Robust Image Processing
A special issue of Journal of Imaging (ISSN 2313-433X).
Deadline for manuscript submissions: closed (31 August 2020) | Viewed by 17648
Interests: medical and biomedical image analysis; robustness for image processing; computer vision; machine learning; discrete mathematical models (geometry, topology, morphology); benchmarking and evaluation
Special Issues, Collections and Topics in MDPI journals
Robustness is an important concern in machine learning, pattern recognition, and image processing, and it has attracted a lot of attention from technical and scientific viewpoints in the literature, in particular, robustness models the capacity of a computerized approach to resist perturbing phenomena and data uncertainties, such as inherent image noise, which generates a common artefact while designing algorithms. Further, the evaluation of this robustness is a crucial matter in machine learning and computer vision, more increasingly so with the emergence of deep learning algorithms and big data. This matter has been dealt with for a long time, since the introduction of robust statistical models and tools.
This Special Issue on “Robust Image Processing” aims at presenting novel robust approaches devoted to image processing, pattern recognition or machine learning. This is also the opportunity to address the question of the definition and evaluation of robustness, according to noise and other uncertainties models related to these topics.
Prof. Antoine Vacavant
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Novel robust approaches in image processing, machine learning, pattern recognition, and computer vision
- Definition and evaluation of robustness
- Benchmarking, large scale image data analysis
- Image data noise and other uncertainties modeling
- Robust statistics for imaging