CFP last date
20 June 2024
Reseach Article

Multi-Label Classification of a Scene Image using Fuzzy Logic

Published on March 2017 by Janhavi Shirke, N. M. Shahane
Emerging Trends in Computing
Foundation of Computer Science USA
ETC2016 - Number 2
March 2017
Authors: Janhavi Shirke, N. M. Shahane

Janhavi Shirke, N. M. Shahane . Multi-Label Classification of a Scene Image using Fuzzy Logic. Emerging Trends in Computing. ETC2016, 2 (March 2017), 4-10.

author = { Janhavi Shirke, N. M. Shahane },
title = { Multi-Label Classification of a Scene Image using Fuzzy Logic },
journal = { Emerging Trends in Computing },
issue_date = { March 2017 },
volume = { ETC2016 },
number = { 2 },
month = { March },
year = { 2017 },
issn = 0975-8887,
pages = { 4-10 },
numpages = 7,
url = { /proceedings/etc2016/number2/27307-6260/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Proceeding Article
%1 Emerging Trends in Computing
%A Janhavi Shirke
%A N. M. Shahane
%T Multi-Label Classification of a Scene Image using Fuzzy Logic
%J Emerging Trends in Computing
%@ 0975-8887
%V ETC2016
%N 2
%P 4-10
%D 2017
%I International Journal of Computer Applications

A natural scene image contains object categories which form ambiguous boundaries. Measuring this ambiguitywhile classifying an image, is a challenging task. A scene image belongs to multiple categories at a time which makes a task of classification multi label one. Binary classification fails to capture this ambiguity while classifying the scene image into one of mutually exclusive classes. This problem can be handled by applying fuzzy logic with non-mutually exclusive class categories. This project work provides a ranking based on class membership instead of binary classification.

  1. Alex P. Pentland, "Fractal-Based Description Of Natural Scenes", IEEE Transactions On Pattern Analysis And Machine Intelligence, Vol. Pami-6, No. 6, pp. 661-674, November 1984.
  2. G. Lemaitre and M. Rodojevi, "Texture segmentation: Cooccurrence matrix and Laws' texture masks methods", pp. 1-34.
  3. B. S. Manjunathi and W. Y. Ma, "Texture Features for Browsing and Retrieval of Image Data", IEEE transactions on pattern analysis and machine intelligence, vol. 18, no. 8, pp. 837-842, august 1996.
  4. S. E. Grigorescu, N. Petkov, and P. Kruizinga , "A comparative study of filter based texture operators using Mahalanobis Distance", 0-7695-0750-6/00, IEEE, pp. 1-4, 2000.
  5. M. Tuceryan and Jain , "Texture Analysis", ResearchGate Article, pp. 1-42, September 2000.
  6. M. Lindenbaum and R. Sandler, "Gabor Filter Analysis for Texture Segmentation", pp. 1-58, May 2005.
  7. J. Ilonen, J. -K. Kamarainen, H. Kalviainen, "Efficient computation of Gabor features", pp. 1-29, 2005.
  8. Y. Alqasrawi, D. Neagu and P. I. Cowling, "Fusing integrated visual vocabularies-based bag of visual words and weighted colour moments on spatial pyramid layout for natural scene image classification", research gate article in signal image and video processing, pp. 1-25, July 2011.
  9. G. Madjarov, DragiKocev, DejanGjorgjevikj and S. Dzeroski, "An extensive experimental comparison of methods for multi-label learning" , Elsevier publication on Pattern Recognition, pp. 3084-3104, 2012.
  10. M. Pagola, C. Lopez-Molina, "Interval Type-2 Fuzzy Sets Constructed From Several Membership Functions: Application to the Fuzzy Thresholding Algorithm", IEEE transactions on fuzzy systems, vol. 21, no. 2, pp. 230-244, April 2013.
  11. Min-Ling Zhang and Zhi-Hua Zhou, "A Review on Multi-Label Learning Algorithms", IEEE transactions on knowledge and data engineering, vol. 26, no. 8, pp. 1819-1837, august 2014.
  12. J. Wu1, V. Sheng2, J. Zhang3, Peng peng Zhao1, Z. Cui, "Multilabel Active Learning for Image Classification", ICIP, pp. 1-5, 2014.
  13. L. Jing and M. K. Ng , "Sparse Label-Indicator Optimization Methods for Image Classification", IEEE transactions on image processing, vol. 23, no. 3, pp. 1002-1014, march 2014.
  14. M. Celuszak and D. Jabry, "ESGI100: Gabor Filter Selection and Computational Processing for Emotion Recognition", pp. 1-23, 18 may 2014.
  15. C. H. Lim, A. Risnumawan, and C. S. Chan, "A Scene Image is Nonmutually Exclusive-A Fuzzy Qualitative Scene Understanding", IEEE transactions on fuzzy systems, vol. 22, no. 6, pp. 1541-1556, December 2014.
  16. R. Cabral, Fernando De la Torre, J. Costeira, and A. Bernardino, "Matrix Completion for Weakly-Supervised Multi-Label Image Classification", IEEE transactions on pattern analysis and machine intelligence, vol. 37, no. 1, pp. 121-135, january 2015.
  17. Y. Dong, D. Tao, and X. Li, "Nonnegative Multi-resolutionRepresentation-Based Texture Image Classification", ACM Transactions on Intelligent Systems and Technology, Vo. 7, No. 1, Article 4, pp. 1-21, September 2015.
  18. Janhavi Shirke and N. M. Shahane, "Qualitative understanding of a scene image", cPGCON 2016, pp. 1-6.
  19. George J. Klir, Bo Yuan, 'Fuzzy Sets And Fuzzy Logic: Theory and Applications', PHI Learning private limited.
  20. Richard O. Duda, Peter Hart and David Stork, 'Pattern Classification', Wiley India Pvt. Ltd.
Index Terms

Computer Science
Information Sciences


Fuzzy Logic Binary Classification Ranking