Computer Vision Technologies in Agritech:
The research grant is issued in accordance with the University Regulations and funded by the European Union - NextGenerationEU under the National Recovery and Resilience Plan (PNRR) – entitled: National Research Centre for Agricultural Technologies. In this study, I have developed "RootEx", an automated and comprehensive approach for extracting root systems of barley plants from high-resolution images. Our method involves several stages, starting with preprocessing to identify the Region of Interest (ROI) and deep networks for the segmentation part. Furthermore, an algorithm is defined for skeleton construction and graph generation to produce detailed representations of root systems stored in the RSML format. Additionally, a tool defined by a GUI is created to allow end-users to modify and customize the obtained results to obtain more precise masks and RSML files.
Computer Security, Biometric Systems, and Legal Issues:
The work focuses on the transition from paper documents to electronic ones for identification, with a focus on verifying identity through biometric information. The importance of facial recognition for electronic documents and the requirements associated with facial images are highlighted. Image alteration and the associated risks, especially in airport security, are discussed. The proposal involves developing software to assist operators in detecting modified images, based on established methodologies in the field of facial recognition used by law enforcement.
