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Researcher identifiers

  • IdHAL : wkaddah

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Number of documents

10

Wissam KADDAH

Wissam Kaddah graduated from ISEN (Institut Supérieur de l'Electronique et du Numérique) in Brest, France, in October 2014. From November 2014 to September 2015, he joined the ACTRIS Company in Brest, France, and worked with the L@bISEN Laboratory at ISEN, on a major European project for the inventory of road assets. Then, he started his Ph.D. in signal and image processing with a dissertation about automatic pavement crack detection on images, which was supported by ACTRIS. He received the Ph.D. degree from the UBO (Université de Bretagne Occidentale) in Brest, France, in December 2018. Since the beginning of 2019, he has joined the engineering school ISEN Yncréa Ouest as a lecturer-researcher. His research interest includes signal and image processing: pattern detection and recognition (faces, shapes, road signs, etc.)—segmentation of thin structures on the road (cracks, etc.).

 

Associate Professor in Signal and Image Processing

Yncréa Ouest - ISEN Brest

L@bISEN , LSL Team , ISEN , Yncréa

Journal articles5 documents

  • W Kaddah, Marwa Elbouz, Yousri Ouerhani, Ayman Alfalou, Marc Desthieux. Automatic darkest filament detection (ADFD): a new algorithm for crack extraction on two-dimensional pavement images. Visual Computer, Springer Verlag, 2020, 36 (7), pp.1369-1384. ⟨10.1007/s00371-019-01742-2⟩. ⟨hal-03045714⟩
  • W Kaddah, Marwa Elbouz, Yousri Ouerhani, Vincent Baltazart, Marc Desthieux, et al.. Optimized minimal path selection (OMPS) method for automatic and unsupervised crack segmentation within two-dimensional pavement images. Visual Computer, Springer Verlag, 2019, 35 (9), pp.1293-1309. ⟨10.1007/s00371-018-1515-9⟩. ⟨hal-03038641⟩
  • W Kaddah, Y. Ouerhani, A. Alfalou, M. Desthieux, C. Brosseau, et al.. Road marking features extraction using the VIAPIX® system. Optics Communications, Elsevier, 2016, 371, pp.117-127. ⟨10.1016/j.optcom.2016.03.065⟩. ⟨hal-03045706⟩
  • Ayman Alfalou, C. Brosseau, W. Kaddah. Optimization of decision making for face recognition based on nonlinear correlation plane. Optics Communications, Elsevier, 2015, 343, pp.22-27. ⟨10.1016/j.optcom.2015.01.017⟩. ⟨hal-01273008⟩
  • A Falou, Christian Brosseau, W Kaddah. Optimization and decision making for face recognition based on nonlinear correlation plane. Optics Communications, Elsevier, 2015, pp.22. ⟨hal-01165403⟩

Conference papers4 documents

  • Ehsan Sedgh Gooya, Ayman Al Falou, W Kaddah. Robust and discriminating face recognition system based on a neural network and correlation techniques. 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2020, Paris, France. pp.1-5, ⟨10.1109/IPTA50016.2020.9286617⟩. ⟨hal-03080488⟩
  • W Kaddah, Marwa Elbouz, Yousri Ouerhani, Ayman Alfalou, Marc Dtieux. Automatic pavement crack classification on two-dimensional VIAPIX images. Pattern Recognition and Tracking XXX, Apr 2019, Baltimore, United States. pp.7, ⟨10.1117/12.2518839⟩. ⟨hal-03045767⟩
  • Ayman Alfalou, Yousri Ouerhani, Marwa Elbouz, W Kaddah, Marc Desthieux. Road sign identification and geolocation using JTC and VIAPIX module. Pattern Recognition and Tracking XXIX, Apr 2018, Orlando, United States. pp.21, ⟨10.1117/12.2312490⟩. ⟨hal-03045748⟩
  • W Kaddah, Marwa Elbouz, Yousri Ouerhani, Ayman Alfalou, Marc Desthieux. Ongoing Studies for Automatic Road Anomalies Detection on 2D and 3D Pavement Images. The International Symposium on Optoelectronic Technology and Application (OTA), 2018, Beijing, China. ⟨hal-03055990⟩

Theses1 document

  • Wissam Kaddah. Apports de nouveaux outils de traitement d'images et de programmation pour le relevé automatique de dégradations sur chaussées. Traitement du signal et de l'image [eess.SP]. Université de Bretagne occidentale - Brest, 2018. Français. ⟨NNT : 2018BRES0102⟩. ⟨tel-02130479⟩