Image Processing and Analysis
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electronic Multimedia".
Deadline for manuscript submissions: 15 January 2026 | Viewed by 19
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the burgeoning field of Image Processing and Analysis, paying particular attention to the development of innovative algorithms, data-driven techniques and interdisciplinary applications. This Special Issue will also provide an overview of recent advances that improve the ability of machines to interpret, manipulate and extract meaning from visual data. The scope of this Special Issue includes a wide range of topics, including image enhancement, segmentation, feature extraction, classification, deep learning-based methods and real-time image processing systems, as well as applications related to the fields of medical imaging, autonomous systems, satellite imagery and industrial automation. The aim of this Special Issue is to highlight both fundamental research and recent advances in visual information processing.
This Special Issue aims to complement the existing literature by addressing the limitations of traditional methods via the incorporation of innovative approaches driven by artificial intelligence, hybrid techniques and interdisciplinary insights. While the field has witnessed significant growth in recent years, rapid technological advances and the increasing complexity of data demand new theoretical frameworks and practical solutions. By compiling contributions that challenge established paradigms and offer novel applications, this Special Issue will make a timely and valuable contribution to the existing body of knowledge in image processing and analysis.
Dr. Emine Cengil
Guest Editor
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Keywords
- Image processing
- image analysis
- computer vision
- image segmentation
- pattern recognition
- deep learning
- convolutional neural networks (CNNs)
- feature extraction
- image classification
- medical imaging
- real-time processing
- artificial intelligence
- machine learning
- object detection
- image enhancement
- image reconstruction
- multimodal imaging
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