The main objective of the course is to teach students basic image processing methods and algorithms. In addition, students are also provided with knowledge about the application areas of image processing. Students are expected to apply the knowledge learned in the course to the design, development and analysis of systems and applications based on image processing.

Introduction to image processing, digital image fundamentals, image enhancement, morphological operations, edge detection, basic detection operations, image feature extraction, image segmentation, pattern recognition, object detection, image processing and deep learning, image processing applications.

Theoretical lectures, exams, discussion, question-answer, homework, project, individual study.

Textbook: Digital Image Processing 4th Edition, Rafael C. Gonzalez, Richard E. Woods, Addison Wesley, 2017. Other resources: - Lecture notes and application examples. - Online courses and course materials on the internet.