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Reseach Article

Object Recognition using Disk based Morphological Shape Decomposition Features

by G. Rama Mohan Babu, B. Raveendra Babu, A. Srikrishna, N. Venkateswara Rao
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 2
Year of Publication: 2013
Authors: G. Rama Mohan Babu, B. Raveendra Babu, A. Srikrishna, N. Venkateswara Rao
10.5120/12714-9528

G. Rama Mohan Babu, B. Raveendra Babu, A. Srikrishna, N. Venkateswara Rao . Object Recognition using Disk based Morphological Shape Decomposition Features. International Journal of Computer Applications. 73, 2 ( July 2013), 29-33. DOI=10.5120/12714-9528

@article{ 10.5120/12714-9528,
author = { G. Rama Mohan Babu, B. Raveendra Babu, A. Srikrishna, N. Venkateswara Rao },
title = { Object Recognition using Disk based Morphological Shape Decomposition Features },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 2 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number2/12714-9528/ },
doi = { 10.5120/12714-9528 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:38:58.869151+05:30
%A G. Rama Mohan Babu
%A B. Raveendra Babu
%A A. Srikrishna
%A N. Venkateswara Rao
%T Object Recognition using Disk based Morphological Shape Decomposition Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 2
%P 29-33
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The ability of object recognition system is to recognize a large number of objects constrained by a variety of factors such as the selection of a feature extraction method, quality of the images, and the classification models. This paper presents an approach to the recognition of complex shape objects using shape representation features. The shape representation features are the disk components which are calculated from morphological shape decomposition technique. The disk components of the shapes are generated using disk component generation Algorithm. These disk components are more primitive and easily matched with other disk components that are from another shape. These features are tested using the Quadratic classifier on different shapes. It is observed that the classifier gives good accuracy.

References
  1. J. Eggermont, A. E. Eiben, and J. I. van Hemert, "A comparison of genetic programming variants for data classification," in Proc. 3rdSymp. IDA, 1999, Lecture Notes in Computer Science, vol. 1642, pp. 281–290.
  2. D. Howard, S. C. Roberts, and C. Ryan, "The Boru data crawler for object detection tasks in machine vision," in Proc. Appl. Evol. Comput. , EvoWorkshops: EvoCOP, EvoIASP, EvoSTim, S. Cagnoni, J. Gottlieb, E. Hart,M. Middendorf, and G. Raidl, Eds. , Apr. 3/4, 2002, Lecture Notes in Computer Science, vol. 2279, pp. 220–230.
  3. H. F. Gray, R. J. Maxwell, I. Martinez-Perez, C. Arus, and S. Cerdan, "Genetic programming for classification of brain tumours from nuclear magnetic resonance biopsy spectra," in Proc. 1st Annu. Conf. Genetic Program. , J. R. Koza, D. E. Goldberg, D. B. Fogel, and R. L. Riolo, Eds. , Jul. 28–31, 1996, p. 424.
  4. D. Valentin, H. Abdi, and A. J. O'Toole, "Categorization and identification of human face images by neural networks: A review of linear autoassociator and principal component approaches," J. Biol. Syst. , vol. 2, no. 3, pp. 413–429, 1994.
  5. R. Poli, "Genetic programming for image analysis," in Proc. 1st Annu. Conf. Genetic Program. , J. R. Kosa, D. E. Goldberg, D. B. Fogel, and R. L. Riolo, Eds. , Jul. 28–31, 1996, pp. 363–368.
  6. J. Serra, Image Analysis and Mathematical Morphology. London, U. K. : Academic, 1982.
  7. R. M. Haralick, S. R. Sternberg, and X. Zhuang, "Image analysis using mathematical morphology," IEEE Trans. Pattern Anal. Mach. Intell. , vol. 9, no. 4, pp. 532–550, Apr. 1987.
  8. P. A. Maragos and R. W. Schafer, "Morphological skeleton representation and coding of binary images," IEEE Trans. Acoust. Speech Signal Process. , vol. ASSP-34, no. 5, pp. 1228–1244, Oct. 1986.
  9. I. Pitas and A. N. Venetsanopoulos, "Morphological shape decomposition," IEEE Trans. Pattern Anal. Mach. Intell. , vol. 12, no. 1, pp. 38–45, Jan. 1990.
  10. J. M. Reinhardt and W. E. Higgins, "Comparison between the morphological skeleton and morphological shape decomposition," IEEE Trans. Pattern Anal. Mach. Intell. , vol. 18, no. 9, pp. 951–957, Sep. 1996.
  11. P. Maragos, "Morphology-based symbolic image modeling, multi-scale nonlinear smoothing, and pattern spectrum," in Proc. IEEE Comput. Soc. Conf. Computer Vision Pattern Recognition, 1988, pp. 766–773.
  12. I. Pitas and A. N. Venetsanopoulos, "Morphological shape representation," Pattern Recognit. , vol. 25, no. 6, pp. 555–565, 1992.
  13. J. M. Reinhardt and W. E. Higgins, "Efficient morphological shape representation," IEEE Trans. Image Process. , vol. 5, no. 6, pp. 89–101, Jun. 1996.
  14. J. Xu, "Morphological decomposition of 2-D binary shapes into conditionally maximal convex polygons," Pattern Recognition. , vol. 29, no. 7, pp. 1075–1104, 1996.
  15. J. Xu, "Morphological representation of 2-D binary shapes using rectangular components," Pattern Recognition, vol. 34, no. 2, pp. 277–286, 2001.
  16. J. Xu, "Morphological decomposition of 2-D binary shapes into convex polygons: A heuristic algorithm," IEEE Trans. Image Process. , vol. 10, no. 1, pp. 61–71, Jan. 2001.
  17. J. Xu, "Efficient morphological shape representation with overlapping disk components," IEEE Trans. Image Process. , vol. 10, no. 9, pp. 1346–1356, Sep. 2001.
  18. J. Xu, "A generalized discrete morphological skeleton transform with multiple structuring elements for the extraction of structural shape components," IEEE Trans. Image Process. , vol. 12, no. 12, pp. 1677–1686, Dec. 2003.
  19. J. Xu, "Efficient morphological shape representation by varying overlapping levels among representative disks," Pattern Recognition. , vol. 36, no. 2, pp. 429–437, 2003.
  20. Held and K. Abe, "On the decomposition of binary shapes into meaningful parts," Pattern Recognition. , vol. 27, no. 5, pp. 637–647, 1994.
  21. Ronse and B. Macq, "Morphological shape and region description," Signal Process. , vol. 25, pp. 91–106, 1991.
  22. J. Goutsias and D. Schonfeld, "Morphological representation of discrete and binary images," IEEE Trans. Signal Process. , vol. 39, no. 6, pp. 1369–1379, Jun. 1991.
  23. J. Xu, "Morphological decomposition of 2-D binary shapes into modestly Overlapped Octagonal and Disk Componenet," IEEE Trans. On Image Processing, vol. 16, no. 2, pp. 337–348, Feb. 2007.
  24. Cheng-Lin Liu, Sako H, and Fujisawa H, "Discriminative Learning Quadratic Discriminant Function for Handwriting Recognition", IEEE Transaction on Neural networks, Vol. 15, No. 2, pp. 430-444, 2004.
  25. G. Rama Mohan Babu, et. al, "An Error Free Compression Algorithm using Morphological Decomposition", IEEE Int. Conf. on RACSS-2012, pp. 33-36, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Mathematical morphology Shape decomposition Disk components Feature vector Object recognition and Classification