Introduction to Digital Image Processing

University of Technology

Enrollment is Closed

Introduction

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

Intermediate

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; utinmyintnaing08@gmail.com

T.A. Information

Dr. Thuzar Tint: University of Technology(Yatanarpon Cyber City); Image Processing; thuzartint1984@gmail.com

Han Bo Htun: University of Technology(Yatanarpon Cyber City); Computer Operation and maintain; hbohtun@gmail.com

How to provide assistance for learners

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