Introduction To Digital Image Processing

Course Code:

GEO6010

Semester:

6th Semester

Specialization Category:

S.B.

Course Hours:

3

ECTS:

4


Course Tutors

Kesidis Anastasios

LEARNING OUTCOMES

The objectives of this course are:

  • understanding the basic concepts of digital image processing
  • familiarity with the methods and mathematical models used for image analysis and processing
  • the use of the above methods for the processing, enhancement, segmentation of digital
  • image as well as for analyzing and extracting semantic information for image classification and pattern recognition applications
  • the development of skills related to the implementation of the above methods in a programming environment

 

Upon successful completion of the course the student will be able to:

  • understand the main features of digital image processing
  • know the main tools, techniques, limitations and open problems in digital image processing
  • programmatically implement methods and techniques of digital image processing

 

General Competences

  • Search, analysis and synthesis of data and information, using the appropriate technologies
  • Individual work
  • Project design and manipulation
  • Work in an interdisciplinary environment
  • Promotion of creative and inductive thinking

 

SYLLABUS

Introductory concepts. Image formats and representation. Image digitization. Basic principles of digital images. Numerical and logical operations. Point transformations. Histogram balancing and thresholding techniques. Two-dimensional filters and transformations. Line detection, edges outlines and image areas. Mathematical morphology. Image segmentation. Image analysis, feature extraction, color and texture, points of interest. Coding and image compression. Pattern recognition techniques in digital images.

 

STUDENT PERFORMANCE EVALUATION

I. Written final examination that includes:
– Short answer questions
– Problem solving
II. Midterm written examinations
III. Projects

The examination material and the evaluation process are announced to the students during the lectures and are also posted on the course’s website.

 

ATTACHED BIBLIOGRAPHY

In Greek:
1. Ν. Παπαμάρκος, 2013,Ψηφιακή επεξεργασία και ανάλυση εικόνας, Εκδότης Αφοι Παπαμάρκου Ο.Ε.
2. R. C. Gonzalez and R. E. Woods, 2018, Ψηφιακή Επεξεργασία Εικόνας, Εκδόσεις Τζιόλα.
3. Ι. Πήτας, 2010, Ψηφιακή Επεξεργασία Εικόνας, Εκδότης Ιωάννης Πήτας.
4. Ι. Ν. Έλληνας, 2010, Ψηφιακή Επεξεργασία Εικόνας και Βίντεο, Εκδότης Ιωάννης Έλληνας.

 

In English:
1. C. Solomon, T. Breckon, 2010, Fundamentals of Digital Image Processing, Wiley.
2. M. Petrou and C. Petrou, 2010, Image Processing: The Fundamentals, Wiley.