Hexagonal Image Processing in Computer Vision
A special issue of Journal of Imaging (ISSN 2313-433X).
Deadline for manuscript submissions: 31 March 2025 | Viewed by 62
Special Issue Editors
Interests: computer vision; machine learning and deep learning; biocomputing; medical informatics; clinical decision support systems; hexagonal image processing; general object detection and classification
Interests: computer vision and pattern recognition; image processing; machine learning and deep learning, including application areas in the domains of medical and industrial text, image, and video processing; hexagonal computer vision, deep learning, and image processing
Special Issue Information
Dear Colleagues,
Hexagonal image processing has emerged as a fundamentally innovative yet nascent methodology in computer vision that is leveraging the geometric properties of hexagonal grids over traditional square pixel arrays.
This Special Issue explores the latest advancements and applications of hexagonal image processing across various domains of computer vision. Special emphasis is placed on the investigation and implementation of hexagonal structures in image generation and acquisition, as well as image enhancement and analysis, demonstrating improvements while also highlighting the challenges in tasks related to computer vision, pattern recognition, as well as machine learning and deep learning. Additional focus is given to contributions that systematically evaluate and compare traditional algorithms and models with their hexagonal counterparts in terms of accuracy and computational performance. Given the general lack of publicly available hexagonal datasets, contributions that describe hexagonal datasets, their properties, and generation processes in detail are especially welcome.
Through this call, this Special Issue aims to provide a robust framework for understanding the benefits and challenges of hexagonal image processing, offering insights into their evaluation and explainability for researchers and practitioners seeking to enhance the accuracy and efficiency of computer vision systems.
We look forward to your valuable contributions and findings.
Prof. Dr. Danny Kowerko
Dr. Tobias Schlosser
Guest Editors
Manuscript Submission Information
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Keywords
- hexagonal sensor data and datasets
- hexagonal image generation and synthesis
- comparison of traditional vs. hexagonal algorithms
- applications of hexagonal image processing
- review articles on hexagonal image processing
- hexagonal image processing in: computer vision pattern recognition, artificial intelligence, machine learning, deep learning, and artificial neural networks
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