New Module Form

jamaicacooperativeΤεχνίτη Νοημοσύνη και Ρομποτική

17 Οκτ 2013 (πριν από 4 χρόνια και 23 μέρες)

95 εμφανίσεις

Draft Created by Syllabus Team as part of Academic Simplification

2012/2013

Page
1



New Module Form


Essential Information Required for
Module Manager


ACADEMIC YEAR
___________

Module Detail


Title

Embedded Image Process
i
ng

(maximum
50 characters)

Description

This module covers the
concepts and technology that are central to

embedded image
processing.
The module covers
the fundamentals of digital images
and sensor
characteristics
, as well as
core image processing functions

and how these are used
to d
evelop
more sophisticated
feature detection
and machine vision
algorithms.

(brief description
of the

content of the module

between 75


150 words)

*Note Field to indicate

taught through Irish/English/Erasmus







Course Instances (s)


ME electrical

& electronic


1SPE, 2SPE, 3SPE, 4SPE
, 1SPD,
2SPD, 3SPD, 4SPD














Module ve
rsion number and date approved

*

xx/xx/2012


xx/xx/2012


xx/xx/2012

Date Retired


Module Owner / Lecturer

Dr. Edward Jones and
Dr. Martin Glavin

(2720/2035 edward.jones@nuigalway.ie;
martin.glavin@nuigalway.ie)

Module Administrator Details

Ms. Mary Costello

(2728,
mary.costello@nuigalway.ie)


Please specify main contact person
(s)

for exam related queries and contact number /email


Module Code




(
Office use only)

Module Type

Core= Student must take the

module


Optiona
l = Choice for Student



Optional for









Core for







ECTS

Multiple of 5 ects

5 ects

Course Requirement

40%































(i.e. where a module has to be passed at 40%)

Semester Taught


Semester 2

Semester Examined

Semester 2


Requisite(s)

Co
-
Req.

If they take module X they must
take module Y

Modules 




















Pre
-
Req


The student must have taken and
passed a module in previous year


Modules 

EE4xx D
igital Signal
Processing







Excl.Req.

If they take module X they
CANNOT
take module Y


Modules 

























Module Assessment

1
st

Sitting


2
nd

Sitting

Assessment Type

Written Paper



Written Paper



Exam Session

Semester 2



Autumn



Duration

2 Hours



2 Hours





Bonded Modules

(modules which are to be
examined at the same date and
time)









































Draft Created by Syllabus Team as part of Academic Simplification

2012/2013

Page
2


PART B











Module Schedule

No. of Lectures

Hours

32

Lecture Duration

1

No. of Tutorials

Hours

4

Tutorial Duration

1

No. of Labs

Hours

8

Lab Duration

2

Recommended No. of self study
hours

40

Placement(s)

hours







Other educational
activities
(Describe)

and hours allocated

16 (assignment)

*
Total range
of hours to be automatically totalled (min amount to be hit)



Module Learning Outcomes


(CAN BE EXPANDED)

On successful completion of this

module the learner should

be able to:

1
Describe a digital image in terms of the image parameters, sensor characteristics
,
lens characteristics

and colour space

2
Perform matrix and vector calculations for image pr
ocessing functions

3
Describe and apply frequency domain filtering techniques to digital images

4
Apply segment
ation algorithms to digital images

5
Develop and a
pply feature detection algorithms to digital images

6
Apply image compression algorithms to raw digital images

7
Apply appropriate
metrics

for the analysis of image qua
lity

8
Use OpenCV to implement a range of image processing operations


Module Learning, Coursework and Assessment

Learning Outcomes at module level should be capable of being assessed. Please indicate assessment methods and the outcomes th
ey will assess

Assessment
type
,
eg. End of year exam, group project

Outcomes
assessed

% weighting

Written Paper

Continuous Assessment



1
-
7


1
-
8









7
0


30









Indicative Content

(Marketing Description and content)

This module covers the concepts and technology that are central to embedded image
processing
: fundamentals of imaging and sensor characteristics; lens characteristics,
lens distortion and compensation; basic i
mage processing operations; image filtering,
edge detection and segmentation; image compression; image quality assessment.
The course material will be supported by pracitcal examples and
laboratories/assignments using Matlab and OpenCV software; students w
ill be
expected to have some profici
e
ncy in Matlab and C or C++ programming.





Workload:

ECTS credits represent the student workload for the programme of study, i.e. the total time
the student spends engaged in learning activities. This includes formal teaching, homework,
self
-
directed study and assessment.


Modules are assigned credits that are whole number multiples of 5.

One credit is equivalent to 20
-
25 hours of work. An undergra
duate year’s work of 60 credits is
equivalent to 1200 to 1500 hours or 40 to 50 hours of work per week for two 15 week
semesters (12 weeks of teaching, 3 weeks study and formal examinations).


Draft Created by Syllabus Team as part of Academic Simplification

2012/2013

Page
3



Module Resources


Suggested Reading Lists


1.
Course notes

2.
"Digital Image Processing", Third
Edition, R.C.
Gonzalez and R.E. Woods, Pearson Education, 2008

3. OpenCV User Guide

Library







Journal







Physical

(e.g. AV’s)







IT

(e.g. software + version)

Matlab, OpenCV

Admin










FOR COLLEGE USE ONLY

Student Quota

(where applicable only)

Quota

(identify number per module where applicable only)

Module:






Number:






Discipline involved in Teaching

*
(drop down for disciplines within school)

Electrical & Electronic Engineering

Share of FTE

*
(% out of 1)

100%

RGAM



NB:

Notes on some fields are for the technical side when considering which
software

company to use.