Abstract
This work presents a study on object recognition of isolated objects. Fourier descriptors have been used as features of the outlines of the objects under discussion. The problem of selecting the best descriptors has been formulated as an optimization problem and solved using Evolution.
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References
Granlund, G.H.: Fourier Preprocessing for hand print character recognition. IEEE Trans. Computers C-21, 195–201 (1972)
Betrand, O., Queval, R., Maître, H.: Shape Interpolation by Fourier Descriptors with Application to Animation Graphics. Signal Processing 4, 53–58 (1981)
Zahn, C.T., Rhoskies, R.Z.: Fourier descriptors for plane closed curves. IEEE trans. Compu. 21, 269–281 (1972)
Bernier, T., Landry, J.-A.: A new method for representing and matching shapes of natural objects. Pattern Recognition 36, 1711–1723 (2003)
Zhang, J., Zhang, X., Krim, H., Walter, G.G.: Object representation and recognition in shape spaces. Pattern Recognition 36(5), 1143–1154 (2003)
Sarfraz, M., Al-Awami, A.T.A.: Object Recognition using Particle Swarm Optimization on Fourier Descriptors. In: Saad, A., Avineri, E., Dahal, K., Sarfraz, M., Roy, R. (eds.) Soft Computing in Industrial Applications: Recent and Emerging Methods and Techniques. Advances in Soft Computing, vol. 39, pp. 19–29. Springer, Heidelberg (2007)
Sarfraz, M.: Object Recognition using Fourier Descriptors: Some Experiments and Observations. In: Banissi, E., Sarfraz, M., Huang, M.L., Wu, Q. (eds.) Computer Graphics, Imaging and Visualization – Techniques and Applications, pp. 281–286. IEEE Computer Society, USA (2006), ISBN: 0-7695-2606-3
Sarfraz, M.: Object Recognition using Moments: Some Experiments and Observations. In: Sarfraz, M., Banissi, E. (eds.) Geometric Modeling and Imaging – New Advances, pp. 189–194. IEEE Computer Society, USA (2006)
Gorman, J.W., Mitchell, O.R., Kuhl, F.P.: Partial shape recognition using dynamic programming. IEEE Transactions on pattern analysis and machine intelligence 10(2) (March 1988)
Gonzalez, R., Woods, R., Eddins, S.: Digital Image Processing Using Matlab. Prentice-Hall, Englewood Cliffs (2003)
Avrahami, G., Pratt, V.: Sub-pixel edge detection in character digitization. Raster Imaging and Digital Typography II, pp. 54–64 (1991)
Hou, Z.J., Wei, G.W.: A new approach to edge detection. Pattern Recognition 35, 1559–1570 (2002)
Sait, M.S., Youssef, H.: Iterative Computer Algorithms with Applications in Engineering: Solving Combinatorial Optimization Problems. IEEE Computer Society Press, California (1999)
Masood, A., Sarfraz, M.: Capturing Outlines of 2D Objects with Bézier Cubic Approximation. International Journal of Image and Vision Computing 27(6), 704–712 (2009)
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Sarfraz, M., Arshed, J.U., Madani, S.A., Iqbal, M. (2010). Object Recognition Using Simulated Evolution on Fourier Descriptors. In: Gao, XZ., Gaspar-Cunha, A., Köppen, M., Schaefer, G., Wang, J. (eds) Soft Computing in Industrial Applications. Advances in Intelligent and Soft Computing, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11282-9_22
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DOI: https://doi.org/10.1007/978-3-642-11282-9_22
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