Robust Watermarking Method Based on the Analytical Clifford Fourier Mellin Transform

2021 ◽  
Author(s):  
Mallek MZIOU SALLAMI ◽  
Maroua AFFES ◽  
Faouzi GHORBEL
Keyword(s):  
Mellin Transform ◽  
Robust Watermarking ◽  
Fourier Mellin Transform

Image Registration Based on Pseudo-Polar FFT and Analytical Fourier-Mellin Transform

2005 ◽  
pp. 30-39
Author(s):  
Xiaoxin Guo ◽  
Zhiwen Xu ◽  
Yinan Lu ◽  
Zhanhui Liu ◽  
Yunjie Pang
Keyword(s):  
Image Registration ◽  
Mellin Transform ◽  
Fourier Mellin Transform

Unsupervised matching of visual landmarks for robotic homing using Fourier–Mellin transform

2002 ◽  
Vol 40 (2-3) ◽  
pp. 131-138 ◽  
Author(s):  
R. Cassinis ◽  
D. Duina ◽  
S. Inelli ◽  
A. Rizzi
Keyword(s):  
Mellin Transform ◽  
Visual Landmarks ◽  
Fourier Mellin Transform

Fourier-Mellin transform for Robust Image Hashing

2013 ◽  
Author(s):  
Supakorn Prungsinchai ◽  
Fouad Khelifi ◽  
Ahmed Bouridane
Keyword(s):  
Mellin Transform ◽  
Image Hashing ◽  
Robust Image ◽  
Fourier Mellin Transform ◽  
Robust Image Hashing

A MULTISCALE AND MULTIORIENTATION RECOGNITION TECHNIQUE APPLIED TO DOCUMENT INTERPRETATION: APPLICATION TO THE FRENCH TELEPHONE NETWORK MAPS

1999 ◽  
Vol 13 (08) ◽  
pp. 1201-1218 ◽  
Author(s):  
C. CARIOU ◽  
J. M. OGIER ◽  
S. ADAM ◽  
R. MULLOT ◽  
Y. LECOURTIER ◽  
...  
Keyword(s):  
Mellin Transform ◽  
Contextual Information ◽  
Classification Problem ◽  
Global Strategy ◽  
Classification Rate ◽  
Second Stage ◽  
France Télécom ◽  
Two Stages ◽  
Fourier Mellin Transform ◽  
Recognition Technique

In this paper, we propose an original methodology which allows the detection and the recognition of multioriented and multiscaled patterns. The supports on which the method is applied are technical documents representing the network of the French Telephone operator France Telecom, overlaid on urban maps. The adopted technique, based on the Fourier–Mellin transform (FMT) is integrated in a global strategy that solves ambiguous situations, through the providing of contextual information. The strategy, which is applied to solve the character and symbol classification problem, can be divided into two stages. The first one consists in constructing a set of invariant descriptors for each isolated pattern which is extracted from a characters layer given by the system approach. The second stage, based on a filtering scheme, consists in detecting and recognizing connected shapes. The results of the application of this technique are very encouraging since the classification rate reaches excellent scores in comparison with classical techniques.

New Convolution Structure of Quaternion Fractional Fourier-Mellin Transform

2017 ◽  
Author(s):  
V. D. Sharma ◽  
P. B. Deshmukh
Keyword(s):  
Mellin Transform ◽  
Convolution Structure ◽  
Fourier Mellin Transform
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