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OGD07DMS - ---

Course specification
Type of study Bachelor academic studies
Study programme
Course title ---
Acronym Status Semester Number of classes ECTS
OGD07DMS mandatory 8 1L + 2E 3.0
Lecturers
Lecturer
Lecturer/Associate (practicals)
Prerequisite Form of prerequisites
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Learning objectives
Acquiring basic and applied knowledge in the field of digital image processing and mastering image operations using Matlab software.
Learning outcomes
Students are familiar with the most important concepts, techniques and procedures in digital image processing.
Content
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Teaching Methods
Teaching is conducted through lectures (presentations on the computer) during which students are introduced to the theoretical foundations of digital image processing. Lectures are followed by exercises in the computer classroom, where students use mathematical software (Matlab) to get better acquainted with different algorithms for digital image processing.
Literature
  1. Miodrag Popović (2006) Digital Image Processing, Academic Thought
  2. Zdenka Babić (2005) Digital image processing, script, ET faculty, University of Banja Luka
  3. Rafael C. Gonzalez, Richard E. Woods (2007) Digital Image Processing, International edition, Prentice Hall
  4. Toni Schenk (1999) Digital Photogrammetry – Volume1, TerraScience
  5. John R. Jensen (2004) Introductory Digital Image Processing – Remote Sensing Perspective, Third Edition, Prentice Hall
Evaluation and grading
Activity in class. Pre-exam obligations. Final exam.
Specific remarks
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