Module Catalogues, Xi'an Jiaotong-Liverpool University   
Module Code: EEE330
Module Title: Image Processing
Module Level: Level 3
Module Credits: 5.00
Academic Year: 2019/20
Semester: SEM2
Originating Department: Electrical and Electronic Engineering
Pre-requisites: EEE203OREEE204OREEE336EEE204EEE203
To introduce the basic concepts of digital image processing and pattern recognition.
Learning outcomes 
A. Understand the basic principles of digital image processing.

B. Understand the techniques used in digital image processing.

C. Have an appreciation of the areas of applications for various image enhancement techniques.

D. Apply relevant image enhancement techniques to a given problem.

E. Have basic skills to develop image processing software.

Method of teaching and learning 
The module will be delivered via lectures and supervised laboratory sessions, which will include demonstrations of image
1- (2) Introduction, Human Vision System, image acquisition, Spatial resolution of digital images, Effect of quantization, Measure of spatial resolution, matrix representation of images, Image storage, image display. Basic relationship between pixels, Imaging geometry, Distance measures.

2- (2) Image Enhancement; histogram processing; image smoothing and sharpening, filtering in spatial and frequency domains; High pass & low pass filtering.

3- (2) Image transforms; spatial frequency concepts; Walsh, and Hadamard transforms. Discrete Cosine Transform.

4- (3) Image Compression; Introduction to source coding, Types of redundancy Concept of lossless-lossy compression, JPEG/MPEG.

5- (2) Morphological image processing.

6- (2) Segmentation, thresholding, watershed algorithm, texture segmentation.

Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 26       24    100  150 


Sequence Method % of Final Mark
1 Lab Report1 30.00
2 Lab Report2 35.00
3 Lab Report3 35.00

Module Catalogue generated from SITS CUT-OFF: 6/2/2020 12:44:16 AM