Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Soft Computing
Published in: Soft Computing 6/2019

20-07-2018 | Focus

Sensitivity analysis for image represented by fuzzy function

Authors: Petr Hurtik, Nicolás Madrid, Martin Dyba

Published in: Soft Computing | Issue 6/2019

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The standard image representation can be considered as obsolete in image processing area since it was designed mainly to visualize images and not to support image processing algorithms. For that reason, seeking alternative image representations becomes an important issue. This paper focuses on images represented by means of fuzzy functions (so-called fuzzy images) and investigates its sensibility under arbitrary distortions. Then, it shows that this fuzzy representation is less sensitive to distortions than the raster image representation. Finally, it also shows the impact on a practical image processing task, where the fuzzy representation has achieved significantly better results.
previous article Hyperspectral imaging using notions from type-2 fuzzy sets
next article A new edge detection method based on global evaluation using fuzzy clustering

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now
Footnotes
1
imagecompression.info/test_images.
 
Literature
Achanta R, Shaji A, Smith K, Lucchi A, Fua P, Süsstrunk S (2012) Slic superpixels compared to state-of-the-art superpixel methods. IEEE Trans Pattern Anal Mach Intell 34(11):2274–2282CrossRef
Ballard DH (1981) Generalizing the hough transform to detect arbitrary shapes. Pattern Recogn 13(2):111–122MATHCrossRef
Bradski GR, Davis JW (2002) Motion segmentation and pose recognition with motion history gradients. Mach Vis Appl 13(3):174–184CrossRef
Burger W, Burge MJ (2016) Digital image processing: an algorithmic introduction using Java. Springer, BerlinCrossRef
Canny J (1986) A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 6:679–698CrossRef
Chen S-M, Yeh M-S, Hsiao P-Y (1995) A comparison of similarity measures of fuzzy values. Fuzzy Sets Syst 72(1):79–89MathSciNetCrossRef
Freed L, Ishida S (1995) History of computers. Ziff-Davis Publishing Co., New York
Henderson JM, Brockmole JR, Castelhano MS, Mack M (2007) Visual saliency does not account for eye movements during visual search in real-world scenes. In: Eye movements. Elsevier, pp 537–562
Hoover A, Jean-Baptiste G, Jiang X, Flynn PJ, Bunke H, Goldgof DB, Bowyer K, Eggert DW, Fitzgibbon A, Fisher RB (1996) An experimental comparison of range image segmentation algorithms. IEEE Trans Pattern Anal Mach Intell 18(7):673–689CrossRef
Hurtik P, Madrid N (2015) Bilinear interpolation over fuzzified images: enlargement. In: The 2015 IEEE international conference on fuzzy systems (FUZZ-IEEE 2015)
Hurtik P, Vajgl M, Madrid N (2016) Enhancement of night movies using fuzzy representation of images. In: Fuzzy systems (FUZZ-IEEE), 2016 IEEE international conference on, IEEE. pp 1349–1354
Itti L, Koch C (2000) A saliency-based search mechanism for overt and covert shifts of visual attention. Vis Res 40(10):1489–1506CrossRef
Itti L, Koch C (2001) Feature combination strategies for saliency-based visual attention systems. J Electron Imaging 10(1):161–169CrossRef
Jain AK, Vailaya A (1996) Image retrieval using color and shape. Pattern Recogn 29(8):1233–1244CrossRef
Jain R, Kasturi R, Schunck B G (1995) Machine vision, vol 5. McGraw-Hill, New York
Lewis JP (1995) Fast normalized cross-correlation. Vis Interface 10:120–123
Lopez-Molina C, Madrid N (2017) Non-linear scale-space based on fuzzy sharpening. In: Fuzzy systems association and 9th international conference on soft computing and intelligent systems (IFSA-SCIS), 2017 Joint 17th world congress of international, IEEE, 2017, pp 1–6
Madrid N, Hurtik P (2016) Lane departure warning for mobile devices based on a fuzzy representation of images. Fuzzy Sets Syst 291:144–159MathSciNetCrossRef
Murray J D, VanRyper W (1996) Encyclopedia of graphics file formats, 2nd edn. O’Reilly, Sebastopol
Novák V, Perfilieva I, Mockor J (2012) Mathematical principles of fuzzy logic, vol 517. Springer, BerlinMATH
Rowley HA, Baluja S, Kanade T (1998) Rotation invariant neural network-based face detection. In: Computer vision and pattern recognition, 1998. Proceedings. 1998 IEEE computer society conference on, IEEE, 1998, pp 38–44
Seaborn M, Hepplewhite L, Stonham J (2005) Fuzzy colour category map for the measurement of colour similarity and dissimilarity. Pattern Recogn 38(2):165–177MATHCrossRef
Tsai D-M, Lin C-T (2003) Fast normalized cross correlation for defect detection. Pattern Recogn Lett 24(15):2625–2631CrossRef
Viola P, Jones MJ (2004) Robust real-time face detection. Int J Comput Vis 57(2):137–154CrossRef
Weeks AR (1996) Fundamentals of electronic image processing. SPIE Optical Engineering Press, BellinghamMATHCrossRef
Metadata
Title
Sensitivity analysis for image represented by fuzzy function
Authors
Petr Hurtik
Nicolás Madrid
Martin Dyba
Publication date
20-07-2018
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 6/2019
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-018-3402-8

Other articles of this Issue 6/2019

Soft Computing 6/2019 Go to the issue

Focus

Zadeh max–min composition fuzzy rule for dominated pixel values in iris localization

Methodologies and Application

A parallel hybrid optimization algorithm for some network design problems

Methodologies and Application

A new approach to construct similarity measure for intuitionistic fuzzy sets

Focus

Total variation with nonlocal FT-Laplacian for patch-based inpainting

Methodologies and Application

A novel optimization algorithm for recommender system using modified fuzzy c-means clustering approach

Methodologies and Application

Vibration control of a structure using sliding-mode hedge-algebras-based controller

Premium Partner

    Image Credits