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| 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 - Università 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: |
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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. |
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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. |
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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. |
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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. |
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