# 14186 - Image Processing and Computer Vision Modulübersicht

 Module Number: 14186 Module Title: Image Processing and Computer Vision Bildverarbeitung und Computer Vision Department: Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology Responsible Staff Member: Prof. Dr. rer. nat. habil. Breuß, Michael Language of Teaching / Examination: English Duration: 1 semester Frequency of Offer: On special announcement Credits: 6 Learning Outcome: After successfully completing the module, students are acquainted with basic and advanced techniques and mathematical models for processing digital image data and dealing with various computer vision tasks. Contents: In the lectures theory and methods are presented. The material is illustrated in the tutorial at hand of typical problems in the field. In a study project the students deepen their knowledge about given techniques. Main topics are: Mathematical description of images and basic as well as advanced image filtering operations Algorithms and theory for selected image transformations, e.g. Fourier transform and morphological filters Introduction into a selection of important computer vision tasks and methods, e.g. in optical flow, object detection, object tracking, segmentation Recommended Prerequisites: Knowledge of the content of modules 11113 Mathematik IT-2 (Lineare Algebra)11213 Mathematik IT-3 (Analysis) Mandatory Prerequisites: None Forms of Teaching and Proportion: Lecture / 2 Hours per Week per Semester Exercise / 2 Hours per Week per Semester Study project / 60 Hours Self organised studies / 60 Hours Teaching Materials and Literature: None Module Examination: Prerequisite + Final Module Examination (MAP) Assessment Mode for Module Examination: Prerequisite:Successful completion of study project tasksFinal module examination:Written examination, 90 min. Evaluation of Module Examination: Performance Verification – graded Limited Number of Participants: None Part of the Study Programme: Master (research-oriented) / Artificial Intelligence / PO 2022 Remarks: Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex  „Advanced Methods“ Module Components: None Components to be offered in the Current Semester: