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PAMI
2010

Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation

8 years 4 days ago
Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation
This paper introduces a set of 2D transforms, based on a set of orthogonal projection bases, to generate a set of features which are invariant to rotation. We call these transforms Polar Harmonic Transforms (PHTs). Unlike the well-known Zernike and pseudo-Zernike moments, the kernel computation of PHTs is extremely simple and has no numerical stability issue whatsoever. This implies that PHTs encompass the orthogonality and invariance advantages of Zernike and pseudo-Zernike moments, but are free from their inherent limitations. This also means that PHTs are well suited for application where maximal discriminant information is needed. Furthermore, PHTs make available a large set of features for further feature selection in the process of seeking for the best discriminative or representative features for a particular application.
Pew-Thian Yap, Xudong Jiang, Alex ChiChung Kot
Added 20 May 2011
Updated 20 May 2011
Type Journal
Year 2010
Where PAMI
Authors Pew-Thian Yap, Xudong Jiang, Alex ChiChung Kot
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