C
Christine Fernandez-Maloigne
Researcher at University of Poitiers
Publications - 213
Citations - 1431
Christine Fernandez-Maloigne is an academic researcher from University of Poitiers. The author has contributed to research in topics: Color image & Image quality. The author has an hindex of 16, co-authored 208 publications receiving 1215 citations. Previous affiliations of Christine Fernandez-Maloigne include Centre national de la recherche scientifique & University of La Rochelle.
Papers
More filters
Journal ArticleDOI
A Bandelet-Based Inpainting Technique for Clouds Removal From Remotely Sensed Images
TL;DR: An efficient inpainting technique for the reconstruction of areas obscured by clouds or cloud shadows in remotely sensed images is presented, based on the Bandelet transform and the multiscale geometrical grouping.
Journal ArticleDOI
Evidential segmentation scheme of multi-echo MR images for the detection of brain tumors using neighborhood information
TL;DR: An evidential segmentation scheme of multi-echo MR images for the detection of brain tumors is proposed and it is shown that the modeling by means of evidence theory is well suited to the processing of redundant and complementary data as the MR images.
Journal ArticleDOI
Spatial and spectral quaternionic approaches for colour images
TL;DR: This paper defines the conditions on the spectrum coefficients needed to reconstruct a colour image without loss of information through the inverse quaternionic Fourier transform process and defines spatial and frequential strategies to filter colour images.
Journal ArticleDOI
Choice of a pertinent color space for color texture characterization using parametric spectral analysis
Imtnan-Ul-Haque Qazi,Olivier Alata,Jean-Christophe Burie,Ahmed Moussa,Christine Fernandez-Maloigne +4 more
TL;DR: A comparison of different color spaces including RGB, IHLS and [email protected]?a*b* for color texture characterization is presented and experimental results on pixel classification of color textures are presented and discussed.
Journal ArticleDOI
Recent advances in medical image processing for the evaluation of chronic kidney disease.
Israa Alnazer,Israa Alnazer,Israa Alnazer,Pascal Bourdon,Thierry Urruty,Omar Falou,Mohamad Khalil,Ahmad Shahin,Christine Fernandez-Maloigne +8 more
TL;DR: In this paper, the authors proposed a survey that covers both qualitative and quantitative analysis applied to novel medical imaging techniques to monitor the decline of renal function, and discussed how texture analysis and machine learning techniques have emerged in recent clinical researches in order to improve renal dysfunction monitoring and prediction.