M., Van der Weken, D., Kerre, E.E.: Fuzzy Relational Images in Computer Science. In: Proceedings of RELMICS’6 (6th International Workshop on Relational Methods in Computer Science), Katholieke Universiteit Brabant, The Netherlands, pp. 156–170 (2001)

    Google Scholar 

  16. Nachtegael, M., De Cock, M., Van der Weken, D., Kerre, E.E.: Fuzzy Relational Images in Computer Science. In: de Swart, H. (ed.) RelMiCS 2001. LNCS, vol. 2561, pp. 134–151. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  17. Kerre, E.E., Nachtegael, M.: Fuzzy Relational Calculus and its Application to Image Processing. In: Di Gesù, V., Pal, S.K., Petrosino, A. (eds.) Fuzzy Logic and Applications. LNCS, vol. 5571, pp. 179–188. Springer, Heidelberg (2009)

    Google Scholar 

  18. De Witte, V., Schulte, S., Nachtegael, M., Van der Weken, D., Kerre, E.E.: Vector Morphological Operators for Colour Images. In: Kamel, M.S., Campilho, A.C. (eds.) ICIAR 2005. LNCS, vol. 3656, pp. 667–675. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  19. De Witte, V., Schulte, S., Nachtegael, M., Mélange, T., Kerre, E.E.: A Lattice-Based Approach to Mathematical Morphology for Greyscale and Colour Images. In: Kaburlasos, V.G., Ritter, G.X. (eds.) Computational Intelligence Based on Lattice Theory. de reeks Studies in Computational Intelligence, vol. 67, pp. 129–148. Springer, Heidelberg (2007) ISBN 978-3-540-72686-9

    Chapter  Google Scholar 

  20. De Witte, V., Schulte, S., Kerre, E.E., Ledda, A., Philips, W.: Morphological Image Interpolation to Magnify Images with Sharp Edges. In: Campilho, A., Kamel, M.S. (eds.) ICIAR 2006. LNCS, vol. 4141, pp. 381–393. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  21. Nachtegael, M., Sussner, P., Mélange, T., Kerre, E.E.: Modelling Numerical and Spatial Uncertainty in Grayscale Image Capture Using Extended Fuzzy Set Theory. In: Proceedings of NASTEC 2008 (1st International North American Simulation Technology Conference), pp. 15–22. Published by Eurosis (2008)

    Google Scholar 

  22. Nachtegael, M., Sussner, P., Mélange, T., Kerre, E.E.: Modelling Numerical and Spatial Uncertainty in Grayscale Image Capture Using Extended Fuzzy Set Theory. Journal of Advanced Computational Intelligence and Intelligent Informatics 13(5), 529–536 (2009) ISSN: 1343-0130

    Google Scholar 

  23. Nachtegael, M., Sussner, P., Mélange, T., Kerre, E.E.: Fuzzy Set Theory in Mathematical Morphology: from Tool to Uncertainty Model. In: Proceedings of WMSCI 2009 (13th World Multi-Conference on Systemics, Cybernetics and Informatics), vol. IV, pp. 149–155 (2009) ISBN-10: 1-934272-62-0, ISBN-13: 978-1-934272-62-6

    Google Scholar 

  24. Nachtegael, M., Sussner, P., Mélange, T., Kerre, E.E.: Fuzzy Set Theory in Mathematical Morphology: from Tool to Uncertainty Model, Accepted for: Information Sciences (special issue, edited by Vassilis Kaburlasos)

    Google Scholar 

  25. Nachtegael, M., Sussner, P., Mélange, T., Kerre, E.E.: Some Aspects of Interval-Valued and Intuitionistic Fuzzy Mathematical Morphology. In: Proceedings of IPCV 2008 (3rd International Conference on Image Processing, Computer Vision and Pattern Recognition), pp. 538–543 (2008) ISBN 1-60132-076-0 en 1-60132-077-9

    Google Scholar 

  26. Nachtegael, M., Sussner, P., Mélange, T., Kerre, E.E.: Foundations of the Interval-Valued Image Model to Model and Process Uncertainty in Image Capture. In: Proceedings of IWSSIP 2010 (17th International Conference on Systems, Signals and Image Processing), Eduff - Editora da Universidade Federal Fluminense, pp. 235–238 (2010), http://www.creacteve.com.br/iwssip/index.htm , ISBN 978-85-228-0565-5

  27. Mélange, T., Nachtegael, M., Sussner, P., Kerre, E.E.: Basic Properties of Interval-Valued Fuzzy Morphological Operators. Accepted for: WCCI 2010 (2010)

    Google Scholar 

  28. Nachtegael, M., Sussner, P., Mélange, T., Kerre, E.E.: An Interval-Valued Fuzzy Morphological Model based on Lukasiewicz-Operators. In: Blanc-Talon, J., Bourennane, S., Philips, W., Popescu, D., Scheunders, P. (eds.) ACIVS 2008. LNCS, vol. 5259, pp. 601–612. Springer, Heidelberg (2008) ISBN 978-3-540-88457-6, ISSN 0302-9743

    Chapter  Google Scholar 

  29. Nachtegael, M., Sussner, P., Mélange, T., Kerre, E.E.: A Study of Interval-Valued Morphology based on the Minimum-Operator. In: Proceedings of SPIE - 2nd International Conference on Digital Image Processing (ICDIP 2010), vol. 7546, pp. 75463H-1–75463H-7 (2010) ISBN 978-0-8194-7942-6

    Google Scholar 

  30. Sussner, P., Nachtegael, M., Mélange, T.: L-Fuzzy Mathematical Morphology: an Extension of Interval-Valued and Intuitionistic Fuzzy Mathematical Morphology. In: Proceedings of NAFIPS 2009 (28th North American Fuzzy Information Processing Society Annual Conference), paper on CD, 6 pages (2009) ISBN 978-1-4244-4577-6

    Google Scholar 

  31. Mélange, T., Nachtegael, M., Kerre, E.E., Sussner, P.: Decomposition of Interval-Valued Fuzzy Morphological Operations by Weak [a1, a2]-cuts. In: Proceedings of IFSA-EUSFLAT 2009 (2009 International Fuzzy Systems Association World Congress), pp. 167–172 (2009), ISBN 978-989-95079-6-8

    Google Scholar 

  32. Mélange, T., Nachtegael, M., Sussner, P., Kerre, E.E.: On the Decomposition of Interval-Valued Fuzzy Morphological Operations. Journal of Mathematical Imaging and Vision 36(3), 270–290 (2010)

    Article  Google Scholar 

  33. Mélange, T., Nachtegael, M., Sussner, P., Kerre, E.E.: Construction of Interval-Valued Fuzzy Morphological Operators by Weak Cuts In: Proceedings of EUROFUSE 2009 (Eurofuse Workshop on Preference Modelling and Decision Analysis), pp. 227–232 (2009) (paper also on CD)

    Google Scholar 

  34. Van der Weken, D., Nachtegael, M., Kerre, E.E.: The Applicability of Similarity Measures in Image Processing. Intellectual Systems 6(1-4), 231–248 (2001) (paper translated in Russian)

    Google Scholar 

  35. Van der Weken, D., Nachtegael, M., Kerre, E.E.: An Overview of Similarity Measures for Images. In: Proceedings of ICASSP 2002 (IEEE International Conference on Acoustics, Speech and Signal Processing), vol. IV, pp. 3317–3320 (2002) ISBN: 0-7803-7403-7

    Google Scholar 

  36. Van der Weken, D., Nachtegael, M., Kerre, E.: Image Quality Evaluation. In: Knowledge-based Intelligent Information Engineering Systems and Allied Technologies. The series Frontiers in Artificial Intelligence and Applications - Proceedings of KES 2002 (6th International Conference on Knowledge-Based Intelligent Information and Engineering Systems), vol. 82, pp. 326–330. IOS Press, Amsterdam (2002)

    Google Scholar 

  37. Van der Weken, D., Nachtegael, M., Kerre, E.: Image Quality Evaluation. In: Proceedings of ICSP 2002 (6th International Conference on Signal Processing), pp. 711–714. IEEE Press, New York (2002) ISBN: 0-7803-7488-6

    Chapter  Google Scholar 

  38. Van der Weken, D., Nachtegael, M., Kerre, E.E.: A New Similarity Measure for Image Processing. Journal of Computational Methods in Applied Sciences and Engineering 3(2), 209–222 (2003)

    MATH  Google Scholar 

  39. Van der Weken, D., Nachtegael, M., Kerre, E.E.: Constructing Neighbourhood-based Image Similarity Measures. In: Abraham, A., Koeppen, M., Franke, K. (eds.) Design and Application of Hybrid Intelligent Systems, Proceedings of HIS 2003 (3rd International Conference on Hybrid Intelligent Systems), pp. 878–886. IOS Press, Amsterdam (2003) ISBN: 1-58603-394-8

    Google Scholar 

  40. Van der Weken, D., Nachtegael, M., Kerre, E.E.: Using Similarity Measures and Homogeneity for the Comparison of Images. Image and Vision Computing 22(9), 695–702 (2004)

    Article  Google Scholar 

  41. Van der Weken, D., Nachtegael, M., Kerre, E.E.: Using Similarity Measures for Histogram Comparison. In: De Baets, B., Kaynak, O., Bilgiç, T. (eds.) IFSA 2003. LNCS, vol. 2715, pp. 396–403. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  42. Van der Weken, D., Nachtegael, M., Kerre, E.E.: Improved Image Quality Measures Using Ordered Histograms. In: Proceedings of the IEEE Signal Processing Society International Workshop on Multimedia Signal Processing (MMSP 2004), Siena (Italy), pp. 67–70 (2004) ISBN: 0-7803-8579-9, IEEE Catalog number: 04TH8761C

    Google Scholar 

  43. Van der Weken, D., Nachtegael, M., Kerre, E.E.: Some New Similarity Measures for Histograms In: Proceedings of 4th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2004), Kolkata (India), pp. 441-446 (2004), ISBN: 81-7764-707-5

    Google Scholar 

  44. Van der Weken, D., Nachtegael, M., De Witte, V., Schulte, S., Kerre, E.E.: A Survey on the Use and the Construction of Fuzzy Similarity Measures in Image Processing. In: Proceedings of CIMSA 2005 (the 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications), Giardini Naxos (Italy), pp. 187 - 192 (2005) (paper on CD), ISBN 0-7803-9026-1, IEEE Catalog number: 05EX1037C

    Google Scholar 

  45. Van der Weken, D., Kerre, E.E., Vansteenkiste, E., Philips, W., Nachtegael, M., Zlokolica, V., Rombaut, J.: Evaluation of Fuzzy Image Quality Measures using a Multidimensional Scaling Framework. In: Proceedings of VPQM 2006 (2nd International Workshop on Video Processing and Quality Metrics for Consumer Electronics), Scottsdale (Arizona, United States), published on CD, ISBN 09774739

    Google Scholar 

  46. Van der Weken, D., Nachtegael, M., Kerre, E.: Combining Neighbourhood-Based and Histogram Similarity Measures for the Design of Image Quality Measures. In: Di Gesú, V., Masulli, F., Petrosino, A. (eds.) WILF 2003. LNCS (LNAI), vol. 2955, pp. 324–331. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  47. Van der Weken, D., Nachtegael, M., Schulte, S., De Witte, V., Kerre, E.E.: Combining Neighbourhood-based and Histogram Similarity Measures for the Design of Image Quality Measures. Image and Vision Computing 25(2), 184–195 (2007)

    Article  Google Scholar 

  48. Van der Weken, D., Nachtegael, M., Schulte, S., De Witte, V., Kerre, E.E.: Constructing Similarity Measures for Colour Images. In: Fuzzy Logic, Soft Computing and Computational Intelligence - Proceedings of IFSA 2005 (11th International Fuzzy Systems Association World Congress), Beijing (China), Vol. II, , pp. 1020 –1025 (2005) ISBN 7-302-11377-7

    Google Scholar 

  49. Van der Weken, D., De Witte, V., Nachtegael, M., Schulte, S., Kerre, E.E.: Colour Image Comparison Using Vector Operators. In: Proceedings of CIMCA 2005 (International Conference on Computational Intelligence for Modelling, Control and Automation), Vienna (Austria), pp. 295–300 (2005) ISBN 0-7695-2504-0

    Google Scholar 

  50. Van der Weken, D., De Witte, V., Nachtegael, M., Schulte, S., Kerre, E.E.: Fuzzy Similarity Measures for Colour Images. In: Proceedings of CIS-RAM 2006 (IEEE International Conferences on Cybernetics & Intelligent Systems and Robotics, Automation & Mechatronics), Bangkok (Thailand), pp. 806–810 (2006) ISBN 1-4244-0023-6, IEEE Catalog number 06EX1248C

    Google Scholar 

  51. Van der Weken, D., De Witte, V., Nachtegael, M., Schulte, S., Kerre, E.E.: A Component-based and Vector-based Approach for the Construction of Quality Measures for Colour Images In: Proceedings of IPMU 2006 (International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems), Paris (France), pp. 1548–1555 (2006)

    Google Scholar 

  52. Van der Weken, D., De Witte, V., Nachtegael, M., Schulte, S., Kerre, E.E.: Colour Image Comparison Using Vector Operators. In: Bustince, H., Herrera, F., Montero, J. (eds.) Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision, pp. 645–662. Springer, Heidelberg (2007) ISBN 978-3-540-73722-3

    Google Scholar 

  53. Nachtegael, M., Schulte, S., De Witte, V., Mélange, T., Kerre, E.E.: Color Image Retrieval Using Fuzzy Similarity Measures and Fuzzy Partitions. In: Proceedings of ICIP 2007 (14th International Conference on Image Processing, San Antonio (United States), paper on CD, ISBN 1-4244-1437-7, ISSN 1522-4880

    Google Scholar 

  54. Nachtegael, M., Schulte, S., De Witte, V., Mélange, T., Kerre, E.E.: Image Similarity: from Fuzzy Sets to Color Image Applications. In: Qiu, G., Leung, C., Xue, X.-Y., Laurini, R. (eds.) VISUAL 2007. LNCS, vol. 4781, pp. 26–37. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  55. Nachtegael, M., Schaefer, G., Mélange, T., Kerre, E.E.: Fuzzy Image Retrieval: a Selection of Recent Advances. In: Proceedings of IPCV 2009 (4th International Conference on Image Processing, Computer Vision and Pattern Recognition), vol. II, pp. 864–869. CSREA Press (2009) ISBN 1-60132-117-1 en 1-60132-118-X

    Google Scholar 

  56. Van De Ville, D., Nachtegael, M., Van der Weken, D., Philips, W., Lemahieu, I., Kerre, E.: A new Fuzzy Filter for Gaussian Noise Reduction. In: Visual Communications and Image Processing, Proceedings of SPIE, vol. 4310, pp. 1–9. SPIE - The international Society for Optical Engineering, United States (2001)

    Google Scholar 

  57. Van De Ville, D., Nachtegael, M., Van der Weken, D., Kerre, E.E., Philips, W., Lemahieu, I.: Noise Reduction by Fuzzy Image Filtering. IEEE Transactions on Fuzzy Systems 11(4), 429–436 (2003)

    Article  Google Scholar 

  58. Nachtegael, M., Van der Weken, D., Van De Ville, D., Kerre, E., Philips, W., Lemahieu, I.: An Overview of Classical and Fuzzy-classical Filters for Noise Reduction In: Proceedings of FUZZ-IEEE 2001 (10th International IEEE Conference on Fuzzy Systems), The Institute of Electrical and Electronics Engineers, Melbourne, pp. 3–6 (2001) (CD) ISBN: 0-7803-7295-6.

    Google Scholar 

  59. Nachtegael, M., Van der Weken, D., Van De Ville, D., Kerre, E., Philips, W., Lemahieu, I.: An Overview of Fuzzy Filters for Noise Reduction. In: Proceedings of FUZZ-IEEE 2001 (10th International IEEE Conference on Fuzzy Systems), The Institute of Electrical and Electronics Engineers, Melbourne, pp. 7–10 (2001) (CD) ISBN: 0-7803-7295-6.

    Google Scholar 

  60. Nachtegael, M., Van der Weken, D., Van De Ville, D., Kerre, E., Philips, W., Lemahieu, I.: A Comparative Study of Classical and Fuzzy Filters for Noise Reduction. In: Proceedings of FUZZ-IEEE 2001 (10th International IEEE Conference on Fuzzy Systems), The Institute of Electrical and Electronics Engineers, Melbourne, pp. 11–14 (CD) (2001) ISBN: 0-7803-7295-6

    Google Scholar 

  61. Nachtegael, M., Van der Weken, D., Kerre, E., Van De Ville, D., Lemahieu, I., Philips, W.: On the Evaluation of Fuzzy Filters. In: Proceedings of SPS 2002 (3rd IEEE Benelux Signal Processing Symposium), Leuven, Belgium, pp. 97–100 (2002)

    Google Scholar 

  62. Nachtegael, M., Schulte, S., Van der Weken, D., De Witte, V., Kerre, E.E.: Fuzzy Filters for Noise Reduction: the Case of Gaussian Noise. In: Proceedings of FUZZ-IEEE 2005 (International IEEE Conference on Fuzzy Systems), p. 33. IEEE, Verenigde Staten (2005) (abstract booklet, ISBN: 0-7803-9158-6, ISSN: 1098-7584) + pp. 201–206 (paper on CD)

    Google Scholar 

  63. Nachtegael, M., Schulte, S., Van der Weken, D., De Witte, V., Kerre, E.E.: Gaussian Noise Reduction in Greyscale Images. International Journal of Intelligent Systems Technologies and Applications 1(3/4), 211–233 (2006)

    Google Scholar 

  64. Schulte, S., Huysmans, B., Pizurica, A., Kerre, E.E., Philips, W.: A New Fuzzy-Based Wavelet Shrinkage Image Denoising Technique. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds.) ACIVS 2006. LNCS, vol. 4179, pp. 12–23. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  65. Schulte, S., Nachtegael, M., De Witte, V., Van der Weken, D., Kerre, E.E.: A Fuzzy Impulse Noise Detection and Reduction Method. IEEE Transactions on Image Processing 15(5), 1153–1162 (2006)

    Article  Google Scholar 

  66. Nachtegael, M., Schulte, S., Van der Weken, D., De Witte, V., Kerre, E.E.: Fuzzy Filters for Noise Reduction: the Case of Impulse Noise. In: Proceedings of SCIS & ISIS 2004 (Joint 2nd International Conference on Soft Computing and Intelligent Systems and 5th International Symposium on Advanced Intelligent Systems), Keio University, Japan, p. 89 (abstract booklet) + paper on CD (6 pages)

    Google Scholar 

  67. Nachtegael, M., Schulte, S., Van der Weken, D., De Witte, V., Kerre, E.E.: Do Fuzzy Techniques offer an Added Value for Noise Reduction in Images? In: Blanc-Talon, J., Philips, W., Popescu, D.C., Scheunders, P. (eds.) ACIVS 2005. LNCS, vol. 3708, pp. 658–665. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  68. Schulte, S., Nachtegael, M., De Witte, V., Van der Weken, D., Kerre, E.E.: Fuzzy Impulse Noise Reduction Methods for Color Images. In: Proceedings of FUZZY DAYS 2006 (International Conference on Computational Intelligence), Dortmund (Germany), pp. 711–720 (2006)

    Google Scholar 

  69. Schulte, S., Nachtegael, M., De Witte, V., Van der Weken, D., Kerre, E.E.: A New Two Step Color Filter for Impulse Noise. In: Proceedings of the 11th Zittau Fuzzy Colloquium, Hochschule Zittau/Görlitz, Germany, pp. 185–192 (2004) ISBN: 3-9808089-5-5

    Google Scholar 

  70. Schulte, S., De Witte, V., Van der Weken, D., Nachtegael, M., Kerre, E.E.: Fuzzy Two-Step Filter for Impulse Noise Reduction from Color Images. IEEE Transactions on Image Processing 15(11), 3567–3578 (2006)

    Article  Google Scholar 

  71. Schulte, S., De Witte, V., Nachtegael, M., Van der Weken, D., Kerre, E.E.: A Novel Histogram Based Fuzzy Restoration Method for Colour Images. In: Blanc-Talon, J., Philips, W., Popescu, D.C., Scheunders, P. (eds.) ACIVS 2005. LNCS, vol. 3708, pp. 626–633. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  72. Schulte, S., De Witte, V., Nachtegael, M., Van der Weken, D., Kerre, E.E.: Histogram-Based Fuzzy Colour Filter for Image Restoration. Image and Vision Computing 25(9), 1377–1390 (2007)

    Article  Google Scholar 

  73. Schulte, S., De Witte, V., Nachtegael, M., Van der Weken, D., Kerre, E.E.: A New Fuzzy Filter for the Reduction of Randomly Valued Impulse Noise. In: Proceedings of ICIP 2006 (13th International Conference on Image Processing), Atlanta (United States), pp. 1809–1812 (2006) Paper also on CD, ISBN 1-4244-0481-9, ISSN 1522-4880

    Google Scholar 

  74. Schulte, S., De Witte, V., Nachtegael, M., Van der Weken, D., Kerre, E.E.: Fuzzy Random Impulse Noise Reduction Method. Fuzzy Sets and Systems 158, 270–283 (2007)

    Article  MathSciNet  Google Scholar 

  75. Schulte, S., De Witte, V., Nachtegael, M., Mélange, T., Kerre, E.E.: A New Fuzzy Additive Noise Reduction Method. In: Kamel, M.S., Campilho, A. (eds.) ICIAR 2007. LNCS, vol. 4633, pp. 12–23. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  76. Basu, A., Nachtegael, M.: OWA Filters: A Robust Filtering Method and its Application to Color Images. In: Proceedings of IEEE-CIIP 2009 (IEEE Symposium on Computational Intelligence for Image Processing), paper on CD, pp. 8–13 (2009) ISBN 978-1-4244-2760-4, part of the Proceedings of the 2009 IEEE Symposium Series on Computational Intelligence, ISBN 978-1-4244-2783-3

    Google Scholar 

  77. Mélange, T., Zlokolica, V., Schulte, S., De Witte, V., Nachtegael, M., Pizurica, A., Kerre, E.E., Philips, W.: A New Fuzzy Motion and Detail Adaptive Video Filter. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds.) ACIVS 2007. LNCS, vol. 4678, pp. 640–651. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  78. Mélange, T., Nachtegael, M., Kerre, E.E., Zlokolica, V., Schulte, S., De Witte, V., Pizurica, A., Philips, W.: Video Denoising by Fuzzy Motion and Detail Adaptive Averaging. Journal of Electronic Imaging 17(4), 43005-01–43005-19 (2008)

    Article  Google Scholar 

  79. Mélange, T., Nachtegael, M., Kerre, E.E.: A Vector Based Fuzzy Filter for Colour Image Sequences. In: Proceedings of IPMU 2008 (12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems), paper on CD (2008) ISBN 978-84-612-3061-7

    Google Scholar 

  80. Mélange, T., Nachtegael, M., Kerre, E.E.: A Fuzzy Filter for the Removal of Gaussian Noise in Colour Image Sequences. In: Proceedings of IFSA-EUSFLAT 2009 (2009 International Fuzzy Systems Association World Congress), pp. 1474–1479 (2009) ISBN 978-989-95079-6-8

    Google Scholar 

  81. Mélange, T., Nachtegael, M., Kerre, E.E.: A Fuzzy Filter for Random Impulse Noise Removal From Video. In: Proceedings of NAFIPS 2010 Annual Conference of the North-American Fuzzy Information Processing Society (2010)

    Google Scholar 

  82. Mélange, T., Nachtegael, M., Kerre, E.E.: A Fuzzy Filter for the Removal of Random Impulse Noise in Colour Video. In: Proceedings of WCCI 2010 IEEE World Conference on Computational Intelligence (2010)

    Google Scholar 

  83. Kerre, E.E., Nachtegael, M. (eds.): Fuzzy Techniques in Image Processing. Studies in Fuzziness and Soft Computing, vol. 52, 429 pagina’s. Springer, Heidelberg (2000)

    MATH  Google Scholar 

  84. Nachtegael, M., Van der Weken, D., Van De Ville, D., Kerre, E.E. (eds.): Fuzzy Filters for Image Processing. Studies in Fuzziness and Soft Computing, vol. 122, 386 pagina’s. Springer, Heidelberg (2003)

    MATH  Google Scholar 

  85. Nachtegael, M., Van der Weken, D., Kerre, E.E., Philips, W. (eds.): Soft Computing in Image Processing: Recent Advances. Studies in Fuzziness and Soft Computing, vol. 210, 521 pagina’s. Springer, Heidelberg (2006)

    Google Scholar 

  86. Hassanien, A.E., Nachtegael, M., Van der Weken, D., Nobuhara, H., Kerre, E.E. (eds.): Soft Computing in Image Processing, Special issue of the international journal Soft Computing - A Fusion of Foundations, Methodologies and Application, vol. 10(12), pp. 1115–1201. Springer, Heidelberg (2006)

    Google Scholar 

  87. Nachtegael, M., Kerre, E., Damas, S., Van der Weken, D. (eds.): Recent Advances in Soft Computing in Image Processing. Special issue of the international journal “International Journal of Approximate Reasoning” 50(1), 1–61 (2009)

    Google Scholar 

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Authors and Affiliations

  1. Dept. of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281 - S9, 9000, Gent, Belgium

    Mike Nachtegael, Tom Mélange, Stefan Schulte, Valérie De Witte & Dietrich Van der Weken

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  1. Mike Nachtegael
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  2. Tom Mélange
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  3. Stefan Schulte
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  4. Valérie De Witte
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  5. Dietrich Van der Weken
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  1. Ghent University, Gent, Belgium

    Chris Cornelis , Glad Deschrijver , Mike Nachtegael , Steven Schockaert  & Yun Shi , , ,  & 

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Nachtegael, M., Mélange, T., Schulte, S., De Witte, V., Van der Weken, D. (2010). Fuzzy Techniques in Image Processing at Ghent University: Summary of a 12-Year Journey. In: Cornelis, C., Deschrijver, G., Nachtegael, M., Schockaert, S., Shi, Y. (eds) 35 Years of Fuzzy Set Theory. Studies in Fuzziness and Soft Computing, vol 261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16629-7_10

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