This unit covers fundamental techniques in image processing. Topics include image representation and enhancement, thresholding, image algebra, neighbourhood operations on images, Fourier methods, edge detection, feature extraction and representation, shape, texture, segmentation, classification, restoration, image compression, and colour and multiband image processing.
Minimum total expected workload equals 12 hours per week comprising:
(a.) Contact hours for on-campus students:
(b.) Additional requirements (all students):
CSE3314
FIT2004 (or CSE2304) and FIT2014 (or CSE2303)
Dr Anuja Dharmaratne
Consultation hours: Mon 2-5, Wed 2-5
Dr Anuja Dharmaratne
Consultation hours: Mon 2-5, Wed 2-5
Monash is committed to excellence in education and regularly seeks feedback from students, employers and staff. One of the key formal ways students have to provide feedback is through the Student Evaluation of Teaching and Units (SETU) survey. The University’s student evaluation policy requires that every unit is evaluated each year. Students are strongly encouraged to complete the surveys. The feedback is anonymous and provides the Faculty with evidence of aspects that students are satisfied and areas for improvement.
For more information on Monash’s educational strategy, see:
www.monash.edu.au/about/monash-directions/ and on student evaluations, see: www.policy.monash.edu/policy-bank/academic/education/quality/student-evaluation-policy.html
Based on previous student feedback this unit is considered to be well structured and students are satisfied with the delivery of lectures as well as the unit content. For this semester lecture slides have been shortened, updated and re-organized.
The following subtopics have been added:
The content on the following subtopics have been reduced:
If you wish to view how previous students rated this unit, please go to
https://emuapps.monash.edu.au/unitevaluations/index.jsp
| Week | Activities | Assessment |
|---|---|---|
| 0 | No formal assessment or activities are undertaken in week 0 | |
| 1 | Course overview, Why digital image processing is important | |
| 2 | Human Visual Perception, Image Processing using Java | |
| 3 | Introduction to Image Processing algorithms | |
| 4 | Image enhancement in Spatial domain | |
| 5 | Edge Sharpening, Edge detection | |
| 6 | Edge detection (continued), Hough transform | Assignment 1 due Friday |
| 7 | Image enhancement in frequency domain | |
| 8 | Image segmentation | |
| 9 | Boundary extraction | |
| 10 | Edge thinning, Skeletonization, Medial axis transformation | |
| 11 | Image compression, Texture analysis | |
| 12 | Recap | Assignment 2 due Friday |
| SWOT VAC | No formal assessment is undertaken in SWOT VAC | |
| Examination period | LINK to Assessment Policy: http://policy.monash.edu.au/policy-bank/ academic/education/assessment/ assessment-in-coursework-policy.html |
*Unit Schedule details will be maintained and communicated to you via your learning system.
Examination (3 hours): 70%; In-semester assessment: 30%
| Assessment Task | Value | Due Date |
|---|---|---|
| Assignment 1 | 10% | Week 6, Friday |
| Assignment 2 | 20% | Week 12, Friday |
| Examination 1 | 70% | To be advised |
Faculty Policy - Unit Assessment Hurdles (http://intranet.monash.edu.au/infotech/resources/staff/edgov/policies/assessment-examinations/assessment-hurdles.html)
Academic Integrity - Please see resources and tutorials at http://www.monash.edu/library/skills/resources/tutorials/academic-integrity/
1. Satisfactory documenting according to the requirements of the assignment
2. Acceptable Higher level system design
3. The implementation plan
4. Demonstrate the use of Image processing algorithms
1. Satisfactory implementation according to the requirements of the assignment
2. Structure, modularity and efficiency of code
3. Ease of use of program user interface
4. Evidence of testing
R. C. Gonzalez and R. E. Woods, Digital Image Processing using MATLAB, Prentice Hall, 2004.
A. K. Jain, Fundamentals of Digital Image Processing, Prentice-Hall, 1990.
W. Niblack, An Introduction to Digital Image Processing, PHI, 1986.
D. H. Ballard and C. M. Brown, Computer Vision, Prentice-Hall, 1982.
M. D. Levine, Vision in Man and Machine, McGraw-Hill, 1995.
R. Jain, R. Kasturi, and B. G. Schunck, Machine Vision, McGraw-Hill, 1995.
C. Watkins, A. Sadun, and S. S. Marenka, Modern Image Processing: Warping, Morphing, and Classical Techniques, Academic Press, 1993.
H. R. Myer and A. R. Weeks, The Pocket Handbook of Image Processing Algorithms in C, Prentice-Hall, 1993.
S. E. Umbaugh, Computer Vision and Image Processing: a practical approach using CVIPtools, Prentice Hall PTR, 1998.
Monash Library Unit Reading List (if applicable to the unit)
http://readinglists.lib.monash.edu/index.html
Faculty of Information Technology Style Guide
Examination/other end-of-semester assessment feedback may take the form of feedback classes, provision of sample answers or other group feedback after official results have been published. Please check with your lecturer on the feedback provided and take advantage of this prior to requesting individual consultations with staff. If your unit has an examination, you may request to view your examination script booklet, see http://intranet.monash.edu.au/infotech/resources/students/procedures/request-to-view-exam-scripts.html
Types of feedback you can expect to receive in this unit are:
Submission must be made by the due date otherwise penalties will be enforced.
You must negotiate any extensions formally with your campus unit leader via the in-semester special consideration process: http://www.monash.edu.au/exams/special-consideration.html
It is a University requirement (http://www.policy.monash.edu/policy-bank/academic/education/conduct/student-academic-integrity-managing-plagiarism-collusion-procedures.html) for students to submit an assignment coversheet for each assessment item. Faculty Assignment coversheets can be found at http://www.infotech.monash.edu.au/resources/student/forms/. Please check with your Lecturer on the submission method for your assignment coversheet (e.g. attach a file to the online assignment submission, hand-in a hard copy, or use an online quiz). Please note that it is your responsibility to retain copies of your assessments.
If Electronic Submission has been approved for your unit, please submit your work via the learning system for this unit, which you can access via links in the my.monash portal.
Please check with your lecturer before purchasing any Required Resources. Limited copies of prescribed texts are available for you to borrow in the library, and prescribed software is available in student labs.
Software
These are freely available from:
JDK - http://www.oracle.com/technetwork/java/javase/downloads/jdk6-jsp-136632.html
Netbeans - http://netbeans.org/
Limited copies of prescribed texts are available for you to borrow in the library.
Gonzalez and Woods. (2001). Digital Image Processing. (2nd Edition) Prentice-Hall.
Writing tools.
Monash has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and to provide advice on how they might uphold them. You can find Monash’s Education Policies at: www.policy.monash.edu.au/policy-bank/academic/education/index.html
Key educational policies include:
Important student resources including Faculty policies are located at http://intranet.monash.edu.au/infotech/resources/students/
The University provides many different kinds of support services for you. Contact your tutor if you need advice and see the range of services available at http://www.monash.edu.au/students. For Malaysia see http://www.monash.edu.my/Student-services, and for South Africa see http://www.monash.ac.za/current/.
The Monash University Library provides a range of services, resources and programs that enable you to save time and be more effective in your learning and research. Go to www.lib.monash.edu.au or the library tab in my.monash portal for more information. At Malaysia, visit the Library and Learning Commons at http://www.lib.monash.edu.my/. At South Africa visit http://www.lib.monash.ac.za/.