Module Handbook-Mathematics-UniversitasBrawijaya
Module Handbook
Module Name: Introduction to Digital Image Processing
Module Level: Bachelor
Abbreviation, if Applicable: MAM61311 Sub-Heading, if Applicable: -
Courses included in the module, if applicable
Introduction to Digital Image Processing
Semester/term: 5th/ 3rd year
Module Coordinator(s): Chair of the Lab. Applied Analysis and Numerical Computation Lectures(s) Syaiful Anam, S.Si, M.T., Ph.D
Language Bahasa Indonesia
Classification within the curriculum
Elective Course
Teaching format / class hours per week during semester:
100 minutes lectures and 170 minutes laboratory activities per week.
Workload: Total workload is 4.5 ECTS, which consists of 1.67 hours lectures, 2 hours structured activities, 2 hours independent learning, 2.83 hours practice in laboratory, 16 week per semester, and a total 113.33 hours per semester including mid exam and final exam.
Credit Points: 3
Requirements according to the examination
regulations:
Students have attendance at least 80% on Introduction to Digital Image Processing class and registered as examinees in the academic information system
Recommended prerequisites
Students have taken Partial Differential Equation (MAM62302) and Elementary Programming (MAM62301) courses and have
participated in the final exam of the courses.
Module Handbook-Mathematics-UniversitasBrawijaya Module
objectives/intended learning outcomes
After completing this course the student should have
CLO1 : Able to explain the basic concepts of image processing, types of the operations of image processing and the application of image processing methods.
CLO2 : Able to perform the mathematical principles of image processing and understand the workings of digital image processing methods, especially the image enhancement, filtering and image segmentation as well as implementing them using the programming languages.
CLO3 : Able to apply the digital image processing methods to real problems and analyze the results of image processing.
CLO4 : Able to write and review a scientific article in the field of digital image processing and give presentation about the article.
Content: Topics:
1. Introduction to Image Processing
1. Intensity Transformation: negative images, log transformation, Gamma transformation, stretching, and histogram handling.
2. Spatial Filters: basic spatial filters, spatial low pass filters, and spatial low pass filters
3. Filters in the Frequency Domain: Discrete Fourier
Transformations, basic filtering in the frequency domain , image smooting with filters in the frequency domain, image smooting with filters in the frequency domain
4. Perona-Malik Diffusion filter: diffusion equation and discretization of the Perona-Malik diffusion filter
5. Morphological image processing: erosion and dilation, opening and closing operations, and others morphology operators.
6. Image Segmentation: thresholding, region growing,, region splitting and merging algorithm, segmentation with clustering, the snake method, and level set method.
7. Presentation of special topics in digital image processing.
Soft Skill Attribute Discipline, honesty, cooperation and communication
Module Handbook-Mathematics-UniversitasBrawijaya Study / exam
achievements:
The final mark will be weighted as follows:
No. Assessment methods (component, activities). Weight
1. Practice in Laboratory 20 %
2. Assignment 10 %
3. Quiz 20 %
4. Mid examination 25 %
5. Final examination 25 %
Final grades is defined as follow: A : 80 < Final Mark ≤ 100 B+ : 75 < Final Mark ≤ 80
B : 69 < Final Mark ≤ 75
C+ : 60 < Final Mark ≤ 69
C : 55 < Final Mark ≤ 60
D+ : 50 < Final Mark ≤ 55
D : 44 < Final Mark ≤ 50
E : 0 ≤ Final Mark ≤ 44
Forms of Media Matlab / Python, Microsoft Power Point, Internet Browser, LCD Projector, Computers, Internet Network and Whiteboard Learning Methods Lecture
Literature 1. Gozales, R C.. dan Woods, R. E., 2008, Digital Image Processing, edisi 4, pearson
2. Prat, W. K., 2007, Digital Image Processing, edisi 4, Wiley 3. Aubert, G, dan Kornprobost, 2000, Mathematical Problem in
Image Processing : Partial differential equation and the Calculus of Variations, Springer
4. The latest journals related to digital image processing Notes:
