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
Published in:
Design and Development of a Low Cost Automation Injection Molding Machine of 250 g Capacity Using Microcontroller Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Fuzzy Based Object Shape Recognition Using Translation, Rotation and Scale Invariant Parameters—An Automatic Approach

Authors : Jeet Banerjee, Soma Banerji, Ranjit Ray, Sankar Nath Shome

Published in: CAD/CAM, Robotics and Factories of the Future

Publisher: Springer India

Log in

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

search-config
loading …

Abstract

In this paper, an unsupervised (e.g. autonomous) shape recognition is performed in a structured environment with the help of rotation, translation and scale invariant parameters and fuzzy logic. In a practical scenario, it is undoubtedly difficult to apply a sharp cut-off for defining a particular object shape using an object parameter in crisp parameter based object recognition. To overcome this difficulty, we have proposed to use a well-known concept of fuzzy logic. Applying object’s shape parameters as fuzzy logic inputs, it was observed that oval-shaped, triangular, rectangular, pentagonal and hexagonal objects are autonomously perceived with an overall recognition rate of 91.45 %. The proposed scheme has also been compared with two existing algorithms, presents better results. The detailed description of the results is provided towards the end of this paper.

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 "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

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
previous chapter Virtual Experiments for Integrated Teaching and Learning of Robot Mechanics Using RoboAnalyzer
next chapter Need of Agriculture Hand Tool Design Using Quality and Ergonomics Principles
Literature
Banerjee, J., Ray, R., & Shome, S. N. (2012). A novel approach for freeman chain coding with prior modification using cubic interpolation. In IEEE International Conference on Computational Intelligence & Computing Research (ICCIC) (pp. 1–4).
Banerjee, J., Ray, R., Vadali, S. R. K., Layek, R. K., & Shome, S. N. (2013). Shape recognition based on shape-signature identification and condensibility: Application to underwater imagery. In National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) (1–4).
Belongie, S., Malik, J., & Puzicha, J. (2010). Shape matching and object recognition using shape contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(4), 509–522.CrossRef
Chang, J. Y., & Cho, C. W. (2002). Scene analysis system using a combined fuzzy logic-based technique. Journal of the Chinese Institute of Engineers, 25(3), 297–307.CrossRef
Fonseca, M. J., & Jorge, J. A. (2000). Using fuzzy logic to recognize geometric shapes interactively. FUZZ-IEEE, 1, 291–296.
Gonzalez, R. C., Woods, R. E., & Eddins, S. L. (2009). Digital image processing using MATLAB (2nd ed.). Pearson Education.
Ku, Z. K., Ng, C. F., & Khor, S. W. (2010). Shape based recognition and classification for common objects- an application for video scene analysis. In 2nd International Conference on Computer Engineering and Technology (ICCET) (vol. 3, pp. 13–16).
Mathur, S., & Ahlawat, A. (2008). Application of fuzzy logic on image edge detection (pp. 24–28). Institute of Information Theories and Applications.
Moomivand, E., & Abolfazli, E. (2011). A modified structural method for shape recognition. IEEE Symposium on Industrial Electronics and Applications (ISIEA), 1, 332–336.
Nedeljkovic, I. (2008). Image classification based on fuzzy logic. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 34, 24–28.
Shih, F. Y., & Mitchell, O. R. (1998a). Automated fast recognition and location of arbitrarily shaped objects by image morphology. In Conference on Computer Visison and Pattern Recognition (CVPR) (pp. 774–779).
Shih, F. Y., & Mitchell, O. R. (1998b). Industrial parts recognition and inspection by image morphology. In IEEE International Conference on Robotics and Automation (pp. 1764–1766).
Singh, G., Jati, A., Khasnobish A., Bhattacharyya, S., Konar, A., Tibarewala, D. N., et al. (2012). Object shape recognition from tactile images using regional descriptors. In Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC) (pp. 53–38).
Smith, D., & Lu, G. (2004). Review of shape representation and description techniques. Journal of the Pattern Recognition Society, 37, 1–19.CrossRef
Tyan, C., & Wang, P. P. (1993). Image processing-enhancement, filtering and edge detection using the fuzzy logic approach. FUZZ-IEEE, 600–605.
Metadata
Title
Fuzzy Based Object Shape Recognition Using Translation, Rotation and Scale Invariant Parameters—An Automatic Approach
Authors
Jeet Banerjee
Soma Banerji
Ranjit Ray
Sankar Nath Shome
Copyright Year
2016
Publisher
Springer India
Book
CAD/CAM, Robotics and Factories of the Future

Print ISBN: 978-81-322-2738-0

Electronic ISBN: 978-81-322-2740-3

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-81-322-2740-3_8