Combined invariants to similarity transformation and to blur using orthogonal Zernike moments.

Chen Beijing; Huazhong Shu; Hui Zhang; Gouenou Coatrieux; Limin Luo; Jean-Louis Coatrieux

doi:10.1109/TIP.2010.2062195

Combined invariants to similarity transformation and to blur using orthogonal Zernike moments.

Chen Beijing ^{1, 2} Huazhong Shu ^{1, 2, *} Hui Zhang ^{1, 2} Gouenou Coatrieux ^{3, 4} Limin Luo ^{1, 2, *} Jean-Louis Coatrieux ^{1, 5, *}

* Auteur correspondant

1 CRIBS - Centre de Recherche en Information Biomédicale sino-français

2 LIST - Laboratory of Image Science and Technology [Nanjing]

3 ITI - Département Image et Traitement Information

4 LaTIM - Laboratoire de Traitement de l'Information Medicale

5 LTSI - Laboratoire Traitement du Signal et de l'Image

Abstract : The derivation of moment invariants has been extensively investigated in the past decades. In this paper, we construct a set of invariants derived from Zernike moments which is simultaneously invariant to similarity transformation and to convolution with circularly symmetric point spread function (PSF). Two main contributions are provided: the theoretical framework for deriving the Zernike moments of a blurred image and the way to construct the combined geometric-blur invariants. The performance of the proposed descriptors is evaluated with various PSFs and similarity transformations. The comparison of the proposed method with the existing ones is also provided in terms of pattern recognition accuracy, template matching and robustness to noise. Experimental results show that the proposed descriptors perform on the overall better.

Keywords : template matching Zernike moments circularly symmetric blur combined invariants pattern recognition template matching.

Type de document :

Article dans une revue

IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2011, 20 (2), pp.345-60. 〈10.1109/TIP.2010.2062195〉

Domaine :

Sciences du Vivant [q-bio] / Ingénierie biomédicale

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Combined invariants to similarity transformation and to blur using orthogonal Zernike moments.

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Combined invariants to similarity transformation and to blur using orthogonal Zernike moments.

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