.::. Big Data Analytics for Image Processing .::.

  • Image Classification
  • Image Restoration
  • Pattern Recognition
  • Applied Machine Learning


At Blekinge Institute of Technology (BTH), I am participating, research-wise, in a large research project, "Scalable resource-efficient systems for big data analytics," where close research collaboration with industry is key for the project execution. I invest my expertise in image processing into rather a larger project that focuses on Big Data. More specifically, I am leading research theme B: Big data analytics for image processing. The research profile, Scalable resource-efficient systems for big data analytics, combines existing expertise in machine learning, data mining, and computer engineering to create new knowledge in the area of scalable resource-efficient systems for big data analytics. The value of the new knowledge is demonstrated and evaluated in two application areas (decision support systems and image processing)..

View my other profiles »

Senaste publikationer

  1. Wu Qian and Abbas Cheddad,"Segmentation-based Deep Learning Fundus Image Analysis," Accepted for oral presentation at the 9th International Conference on Image Processing Theory, Tools and Applications IPTA 2019. Nov 6-9, 2019, Istanbul, Turkey. http://www.ipta-conference.com/ipta19/
  2. Huseyin Kusetogullari, Amir Yavariabdi, Abbas Cheddad, Håkan Grahn and Johan Hall, 2019, "ARDIS: A Swedish Historical Handwritten Digit Dataset," Neural Computing and Applications, Springer. Vol(#) issue(#).
  3. Siva Krishna Dasari, Abbas Cheddad and Petter Andersson, (2019) "Random Forest Surrogate Models to Support Design Space Exploration in Aerospace Use-case." 15th International Conference on Artificial Intelligence Applications and Innovations (AIAI'19). 24-26 May 2019, Crete, Greece. Springer IFIP AICT (LNCS) Series.
  4. Rafik Bouhennache, Toufik Bouden, Abdmalik Taleb-Ahmed and Abbas Cheddad, (2018). "A new spectral index for the extraction of built-up land features from Landsat 8 satellite imagery." Geocarto International, Taylor & Francis. https://doi.org/10.1080/10106049.2018.1497094.
  5. Ola Spjuth, Andreas Karlsson, Mark Clements, Keith Humphreys, Emma Ivansson, Jim Dowling, Martin Eklund, Alexandra Jauhiainen, Kamila Czene, Henrik Gronberg, Par Sparen, Fredrik Wiklund, Abbas Cheddad, porgerour Palsdottir, Mattias Rantalainen, Linda Abrahamsson, Erwin Laure, Jan-Eric Litton, and Juni Palmgren. "E-Science technologies in a workflow for personalized medicine using cancer screening as a case study." Journal of the American Medical Informatics Association, 24(5): 950-957, 2017. doi: 10.1093/jamia/ocx038. Oxford University Press. PMID: 28444384. Impact Factor: 3.428.
  6. Cheddad A. "Structure Preserving Binary Image Morphing using Delaunay Triangulation." Pattern Recognition Letters, (2017) 85, pp. 8-14. Elsevier. An official publication of the International Association for Pattern Recognition.
  7. Abbas Cheddad, Huseyin Kusetogullari and Hakan Grahn, (2017). "Object Recognition using Shape Growth Pattern," 10th International Symposium on Image and Signal Processing and Analysis (ISPA 2017). 18-20th September 2017, pp.47-52, Ljubljana, Slovenia.
  8. V. M Devagiri and A. Cheddad. "Splicing Forgery Detection and the Impact of Image Resolution," 5th International Workshop on Systems Safety and Security (IWSSS 2017). Targoviste, Romania, 29-30 June 2017.
  9. Cheddad, A. "Towards Query by Text Example for Pattern Spotting in Historical Documents." 7th International Conference on Computer Science and Information Technology (CSIT 16), July 13-14, 2016, IEEE Computer Society.