Random Articles
Reseach Article
Fish Shape Recognition using Multiple Shape Descriptors
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 73 - Number 16 |
| Year of Publication: 2013 |
| Authors: Moumita Ghosh, Joydeep Mukherjee, Ranjan Parekh |
10.5120/12824-9937
|
Moumita Ghosh, Joydeep Mukherjee, Ranjan Parekh . Fish Shape Recognition using Multiple Shape Descriptors. International Journal of Computer Applications. 73, 16 ( July 2013), 14-19. DOI=10.5120/12824-9937
Abstract
This paper studies recognition of fish shapes using both Region based and Contour based shape based descriptors[9]. Moment Invariants are chosen as the Region based descriptor and the Simple (geometric) shape descriptors (SSD) are used as Contour based shape descriptors. The shapes are varied through scaling and rotation. Manhattan Distance is used as the classifier. The study of the recognition rate by using moment invariants and simple shape descriptors is done separately. Each moment invariant (M1 , M2 , M3 , M4 and M5) is studied separately and jointly. Then simple shape descriptors are combined with moment invariants to get hybrid feature vectors for improving recognition rate.
References
- M-K Hu, "Visual pattern recognition by moment invariants", IRE Transactions on Information Theory, 1962, pp. 179-187.
- S. Abbasi, F. Mokhtarian, J. Kittler ," Curvature scale space image in shape similarity retrieval",in Multimedia Systems 7: 467–476 (1999).
- Latecki, L. J. and Lakämper, R , 1999 Convexity rule for shape decomposition based on discrete contour evolution, Computer Vision and Image Understanding, ,73(3):441-454.
- D. Zhang and G. Lu, "Content-Based Shape Retrieval Using Different Shape Descriptors: A Comparative Study",in IEEE International Conference on Multimedia and Expo, 2001.
- D. Zhang and G. Lu," Generic Fourier Descriptor for Shape-based Image Retrieval", in International Conference on Multimedia & Expo (Volume :1) IEEE, 2002.
- D. Li & S. Simske, "Shape Retrieval Based on Distance Ratio Distribution", Technical Report, HP Laboratories, September 2002.
- Q. Chenl, E. Petriul, X. Yang'," A Comparative Study of Fourier Descriptors and Hu's Seven Moment Invariants for Image Recognition" ,in IEEE,2004.
- Zang D. , Kamel, D. M. and Baciu , "Integrated Image & Graphics Technologies", Kluwer International Series in Engineering and Computer Science, Boston Kluwer Academic Publishers, 2004.
- D. S. Zhang & G. Lu, "Review of shape representation and description techniques", Pattern Recognition, vol. 37 no. p; 1, pp. 1-19, January 2004.
- C. Shahabi , M. Safar, "An experimental study of alternative shape-based image retrieval techniques", in Springer Science + Business Media, LLC 2006
- N. Jamil, Z. Abu Bakar, & T. M. T. Sembok, "Image Retrieval of Songket Motifs using Simple Shape Descriptors", in Proceedings of the Geometric Modeling and Imaging - New Trends, pp. 171-176, 2006.
- W. Lin, N. Boston ,Y. Hu ,"Summation invariant and its applications to shape recognition", 2007.
- K. Krish_,W. Snyder ," A Shape Recognition Algorithm Robust to Occlusion: Analysis and Performance Comparison",IEEE, 2007.
- M. Sarfraz and A. Ridha, "Content-based Image Retrieval using Multiple Shape Descriptors",IEEE, 2007.
- H. Y. Kim and S. A. S. Araújo ,"Rotation, scale and Translation invariant segmentation free shape recognition", Lecture Notes in Computer Science, vol. 4872, pp. 100-113, 2007
- ShapeCN Dataset of the Scientific Computing Group,[fractal. ifsc. usp. br/dataset/ShapeCN. php]
- S. A. Araujo, and H. Y. Kim, "Rotation, scale and translation-invariant segmentation-free grayscale shape recognition using mathematical morphology," ISMM - Int. Symp. Mathematical Morphology, 2007.
- Jan Flusser, Tomáš Suk and Barbara Zitová,"Moments and Moment Invariants in Pattern Recognition", 2009 John Wiley & Sons, Ltd. ISBN: 978-0-470-69987-4.
- J. Chaki and R. Parekh,"Plant leaf recognition using shape based features and neural netwok classifiers",in IJACSA,vol. 2, No. 10,2011.
- S. Garg and G. S. Sekhon, "Shape Recognition Techniques: A Selected Review", in International Journal of Engineering Research & Technology (IJERT) Vol. 1 Issue 4, ISSN: 2278-0181,2012
- W. Lu," Method for Image Shape Recognition with Neural Network" , D. Jin and S. Lin (Eds. ): Advances in CSIE, Vol. 2, AISC 169, pp. 547–55,2012.
- D. Chaudhuri, " Global Contour and Region Based Shape Analysis and Similarity Measures",in Defence Science Journal, Vol. 63, No. 1, January 2013, pp. 74-88.
- Wirth, M. A. Image processing algorithms and applications. Lecture Notes. Dept. of Computing and Informaton Science, University of Guelph, Ontario. url:
Index Terms
Keywords