Prof. Giuseppe Bonifazi
Full Professor at Sapienza Univ di Roma
SPIE Involvement:
Author | Instructor
Publications (66)

Proceedings Article | 7 June 2024 Poster + Paper
Proceedings Volume 13031, 130310S (2024) https://doi.org/10.1117/12.3014862
KEYWORDS: Hyperspectral imaging, Principal component analysis, Short wave infrared radiation, Biogases, Imaging spectroscopy, Environmental monitoring, Analytical research

Proceedings Article | 7 June 2024 Poster + Paper
Proceedings Volume 13031, 130310Q (2024) https://doi.org/10.1117/12.3013227
KEYWORDS: Sand, Polymers, Hyperspectral imaging, Principal component analysis, Data modeling, Statistical modeling, Short wave infrared radiation, Particles

Proceedings Article | 28 May 2024 Presentation + Paper
Proceedings Volume 13083, 130830E (2024) https://doi.org/10.1117/12.3018778
KEYWORDS: Hyperspectral imaging, Principal component analysis, Polymers, Near infrared, Data modeling, Plastics, Sustainability, Statistical analysis, Space operations, Statistical modeling

Proceedings Article | 27 March 2024 Poster + Paper
Proceedings Volume 12879, 128790H (2024) https://doi.org/10.1117/12.3009894
KEYWORDS: X-ray fluorescence spectroscopy, Calcium, Chemical elements, Short wave infrared radiation, Silicon, Hyperspectral imaging, Principal component analysis, Zinc, Copper, Potassium, Manganese

Proceedings Article | 13 June 2023 Poster + Paper
Giuseppe Bonifazi, Riccardo Gasbarrone, Silvia Serranti
Proceedings Volume 12545, 125450E (2023) https://doi.org/10.1117/12.2663382
KEYWORDS: Short wave infrared radiation, Smoothing, MATLAB, Spectroscopy, Spectral density, Infrared spectroscopy, Yeast, Near infrared, Cross validation

Showing 5 of 66 publications
Course Instructor
SC511: Applied Imaging Based Morphology
This course provides the attendee with basic working knowledge to perform morphological and morphometrical based characterization of closed domains (objects, cells, biological tissues, particles, etc.). It gives the fundamentals of digital morphology and shows its great potential for use in many research and industrial sectors. Case studies are presented and evaluated. Attendees will become fluent in the selection and design of analytical tools and architectures used to perform a morphological and morphometrical characterization of electronic images content.
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