Short Course Listings
Short Course

Course Information
Course Title: Hyperspectral Imaging Applied to Complex Particulate Solids Systems
Categories: 1 - Chemometrics
2 - Microscopy
3 - Digital Imaging
4 - Sensors
5 - Spectroscopy
6 - Infrared Spectroscopy
Instructor(s): Giuseppe Bonifazi Course Number: 40
Affiliation: Sapienza - UniversitÓ di Roma
Course Date: 03/19/2013 - Tuesday Course Length: 1/2 Day Course
Start Time: 01:00 PM End Time: 05:00 PM
Fee: $260 ($360 after 2/18/13) Textbook Fee:

Course Description
HyperSpectral Imaging (HSI) is based on the utilization of an integrated hardware and software (HW&SW) platform embedding conventional imaging and spectroscopy to attain both spatial and spectral information from an object. It has recently emerged as a powerful process analytical tool for non-destructive analysis. In this short course, the possibilities offered by HSI based techniques to be applied both off-line and on-line, are presented and critically evaluated. Case studies, related to recent advances in the application of HSI to different industrial sectors, as agriculture, food, pharmaceuticals, solid waste handling and recycling, etc. and addressed to specific goals as contaminants detection, defec t identification, constituent analysis and quality evaluation are described, according to authors’ originally developed application.

Target Audience
Managers and engineers who want to understand the potentialities offered by Hyperspectral Imaging (HI) in real problem solving at laboratory or industrial scale.

Course Outline
Description of the fundamentals of hyperspectral imaging based devices hardware and software architectures with reference to "off-line", "on-line" and "in-line" applications. Hyperspectral imaging based algorithms description with reference to single objects and complex configurations recognition and classification. Real laboratory and "industry-oriented" applications description, analysis and critical evaluation.

Course Instructor's Biography
Prof. Giuseppe Bonifazi is Full Professor of Raw Materials Beneficiation at the Department of Chemical Engineering Materials and Environment at La Sapienza - University of Rome. He has an extensive experience over 25 years on characterization of particles and particulate solids materials by image processing. The main scientific and technical fields object of investigation are those related to: i) the study of software and hardware integrated architectures for the synthesis, the classification and the recognition of numeric signals; ii) the development and set up of procedures for the identification of objects and material using pattern recognition techniques based on classical and hyperspectral imaging techniques and iii) the analysis and the application of methodologies to study and model industrial processes with reference to particulate solids (e.g. primary and secondary raw materials). His specific expertise in the field of powder and bulk solids includes the development of algorithms, software and hardware architectures to reach the characterizations, with particular reference to particles constituted by several phases and complex textures and morphology.