scholarly journals MToS: A Tree of Shapes for Multivariate Images

2015 ◽  
Vol 24 (12) ◽  
pp. 5330-5342 ◽  
Author(s):  
Edwin Carlinet ◽  
Thierry Geraud
Keyword(s):  
Multivariate Images ◽  
Tree Of Shapes

A new procedure for the modelling and representation of classes in multivariate images

2005 ◽  
Vol 75 (2) ◽  
pp. 115-126 ◽  
Author(s):  
J.C. Noordam ◽  
W.H.A.M. van den Broek ◽  
P. Geladi ◽  
L.M.C. Buydens
Keyword(s):  
Multivariate Images

Principal component analysis of multivariate images

1989 ◽  
Vol 5 (3) ◽  
pp. 209-220 ◽  
Author(s):  
Paul Geladi ◽  
Hans Isaksson ◽  
Lennart Lindqvist ◽  
Svante Wold ◽  
Kim Esbensen
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Multivariate Images

scholarly journals MULTIVARIATE MATHEMATICAL MORPHOLOGY FOR DCE-MRI IMAGE ANALYSIS IN ANGIOGENESIS STUDIES

2014 ◽  
Vol 34 (1) ◽  
pp. 1 ◽  
Author(s):  
Guillaume Noyel ◽  
Jesus Angulo ◽  
Dominique Jeulin ◽  
Daniel Balvay ◽  
Charles-André Cuenod
Keyword(s):  
Noise Reduction ◽  
Data Sets ◽  
Computer Aided Detection ◽  
Segmentation Method ◽  
Temporal Segmentation ◽  
Dce Mri ◽  
Contrast Enhanced ◽  
Key Points ◽  
Multivariate Images ◽  
Spatio Temporal

We propose a new computer aided detection framework for tumours acquired on DCE-MRI (Dynamic Contrast Enhanced Magnetic Resonance Imaging) series on small animals. To perform this approach, we consider DCE-MRI series as multivariate images. A full multivariate segmentation method based on dimensionality reduction, noise filtering, supervised classification and stochastic watershed is explained and tested on several data sets. The two main key-points introduced in this paper are noise reduction preserving contours and spatio temporal segmentation by stochastic watershed. Noise reduction is performed in a special way to select factorial axes of Factor Correspondence Analysis in order to preserves contours. Then a spatio-temporal approach based on stochastic watershed is used to segment tumours. The results obtained are in accordance with the diagnosis of the medical doctors.

scholarly journals Full-Vector Gradient for Multi-Spectral or Multivariate Images

2019 ◽  
Vol 28 (5) ◽  
pp. 2228-2241 ◽  
Author(s):  
Hermine Chatoux ◽  
Noel Richard ◽  
Francois Lecellier ◽  
Christine Fernandez-Maloigne
Keyword(s):  
Multivariate Images ◽  
Full Vector

Color and Multivariate Images

2013 ◽  
pp. 291-321
Author(s):  
Jesus Angulo ◽  
Jocelyn Chanussot
Keyword(s):  
Multivariate Images
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