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:
Introduction to Digital Image Read chapter Read first chapter

2015 | OriginalPaper | Chapter

8. Patterns in Images and Their Applications

Author : Apurba Das

Published in: Guide to Signals and Patterns in Image Processing

Publisher: Springer International Publishing

Log in

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

search-config
loading …

Abstract

“Recognition” is a very important task of any intelligent system. When we are particularly interested in enhancing the ability of a computer by incorporating a vision system in it, in other words the capability of perceiving an image and processing the same, the recognition becomes really important in order to declare a system to be intelligent.

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 Morphology-Based Image Processing
next chapter Psycho-visual pattern recognition: Computer Vision
Footnotes
1
Inductive inference is the process of reaching a general conclusion from specific examples. The general conclusion should be applied to unseen examples, too.
 
Literature
1.
Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, New York (2006)MATH
2.
Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) (2005)
3.
Das, A.: Digital Communication: Principles and System Modelling. Springer, Berlin (2010)CrossRef
4.
Das, A., Mitra, S., Parua, S.: Hierarchical clustering on texture statistics for search space reduction of large scale face recognition. International Conference on Image Information Processing (ICIIP) (2011)
5.
Duda, R.O., Hart, P.E.: Pattern Classification and Scene Analysis. Wiley, New York (1973)MATH
6.
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley, New York (2001)
7.
Harris, C., Stephens, M.: A combined corner and edge detector. In: Fourth Alvey Vision Conference, pp. 147–151, Manchester, UK (1988)
8.
Lowe, D.G.: Object recognition from local scale-invariant features. In: International Conference on Computer Vision, pp. 1150–1157, Corfu, Greece (1999)
9.
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision. 60(2), 91–110 (2004)CrossRef
10.
Lindeberg, T.: Scale-space theory: a basic tool for analyzing structures at different scales. J. Appl. Statist. 21(2), 224–270 (1994)
11.
Mikolajczyk, K.: Detection of local features invariant to affine transformations, Ph.D. thesis, Institut National Polytechnique de Grenoble, France (2002)
12.
Mikolajczyk, K., Schmid, C.: An affine invariant interest point detector. In: European Conference on Computer Vision (ECCV), pp. 128–142, Copenhagen, Denmark (2002)
13.
Mitra, S., Parua, S., Das, A., Mazumdar, D.: A novel data mining approach for performance improvement of EBGM based face recognition system to handle large database, COSIT, 2011, pp. 532–541, LNCS 131 (2011)
14.
Parua, S., Das, A., Mazumdar, D., Mitra, S.: Determination of feature hierarchy from Gabor and SIFT features for face recognition. In: EAIT 2011 (2011)
15.
Quinlan, J.R.: C4.5 Programs for Machine Learning. Morgan Kaufmann, Boston (1992)
16.
Wilkinson, C.: Forensic Facial Reconstruction. Cambridge University Press, Cambridge (2004)CrossRef
17.
Wiskott, L., Fellous, J.-M., Kruger, N., von der Malsburg, C.: Face recognition by elastic bunch graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence. 19(7), 775–779 (1997)
Metadata
Title
Patterns in Images and Their Applications
Author
Apurba Das
Copyright Year
2015
Book
Guide to Signals and Patterns in Image Processing

Print ISBN: 978-3-319-14171-8

Electronic ISBN: 978-3-319-14172-5

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-14172-5_8

Premium Partner

    Image Credits