Algorithms for Content Based Image Retrieval
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (15 October 2019) | Viewed by 8553
Special Issue Editor
Interests: nverse problems; integral equations; machine learning; nonlinear systems; bifurcation; numerical methods; energy systems engineering; optimal design and operation; forecasting; energy storage systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The continuous growth of massive imaging data warehouses in various fields including geophysical research, NDT, medical diagnostics, and homeland security has led to the development of various techniques for content-based image retrieval; this has also been an active research field in the last twenty years. However, image retrieval under conditions of rapid accumulation of gigabytes of imaging data remains one of the main challenges in computer science. The analysis and retrieval of such massive imaging data warehouses has paved the way for various novel mathematical model developments, with applications ranging from radiology to UAV navigation. To this end, a variety of technological and mathematical questions need to be addressed, from data preprocessing, restoration, and multi-physics image sensing to features engineering and classification.
The purpose of this Special Issue is to bring together applied mathematicians, software engineers, and experts from industry to meet and share their experiences in order to build future robust content-based image retrieval systems.
Prof. Dr. Denis N. Sidorov
Guest Editor
Manuscript Submission Information
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Keywords
- Feature engineering
- Computer vision
- Machine learning
- Optimization
- Image indexing.
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