Digital Image Analysis (U01427)

? Credit Points : 10 ? SCQF Level : 11 ? Acronym : PHY-4-DigImAn

An introductory course on digital image processing techniques concentrating on the mathematical and physical models underlying the processing operations. Digital image representation and sampling aspects are followed by various processing techniques including point by point operations, noise models, filtering, de-convolution techniques and introduction to tomography. This course consists of lectures plus a short programming project.

Entry Requirements

? Pre-requisites : At least 80 credit points accrued in courses of SCQF Level 9 or 10 drawn from Schedule Q, including Computational Methods (PHY-3-CompMeth) or Advanced Computer Simulation (PHY-3-CompSim); Optics (PHY-3-Optics or PHY-3-Phys3) is desirable.

Variants

? This course has variants for part year visiting students, as follows

Digital Image Analysis (VS1) (Not being delivered)

Subject Areas

Home subject area

Undergraduate (School of Physics), (School of Physics, Schedule Q)

Delivery Information

? Normal year taken : 4th year

? Delivery Period : Semester 1 (Blocks 1-2)

? Contact Teaching Time : 2 hour(s) per week for 11 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
18/09/2007	12:00	13:00			301 - Crewe Building

All of the following classes

Type	Day	Start	End	Area
Lecture	Tuesday	12:10	13:00	KB
Lecture	Friday	12:10	13:00	KB

Summary of Intended Learning Outcomes

On completion of this course a student should be able to demonstrate
understanding of and be able to solve problems on:
1)linear image formation and its underlying assumptions
2)digital representation of image, the discrete Fourier Transform, its properties and implementation, Shannon sampling theorem, interpolation to zeroth and first order
3)first order image statistics, point-by-point processing and histogram manipulation
4)fixed pattern noise and random noise including underlying physics of Gaussian additive noise and methods of it estimation
5)linear filtering in real and Fourier space, non-linear filters including shrink and expand, average threshold and median
6)image restoration by inverse and Weiner filter, outline of CLEAN and maximum entropy restoration
7)tomographic system and reconstruction by Fourier inversion and filtered back projection, outline of fan-beam system