Folgen
Sylvie Chambon
Sylvie Chambon
Associate professor / Maitresse de conférences (MCF), habilitée (HDR), INP-ENSEEIHT
Bestätigte E-Mail-Adresse bei enseeiht.fr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Automatic crack detection on two-dimensional pavement images: An algorithm based on minimal path selection
R Amhaz, S Chambon, J Idier, V Baltazart
IEEE Transactions on Intelligent Transportation Systems 17 (10), 2718-2729, 2016
3782016
Automatic road pavement assessment with image processing: Review and comparison
S Chambon, JM Moliard
International Journal of Geophysics 2011, 2011
2922011
Automatic road defect detection by textural pattern recognition based on AdaBoost
A Cord, S Chambon
Computer‐Aided Civil and Infrastructure Engineering 27 (4), 244-259, 2012
1942012
Introduction of a wavelet transform based on 2D matched filter in a Markov random field for fine structure extraction: Application on road crack detection
S Chambon, P Subirats, J Dumoulin
Image Processing: Machine Vision Applications II 7251, 87-98, 2009
812009
A new minimal path selection algorithm for automatic crack detection on pavement images
R Amhaz, S Chambon, J Idier, V Baltazart
2014 IEEE International Conference on Image Processing (ICIP), 788-792, 2014
762014
Similarity measures for image matching despite occlusions in stereo vision
S Chambon, A Crouzil
Pattern Recognition 44 (9), 2063-2075, 2011
702011
Generalized thin-plate spline warps
A Bartoli, M Perriollat, S Chambon
International Journal of Computer Vision 88, 85-110, 2010
662010
Dense matching using correlation: new measures that are robust near occlusions.
S Chambon, A Crouzil
BMVC, 1-10, 2003
622003
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network
MMK Sarker, HA Rashwan, F Akram, VK Singh, SF Banu, ...
Expert Systems with Applications 183, 115433, 2021
53*2021
Does color really help in dense stereo matching
M Bleyer, S Chambon
Proceedings of the international symposium 3D data processing, visualization …, 2010
482010
Road crack extraction with adapted filtering and markov model-based segmentation-introduction and validation
S Chambon, C Gourraud, JM Moliard, P Nicolle
International Conference on Computer Vision Theory and Applications 2, 81-90, 2010
452010
Mise en correspondance stéréoscopique d'images couleur en présence d'occultations
S Chambon
Université Paul Sabatier-Toulouse III, 2005
452005
Evaluation of different methods for using colour information in global stereo matching approaches
M Bleyer, S Chambon, U Poppe, M Gelautz
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2008
372008
Toulouse campus surveillance dataset: scenarios, soundtracks, synchronized videos with overlapping and disjoint views
T Malon, G Roman-Jimenez, P Guyot, S Chambon, V Charvillat, A Crouzil, ...
Proceedings of the 9th ACM multimedia systems conference, 393-398, 2018
292018
Detection of points of interest for geodesic contours: Application on road images for crack detection
S Chambon
6th International Joint Conference on Computer Vision Theory and …, 2011
262011
Automatic detection of individual and touching moths from trap images by combining contour‐based and region‐based segmentation
MC Bakkay, S Chambon, HA Rashwan, C Lubat, S Barsotti
IET Computer Vision 12 (2), 138-145, 2018
242018
Colour correlation-based matching
S Chambon, A Crouzil
International Journal of Robotics and Automation 20 (2), 78-85, 2005
232005
Towards correlation-based matching algorithms that are robust near occlusions
S Chambon, A Crouzil
Proceedings of the 17th International Conference on Pattern Recognition …, 2004
222004
Color stereo matching using correlation measures
S Chambon, A Crouzil, TCI IRIT–Equipe
Complex Systems Intelligence and Modern Technological Applications, 520-525, 2004
212004
Multi-resolution approach for fine structure extraction: Application and validation on road images
N Coudray, A Karathanou, S Chambon
International Joint Conference on Computer Vision Theory and Applications …, 2010
202010
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20