Unit APPLIED IMAGE AND SIGNAL PROCESSING
- Course
- Informatics
- Study-unit Code
- A002085
- Curriculum
- Cybersecurity
- Teacher
- Gianluca Vinti
- Teachers
-
- Gianluca Vinti
- Danilo Costarelli (Codocenza)
- Hours
- 52 ore - Gianluca Vinti
- 10 ore (Codocenza) - Danilo Costarelli
- CFU
- 6
- Course Regulation
- Coorte 2021
- Offered
- 2022/23
- Learning activities
- Affine/integrativa
- Area
- Attività formative affini o integrative
- Academic discipline
- MAT/05
- Type of study-unit
- Opzionale (Optional)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- English
- Contents
- Introduction to the course
• Summary of the Fourier transform and its properties.
• Exact sampling and approximate sampling
• Generalized sampling operators
and sampling- Kantorovich: their properties and main results.
• Notions on images and on the applications of the theorem of
sampling to images
• MATLAB and its applications to image processing
• GIMP, IMAGEJ, and their applications to image processing
• Image Processing Algorithms: registration, segmentation,
thresholding, morphological operators, smoothing and sharpening operators,
etc.
• Image acquisition instrumentation: CT, RNM, Thermography.
• Medical diagnostics:
-General introduction to medical diagnostics
- Vascular, diagnostic and interventional surgery
• Possible visits:
- Visit to the Diagnostic Imaging Department: radiography (RX),
computed tomography (CT), magnetic resonance imaging (MRI), ultrasound,
cardioCT.
-Visit to the section of vascular surgery: endovascular treatments
-Visit the ophthalmology section
• Visit to the Center for Research on Atomic Pollution and the Environment
(Hot-Box, thermography, thermal bridges and pollution).
• Non-invasive diagnostics in the engineering field:
image processing for seismic vulnerability
• Laboratories of Applied Mathematics on topics of the course - Reference texts
- Notes and slides of the teacher. It will be recommended some books.
- Educational objectives
- Learning outcomes:
The course provides knowledge of the major concepts of image processing with particular reference to the medical ones.
The main knowledge (descriptor Dublin 1) will be acquired:
• knowledge of the reconstruction of signals and images by sampling;
• Knowledge of the main concepts and analysis techniques and image processing;
• knowledge of the main problems of medical diagnostics and application of algorithms for the improvement of image;
The main skills acquired (ability to apply the knowledge gained descriptor Dublin 2, and to take with independent judgment the appropriate approach, the Dublin descriptor 3) will be:
• analytical skills and image processing whose purpose is to medical diagnosis;
• ability to develop a line of reasoning that leads the student to identify the methods of solving the problem in question;
• ability to identify the right approach to the solution of the problem with an eye toward the medical diagnostics. - Prerequisites
- Knowledge of reconstruction of signals and images by sampling;
Knowledge of the main concepts and analysis techniques and image processing;
Knowledge of the main problems of medical diagnostics and of the application of algorithms for the improvement of image. - Teaching methods
- The course is structured as follows:
1) Lectures on all the topics of the course;
2) Classroom workshop: 2/3 workshops on problems where topics from the course are used
3) Guided tours of 4 hours each at the departments of the Santa Maria della Misericordia Hospital in Perugia (radiology and / or vascular and / or ophthalmology surgery) and / or at Engineering. - Other information
- Attendance is strongly recommended for all lessons.
- Learning verification modality
- Oral exam.
The verification of the educational objectives of teaching (examination) include an oral exam. The oral exam will be held on the dates set out in the examinations of the CdS calendar.
The oral examination, consists of a discussion of the duration not exceeding 40 minutes each aimed at verifying: i) the level of knowledge of the theoretical and laboratory course content (Dublin descriptor 1), ii) the level of expertise in exposing the logical and mathematical reasoning skills (descriptor Dublin 2), iii) the independence of judgment (Dublin descriptor 3) to propose the most appropriate approach to argue what is required. The oral examination also aims to verify the student's ability to present with properties of language questions proposed by the Commission, to support a dialectical relationship during discussion and dimostrate logical-deductive ability and synthetic exposition (descriptor Dublin 4).
The final mark will be made by the Commission in thirty. - Extended program
- Introduction to the course
• Summary of the Fourier transform and its properties.
• Exact sampling and approximate sampling
• Generalized sampling operators
and sampling- Kantorovich: their properties and main results.
• Notions on images and on the applications of the theorem of
sampling to images
• MATLAB and its applications to image processing
• GIMP, IMAGEJ, and their applications to image processing
• Image Processing Algorithms: registration, segmentation,
thresholding, morphological operators, smoothing and sharpening operators,
etc.
• Image acquisition instrumentation: CT, RNM, Thermography.
• Medical diagnostics:
-General introduction to medical diagnostics
- Vascular, diagnostic and interventional surgery
• Possible visits:
- Visit to the Diagnostic Imaging Department: radiography (RX),
computed tomography (CT), magnetic resonance imaging (MRI), ultrasound,
cardioCT.
-Visit to the section of vascular surgery: endovascular treatments
-Visit the ophthalmology section
• Visit to the Center for Research on Atomic Pollution and the Environment
(Hot-Box, thermography, thermal bridges and pollution).
• Non-invasive diagnostics in the engineering field:
image processing for seismic vulnerability
• Laboratories of Applied Mathematics on topics of the course