Abstract
The acquired images often provide a degraded version of the true scene due to the imperfect imaging devices or imaging conditions. Therefore recognition of blurred images has become a key task in pattern recognition and moment invariant-based methods play an important role in this field. In this paper, we construct a new set of invariants using Pseudo-Zernike moments which are invariant to convolution with circularly symmetric point spread function (PSF). The experimental results show that proposed invariants have better performance in terms of invariance and robustness to noise with the comparison to the blur invariants derived from Zernike moments whatever the PSF and noise.
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References
Flusser, J., Suk, T.: Degraded image analysis: an invariant approach. IEEE Trans. Pattern Anal. Mach. Intell. 20, 590–603 (1998)
Flusser, J., Zitova, B., Suk, T.: Invariant-based registration of rotated and blurred images. In: IEEE International Proceeding on Geoscience and Remote Sensing Symposium, pp. 1262–1264. IEEE Press, New York (1999)
Flusser, J., Boldyš, J., Zitova, B.: Moment forms invariant to rotation and blur in arbitrary number of dimensions. IEEE Trans. Pattern Anal. Mach. Intell. 13, 1123–1136 (2003)
Suk, T., Flusser, J.: Combined blur and affine moment invariants and their use in pattern recognition. Pattern Recogn. 36, 2895–2907 (2003)
Zhang, Y., Wen, C., Zhang, Y., Soh, Y.C.: Determination of blur and affine combined invariants by normalization. Pattern Recogn. 35, 211–221 (2002)
Coatrieux, J.L.: Moment-based approaches in imaging part 2: invariance. IEEE Engineering in Medicine and Biology Magazine 27, 81–83 (2008)
Zhu, H., Liu, M.: Combined invariants to blur and rotation using Zernike moment descriptors. Pattern Anal. Appl. 13, 309–319 (2010)
Zhang, H., Shu, H., Han, G.N., Coatrieux, G., Luo, L., Coatrieux, J.L.: Blurred image recognition by Legendre moment invariants. IEEE Trans. Image Process. 19, 596–611 (2010)
Chen, B.J., Shu, H.Z., Zhang, H., Chen, G., Toumoulin, C., Dillenseger, J.L., Luo, L.M.: Combined invariants to similarity transformation and to blur using orthogonal Zernike moments. IEEE Trans. Image Process. 20, 345–360 (2011)
Zhang, H., Dong, Z.F., Shu, H.: Object recognition by a complete set of pseudo-Zernike moment invariants. In: 35th IEEE International Conference on Acoustics Speech and Signal Processing, pp. 930–933. IEEE Press, New York (2010)
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Dai, X., Liu, T., Shu, H., Luo, L. (2013). Pseudo-Zernike Moment Invariants to Blur Degradation and Their Use in Image Recognition. In: Yang, J., Fang, F., Sun, C. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2012. Lecture Notes in Computer Science, vol 7751. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36669-7_12
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DOI: https://doi.org/10.1007/978-3-642-36669-7_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36668-0
Online ISBN: 978-3-642-36669-7
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