Computer Algebra in Image Processing
Special session @ ACA 2017
23rd Conference on Applications of Computer Algebra
Jerusalem, July 17-21, 2017
Aim and scope
We cordially invite you to participate in the 2017 ACA Image Processing session. The event provides a unique opportunity for scientists, engineers, program managers and policy makers from all around the world to share and learn about the trends, recent developments, and achievements in the area of Image Processing.
Image processing is a very broad discipline, where the range of applications is widening and is merging with other technological topics with an ever increasing impact. Modern applications in robotics and cyber-physical systems require image acquisition, analysis and information extraction to be executed on embedded low-power, portable and autonomous devices, requiring novel architecture solutions to be studied and implemented.
This special session organized by ACA 2017 will target relevant problems in Image processing that can be addressed with classical or advanced methods of signal and image processing with a focus on techniques that employ methods such as restoration, segmentation, mathematical morphology, texture analysis, multiscale and directional-feature extraction, color and multispectral processing, and stochastic models.
In each one of these techniques the transformation of the image and/or the extraction of the relevant information are performed using a series of algorithms. Today image processing software becomes algebraic systems where the transformation of the image is a results of operations between algorithms. In this session we will present topics of image processing with an emphasis on the operating aspects of the different algorithms. Very often these algorithms exhibit significant Computer Algebra components, as for example in the related topic of CAGD computations.
Topics (non exhaustive list)
- Heritage preservation (restoration, enhancement, denoising, quality assessment)
- Reconstruction and visualization of cultural heritage (data acquisition, 3D representation, virtual representation)
- Image analysis (pattern recognition, classification, retrieval, segmentation, quantification)
- Building stones, decorated caves, stained glass windows, statues (wood, stone, metal, ceramic), paintings, textiles, ancient texts, seals…
- Image and Signal Processing for remote Sensing.
- Computer Algebra applications to image processing
We expect research groups from various countries that work on topics of image processing related to heritage. We also expect experts in Remote Sensing to attend the session either for presenting their image processing problems or to shop for efficient methods that can be used in their area. The abstracts should emphasize the role of Computer Algebra in this important scientific and technological field and show applications of Computer Algebra.
If you are interested in proposing a talk, please send an abstract to the organizers. Please use this LaTeX template for your abstract and send both the LaTeX source and a compiled PDF version. We suggest that abstracts be 1-2 pages including references.
- Erick Fredj, JCT (Lev Academic Center, Dpt of Computer Science), email@example.com
- Moti Reif, JCT (Lev Academic Center, Dpt of Computer Science), firstname.lastname@example.org
- David Zeitoun (Orot Israel College, Dpt of Mathematics), email@example.com
ACA’2017 main page