Imaging, Vision, and Pattern Recognition
1University of Gabès, Gabès, Tunisia
2University of Souk Ahras Mohamed Chérif Messaadia, Souk Ahras, Algeria
3Indian Institute of Information Technology, Design and ManufacturingJabalpur, Jabalpur, India
4Swiss Federal Institute of Technology in Lausanne, Lausanne, Switzerland
5Faculty of Sciences of Gabès, Gabès, Tunisia
Imaging, Vision, and Pattern Recognition
Description
Pattern recognition, machine vision, and imaging are a set of techniques and methods belonging to machine learning. They focus on approach linked to recognition of patterns, regularities in data, computer vision, and image processing. Pattern recognition, machine vision, and imaging share other topics such as artificial intelligence and learning techniques.
Moreover, signal processing is a fundamental domain based on several techniques which encompasses the fundamental theory, applications, algorithms, and implementation of processing or transferring information. It uses mathematical, statistical, and computational representations and formalisms for representation, modeling, analysis, and synthesis of data.
They remain among one of the innovative areas.
Potential topics include but are not limited to the following:
- Machine learning and computational intelligence applied to image processing and classification
- Human-machine interface and integration
- Biomedical systems and applications in medicine
- Signal processing techniques and tools
- Security of environment based on sensors deployment and interpretation