Details

Autor(en) / Beteiligte

• Pew-Thian Yap
• Xudong Jiang
• Kot, Alex Chichung

Titel

Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation

Ist Teil von

• IEEE transactions on pattern analysis and machine intelligence, 2010-07, Vol.32 (7), p.1259-1270

Ort / Verlag

Los Alamitos, CA: IEEE

Erscheinungsjahr

2010

Link zum Volltext

• Volltext

Quelle

IEEE Xplore

Beschreibungen/Notizen

• 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.