Module Handbook

  • Dynamischer Default-Fachbereich geändert auf INF

Module INF-73-53-M-6

2D Image Processing (M, 4.0 LP)

Module Identification

Module Number Module Name CP (Effort)
INF-73-53-M-6 2D Image Processing 4.0 CP (120 h)

Basedata

CP, Effort 4.0 CP = 120 h
Position of the semester 1 Sem. in WiSe/SuSe
Level [6] Master (General)
Language [EN] English
Module Manager
Lecturers
Area of study [INF-KI] Intelligent Systems
Reference course of study [INF-88.79-SG] M.Sc. Computer Science
Livecycle-State [NORM] Active

Courses

Type/SWS Course Number Title Choice in
Module-Part
Presence-Time /
Self-Study
SL SL is
required for exa.
PL CP Sem.
2V+1U INF-73-53-K-6
2D Image Processing
P 42 h 78 h
U-Schein
ja PL1 4.0 WiSe/SuSe
  • About [INF-73-53-K-6]: Title: "2D Image Processing"; Presence-Time: 42 h; Self-Study: 78 h
  • About [INF-73-53-K-6]: The study achievement "[U-Schein] proof of successful participation in the exercise classes (ungraded)" must be obtained.
    • It is a prerequisite for the examination for PL1.

Examination achievement PL1

  • Form of examination: written exam (Klausur) (60-180 Min.)
  • Examination Frequency: each semester
  • Examination number: 67353 ("2D Image Processing")

Evaluation of grades

The grade of the module examination is also the module grade.


Contents

  • Imaging
  • Digital Color Images
  • Filters
  • Point, Line, Blobs detection
  • Feature descriptors
  • Matching and Tracking
  • Object and Pattern Recognition

Competencies / intended learning achievements

Upon successful completion of the module, students will be able to
  • apply engineering methods and techniques in practice and to apply advanced knowledge in the field of image processing (especially regarding filters, operators for feature extraction, description of features, recognition),
  • evaluate the algorithms and methods used in the project as well as mathematical approaches to 2D image processing,
  • familiarize themselves with existing software libraries to implement the project
  • use development, management and testing tools,
  • work in a team in a complete development and test cycle,
  • independently define requirements for a system solution according to heuristic criteria
  • divide agreed and self-chosen tasks into subtasks and to work on them together in a cooperative manner,
  • estimate and plan the project effort in detail and to use resources in a goal-oriented way,
  • document and manage work results comprehensively and accurately and to present results
  • present a specialist lecture using suitable media to a heterogeneous specialist audience,
  • lead and moderate a well-founded discussion on the chosen topic based on a technical lecture,
  • assess one's own scope for action and decision-making and the responsibility associated with it and, if necessary, to obtain specific information,
  • define priorities, derive tasks, develop solutions and monitor progress
  • recognize misunderstandings and role conflicts in communication situations at an early stage and to contribute to conflict resolution,
  • argue goal-oriented in controversial discussions and to deal with criticism objectively,
  • participate constructively and actively in heterogeneous working groups,
  • represent independent points of view and, if necessary, points of view that differ from others in a very comprehensible way and to argue plausibly and convincingly,
  • frequently lead, instruct and motivate a working group, to lead heterogeneously composed groups responsibly and to represent work results to third parties,
  • develop their own professional, methodological, technological, interdisciplinary, social and personal skills independently

Literature

  • Richard Szeliski: Computer Vision: Algorithms and Applications
  • Rafael C. Gonzalez, Richard E. Woods: Digital Image Processing
  • von Milan Sonka, Vaclav Hlavac, Roger Boyle: Image Processing, Analysis and Machine Vision (Englisch) Gebundene Ausgabe – 30. September 1998

Requirements for attendance of the module (informal)

None

Requirements for attendance of the module (formal)

None

References to Module / Module Number [INF-73-53-M-6]

Course of Study Section Choice/Obligation
[INF-88.79-SG] M.Sc. Computer Science [Specialisation] Specialization 1 [WP] Compulsory Elective
Module-Pool Name
[EIT-AC-MSC-TW-MPOOL-7] General Elective Modules Master A&C
[GS-CVT-CS-2022-E-MPOOL-6] Catalog Electives Computer Science 2022
[GS-CVT-CS-E-MPOOL-6] Catalog Electives Computer Science