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Introduction to Digital Image Processing

University of Technology
Enrollment is Closed


This course describes about Basic Concepts of image types, color space and usage area of digital image processing, the concept of pixel and intensity, and types of operation and three types of transforms, the concept of histogram and histogram processing on digital image processing, filtering concept, noise removal and edge enhancement, color image processing, various image segmentation techniques, morphological processing, supervised and unsupervised classification are explained.

Learning Goals

Upon completion of this course, students will be able to: - learn various techniques for digital image processing field - understand how to use Matlab code for Image Processing - apply various modern techniques of digital image processing in the real world.

Course Operation Period

August 5, 2019 ~ November 20, 2019

Course Level


Evaluation Standard

Evaluation Standard
Item Title Score(Rate) Implementing Week Method Remarks
Assignment Assingment 20 Week 2, 6, 10, 13 By e-mail or LMS -
Discussion Discussion 20 Week 3, 7, 11, 14 Offine or Online with group messaging -
Midterm Exam Midterm Exam 30 Week 8 Online -
Final Exam Final Exam 30 Week 15 Online -
Total 100

Summary of Curriculum

# of Week
No. Topic Title Remarks
1 Introduction and Digital Image Fundamentals TA will explain the learning process and flow to students
2 Pixels and Intensity Transformations Assignment
3 Histogram Based Image Processing Discuss with students in online for above lectures
4 Image Enhancement Group discussion
5 Image Restoration Group discussion
6 Color Image Processing Assignment
7 Morphological Image Processing I Discuss with students in online for above lectures
8 Midterm Examination Online, MCQ
9 Morphological Image Processing II Group discussion
10 Image Segmentation I Assignment
11 Image Segmentation II Discuss with students in online for above lectures
12 Geometry Group discussion
13 Representation and Description Assignment
14 Classification Discuss with students in online for above lectures
15 Final term Examination Online, MCQ

Textbook & References

“Fundamentals of Digital Image Processing, A Practical Approach with Examples in Matlab”, by Chris Solomon, Toby Breckon

Professor Information

Dr. Tin Myint Naing
University of Technology(Yatanarpon Cyber City)
Image Processing, Business Strategy

T.A. Information

Dr. Thuzar Tint
University of Technology(Yatanarpon Cyber City)
Image Processing
Han Bo Htun
University of Technology(Yatanarpon Cyber City)
Computer Operation and maintain

How to provide assistance for learners

Lesson pdf and materials will be delivered by e-mail or download from LMS if provided.

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