Machine Learning in Intelligent Image Processing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (16 April 2025)
Special Issue Editor
Interests: artificial intelligence; machine learning; image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of machine learning with intelligent image processing is driving significant advancements in various fields, including healthcare, security, automotive, and entertainment. Machine learning techniques are being increasingly applied to enhance image recognition, segmentation, classification, and generation tasks, leading to more accurate and efficient solutions. This Special Issue aims to explore the latest innovations and applications of machine learning in intelligent image processing.
I invite researchers to contribute original research articles that address the challenges and opportunities in this domain. I am particularly interested in papers that propose novel algorithms, frameworks, and applications that push the boundaries of what is currently possible in image processing using machine learning.
Topics of interest include, but are not limited to, the following:
- Advanced machine learning algorithms for image recognition and classification;
- Deep learning techniques for image segmentation and object detection;
- Generative models for image synthesis and enhancement;
- The applications of machine learning in medical image analysis;
- Real-time image processing solutions for autonomous vehicles;
- Security and privacy in image processing with machine learning;
- Cross-domain adaptation and transfer learning in image processing;
- The explainability and interpretability of machine learning models in image processing.
I look forward to receiving your innovative contributions to this Special Issue.
Dr. Mohsen Ahmadi
Guest Editor
Manuscript Submission Information
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Keywords
- • Machine learning
- • Image processing
- • Deep learning
- • Image recognition
- • Image segmentation
- • Object detection
- • Generative models
- • Medical imaging
- • Autonomous vehicles
- • Real-time processing.
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