Stereo Analysis of Archaelogical Scenes Using Monogenic Signal Representation

2010 ◽  
pp. 133-145
Author(s):  
Manthos Alifragis ◽  
Costas S. Tzafestas
Keyword(s):  
Signal Representation ◽  
Monogenic Signal ◽  
Stereo Analysis

Multiscale stereo analysis based on local-color-phase congruency in the color monogenic signal framework

2010 ◽  
Vol 35 (13) ◽  
pp. 2272 ◽  
Author(s):  
Jinjun Li ◽  
Hong Zhao ◽  
Kejian Jiang ◽  
Xiang Zhou ◽  
Xingmin Tong
Keyword(s):  
Phase Congruency ◽  
Monogenic Signal ◽  
Local Color ◽  
Stereo Analysis

Intrusion detection on oil pipeline right of way using monogenic signal representation

2013 ◽  
Author(s):  
Binu M. Nair ◽  
Varun Santhaseelan ◽  
Chen Cui ◽  
Vijayan K. Asari
Keyword(s):  
Intrusion Detection ◽  
Signal Representation ◽  
Monogenic Signal ◽  
Oil Pipeline ◽  
Right Of Way

A new image retrieval model based on monogenic signal representation

2015 ◽  
Vol 33 ◽  
pp. 85-93 ◽  
Author(s):  
Zhiyong Zeng ◽  
Liwei Song ◽  
Qicai Zheng ◽  
Yanling Chi
Keyword(s):  
Image Retrieval ◽  
Retrieval Model ◽  
Signal Representation ◽  
Monogenic Signal ◽  
Model Based

scholarly journals A New Signal Representation Using Complex Conjugate Pair Sums

2019 ◽  
Vol 26 (2) ◽  
pp. 252-256 ◽  
Author(s):  
Basheeruddin Shah Shaik ◽  
Vijay Kumar Chakka ◽  
Arikatla Satyanarayana Reddy
Keyword(s):  
Complex Conjugate ◽  
Signal Representation ◽  
Conjugate Pair ◽  
Complex Conjugate Pair

scholarly journals A Multi-Model Stereo Similarity Function Based on Monogenic Signal Analysis in Poisson Scale Space

2011 ◽  
Vol 2011 ◽  
pp. 1-14 ◽  
Author(s):  
Jinjun Li ◽  
Hong Zhao ◽  
Chengying Shi ◽  
Xiang Zhou
Keyword(s):  
Color Image ◽  
Image Features ◽  
Image Feature ◽  
Similarity Function ◽  
Local Orientation ◽  
Stereo Images ◽  
Interest Points ◽  
Monogenic Signal ◽  
Local Color ◽  
Instantaneous Phase

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.

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