The Fractional Monogenic Signal

Author(s):  
Swanhild Bernstein
Keyword(s):  
2011 ◽  
Vol 2011 ◽  
pp. 1-14 ◽  
Author(s):  
Jinjun Li ◽  
Hong Zhao ◽  
Chengying Shi ◽  
Xiang Zhou

A stereo similarity function based on local multi-model monogenic image feature descriptors (LMFD) is proposed to match interest points and estimate disparity map for stereo images. Local multi-model monogenic image features include local orientation and instantaneous phase of the gray monogenic signal, local color phase of the color monogenic signal, and local mean colors in the multiscale color monogenic signal framework. The gray monogenic signal, which is the extension of analytic signal to gray level image using Dirac operator and Laplace equation, consists of local amplitude, local orientation, and instantaneous phase of 2D image signal. The color monogenic signal is the extension of monogenic signal to color image based on Clifford algebras. The local color phase can be estimated by computing geometric product between the color monogenic signal and a unit reference vector in RGB color space. Experiment results on the synthetic and natural stereo images show the performance of the proposed approach.


Author(s):  
Lennart Wietzke ◽  
Gerald Sommer ◽  
Christian Schmaltz ◽  
Joachim Weickert

Author(s):  
Lennart Wietzke ◽  
Gerald Sommer
Keyword(s):  

Author(s):  
Laurent Picard ◽  
Alexandre Baussard ◽  
Gilles Le Chenadec ◽  
Isabelle Quidu

Sensors ◽  
2015 ◽  
Vol 15 (12) ◽  
pp. 30340-30350 ◽  
Author(s):  
Lihong Qiao ◽  
Yao Qin ◽  
Xiaozhen Ren ◽  
Qifu Wang

Author(s):  
Sofia C. Olhede ◽  
David Ramirez ◽  
Peter J. Schreier
Keyword(s):  

2018 ◽  
Vol 54 ◽  
pp. 109-118 ◽  
Author(s):  
Narjes Benameur ◽  
Enrico Gianluca Caiani ◽  
Martino Alessandrini ◽  
Younes Arous ◽  
Nejmeddine Ben Abdallah ◽  
...  

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