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Short Course

Course Information
Course Title: (CANCELED) Imaging Based Morphology: Fundamentals
Categories: 1 - Microscopy
2 - Data Analysis
3 - Digital Imaging
4 - Food
5 - Forensics
6 - Spectroscopy
Instructor(s): Giuseppe Bonifazi Course Number: 61
Affiliation: Sapienza - UniversitÓ di Roma
Course Date: 03/07/2017 - Tuesday Course Length: 1/2 Day Course
Start Time: 08:30 AM End Time: 12:30 PM
Fee: $325 ($425 after 2/18/17) Textbook Fee:

Course Description
The course provides the basic working knowledge to perform morphological and morphometrical based characterization of closed domains (objects, cells, biological tissues, particles, etc.) following both a classical (i.e. RGB and/or multi-spectral and advanced (i.e. hyperspectral) imaging based approach. It is addressed to give some information concerning digital morphology and to show the big potential of its utilization in many research and industrial sectors. Case studied are presented and critically evaluated. Attendees, at the end of the course, will become fluent in the selection and design of analytical tools and architectures able to perform a morphological and morphometrical characterization of electronic images content.

Target Audience
The course is addressed to anyone who wants to learn more on morphological and morphometrical analytical based procedures. Researchers and scientists involved in the design of control tools, both at laboratory and industrial scale, to characterize “domains” presenting complex morphology or being such a parameter a distinctive feature to analyze.

Course Outline
The course is addressed:
• to define and describe techniques and algorithms easy to implement and to handle in order to realize a full morphological and morphometrical characterization of the domains of interest in the image,
• to design strategies to develop and set-up “intelligent procedures” to detect and handle complex (in terms of morphological and morphometrical attributes) systems,
• to explain how to select the best available hardware and software architecture to perform the analysis,
• to evaluate and compare results obtained following different approaches (classical morphology, mathematical morphology, digital morphology, signal based morphology, etc.).

Course Instructor's Biography
Prof. Giuseppe Bonifazi is Full Professor of Raw Materials Engineering, Director of the Research and Service Centre for Sustainable Technological Innovation of La Sapienza. He has over 30 year experience in characterization and processing of primary and secondary raw materials with more than 250 papers. He took part in 12 EU Research Projects and has one patent on application of chemical imaging to kidney stones characterization. Main scientific and technical fields object of investigation: i) study of software and hardware integrated architectures for the synthesis, the classification and the recognition of complex 2D and 3D structures; ii) 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) analysis and the application of methodologies to study and model industrial processes with reference to particulate solids material.