Advances in Image Processing and Computer Vision Based on Machine Learning, 2nd Edition
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 October 2025 | Viewed by 1270
Special Issue Editors
Interests: audio signal processing; biometrics; IoT; drone/UAV communications; rainfall estimation and monitoring; post-earthquake geolocation; image processing, computer vision, machine learning-based applications
Special Issues, Collections and Topics in MDPI journals
Interests: signal processing; computer vision; convolutional neural networks; geolocation; drone communications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue will be dedicated to recent advances in image processing and computer vision. The recent explosion in developments and application areas in this field is largely due to the powerful capabilities of machine learning algorithms and, more specifically, convolutional neural networks (CNNs).
Computer vision plays an important role in healthcare (e.g., COVID-19), anti-crime applications, and countering hydrogeological disruption. This Special Issue will present original, unpublished, ground-breaking research in the metaverse and computer vision, focusing on new algorithms and mechanisms, such as artificial intelligence, machine learning, and explainable artificial intelligence (XAI). We aim to bring leading scientists and researchers together and create an interdisciplinary platform for the exchange of computational theories, methodologies, and techniques.
The purpose of this Special Issue is to disseminate research papers or state-of-the-art surveys that pertain to novel or emerging applications in the field of image processing and computer vision based on machine learning algorithms. Papers may contribute to technologies and application areas that have emerged over the last decade. We particularly welcome submissions that address, but are not limited to, the areas mentioned in the list of keywords below.
Dr. Francesco Beritelli
Dr. Roberta Avanzato
Guest Editors
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. Electronics is an international peer-reviewed open access semimonthly 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 2400 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.
Keywords
- image processing
- image segmentation
- computer vision
- deep learning
- machine learning
- reinforcement learning
- classification
- healthcare applications
- novel industrial applications
- high-speed computer vision
- novel applications for 3D vision
- object recognition
- object detection
- object tracking
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