Development of Advanced Automatic Analysis Methodologies for Environmental, Industrial and Biomedical Monitoring

EIBM DIT-PRJ-07-011

Status NOT active project
DISI role Coordinator
Project type Research Project
Dimension International
Acquisition date 2006-11-15
Start date 2006-11-15
End date 2009-11-15

Project details

Project astract In the last years, the automatic analysis of images and signals has reached a position of growing importance in the daily life of modern societies. This is explained by the fact that the automatic analysis of information coming from physical, biophysical and biological processes results undoubtedly more advantageous both in terms of temporal cost and of resources, as well as for the convenience it offers in the monitoring of these processes which is necessary for improving the wellbeing of individuals. The automatic recognition applications are numerous. In particular, those which will represent the subject of interest of the present project are three. Their choice is motivated by their importance in various segments of the life of a society and by the experience matured in these applications by the researchers involved in this project.<br/>1) Environmental Monitoring: The automatic monitoring of the earth surface through images acquired by satellite remote sensors plays a key role in the optimization of the decisions that local and national authorities should take for ensuring a regular and effective control process of natural resources and dynamics of the territory.<br/>2) Industrial Monitoring: In the food industry, the requirements of an accurate and fast control of food product quality with various sensors such as spectrometers are primordial. The interest from industrial operators for the exploitation of automatic recognition technologies grows in a constant manner.<br/>3) Biomedical Monitoring: In the biomedical field, the use of non-invasive diagnostic methods through ultrasound, microwave and magnetic resonance devices for the qualitative and quantitative identification of tumors represents an application where the automatic recognition is contributing in a significant way.<br/>
Keywords pattern recognition; satellite remote sensing; biochemical spectrometry; biomedical diagnosis;
Fundings 105800 €
Partners
  • DIT - UniTN
  • University of Batna

DISI Sub-project details

Fundings 105800 €
Manager Farid Melgani