Survey on Shape Description and Recognition Techniques

Authors

  • Aswathi A S  Department of Computer Science Engineering, Government Engineering College Idukki, Idukki, Kerala, India
  • Philumon Joseph  Department of Computer Science Engineering, Government Engineering College Idukki, Idukki, Kerala, India

DOI:

https://doi.org//10.32628/IJSRSET207137

Keywords:

Shape; Image retrieval; Shape descriptor; Shape recognition

Abstract

The images have to be described by certain features. The shape is an important visual feature in understanding an image, that remains stable in spite of changes in an object's illumination, color, and texture. So shape features have been applied in object recognition tasks. There are many shape description and recognition techniques in the literature. This survey paper provides an overview of description and recognition techniques and examines implementation procedures for each technique and its advantages and disadvantages. Finally, identify some techniques for image retrieval according to standard principles.

References

  1. P. Arbeláez, M. Maire, C. Fowlkes, and J. Malik, ‘‘Contour detection and hierarchical image segmentation,''IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no.5, pp. 898–916, May 2011.
  2. REN Honge, ZHONG Qiubo, KANG Junfen, "Object Recognition Algorithm Research Based on Variable Illumination”, Proceedings of the IEEE International Conference on Automation and Logistics Shenyang, 150040, China, 2009.
  3. S. Belongie, J. Malik, and J. Puzicha, ‘‘Shape matching and object recognition using shape contexts,’’ Dept. Comput. Sci. Eng., Univ. California San Diego, San Diego, CA, USA, Tech. Rep. 4, 2002.
  4. W. Wang, B. Xiong, X. Yan, Y. Jiang, and G. Kuang, ‘‘Af?ne invariant shape projection distribution for shape matching using relaxation labeling,’’ IET Comput. Vis., vol. 10, no. 2, pp. 124–133, 2016.
  5. F. Mokhtarian, S. Abbasi, and J. Kittler, ‘‘Ef?cient and robust retrieval by shape content through curvature scale space,’’ Image Databases MultiMedia, pp. 51–58, 1998.
  6. Yang Mingqiang, Kpalma Kidiyo, Ronsin Joseph, "Shape Matching and Object Recognition Using Chord Contexts” International Conference Visualisation, 2008.
  7. Rong Wang, Fanliang Bu, Hua Jin, Lihua Li, "TOE SHAPE RECOGNITION ALGORITHM BASED ON FUZZY NEURAL NETWORKS”, International Conference on Natural Computation (ICNC 2007) 102614, China, 2007.
  8. H.Lingand D.W.Jacobs,'' Shape classi?cation using the inner-distance,’’ IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 2, pp. 286–299, Feb. 2007.
  9. B.Wang, D. Brown, Y. Gao, and J. La Salle, ‘‘MARCH: Multiscale-arch height description for mobile retrieval of leaf images,’’ Inf. Sci., vol. 302, pp. 132–148, May 2015.
  10. Ehsan Moomivand, "A Modified Structural Method for Shape Recognition”, IEEE Symposium on Industrial Electronics and Applications (ISIEA2011), September 25-28, Langkawi, Malaysia2011.
  11. L.Nanni,S.Brahnam, and.Lumini,'' Local phase quantization descriptor for improving shape retrieval classi?cation,’’ Pattern Recognit. Lett., vol. 33, no. 16, pp. 2254–2260, 2012.12M. Cui, J. Femiani, J. Hu, P. Wonka, and A. Razdan, ‘‘Curve matching for open 2D curves,’’ Pattern Recognit. Lett., vol. 30, no. 1, pp. 1–10, 2009.
  12. Donggang Yu1, Jesse S. Jin1, Suhuai Luo1, Wei Lai, Mira Park1 and Tuan D. Pham”Shape Analysis and Recognition Based on Skeleton and Morphological Structure”, Seventh International Conference on Computer Graphics, Imaging and Visualization, 2010.
  13. Jon Almaz´an, Alicia Forn´ Third es, Ernest Valveny, "A Non-Rigid Feature Extraction Method for Shape Recognition”, International Conference on Document Analysis and Recognition, Spain, 2011.
  14. J. Yang, H. Wang, J. Yuan, Y. Li, and J. Liu, ''Invariant multi-scale descriptor for shape representation, matching, and retrieval,'' Comput. Vis. Image Understand., vol. 145, pp. 43–58, Apr. 2016.
  15. X. Zhang, J. Xiang, and S. Xiong, ‘‘Shape retrieval using multiscale ellipse descriptor,’’ in Proc. IEEE Int. Conf. Image Process., Sep. 2017, pp. 1042–1046.
  16. X. Wang, B. Feng, X. Bai, W. Liu, and L. J. Latecki, ''Bag of contour fragments for robust shape classi?cation, '' Pattern Recognition., vol.47, no.6, pp. 2116–2125, 2014.
  17. M. R. Daliri and V. Torre, ''Shape recognition and retrieval using a string of symbols,'' in Proc. 5th Int. Conf. Mach. Learn. Appl., Dec. 2006, pp. 101–108.
  18. Jiexian Zeng, Min Liu, Xiang Fu, Ruiyu Gu, and Lu Leng, “Curvature Bag of Words Model for Shape Recognition”, IEEE Access, 2019

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2020-02-29

Issue

Volume 7, Issue 1, January-February-2020

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Aswathi A S, Philumon Joseph, " Survey on Shape Description and Recognition Techniques, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 1, pp.229-234, January-February-2020. Available at doi : https://doi.org/10.32628/IJSRSET207137