Module description

Image Processing

Teaching methods Lecture/lab
Duration 1 Semester
Hours per week 6.0
Overview
  • Classes:90 h
  • Individual/
    Group work:120 h

  • Workload:210 h
ECTS 7.0
Max. participants 0
Recommended semester 1
Frequency Annually (ss)
Lectures Digitale Bildverarbeitung
Type Lecture
Nr. E+I2229
Hours per week 3.0
Labor Digitale Bildverarbeitung
Type Lab/studio
Nr. E+I2231
Hours per week 1.0
Dreidimensionale Bildverarbeitung
Type Lecture/seminar
Nr. E+I2230
Hours per week 2.0
Lecture contents

• Analytical geometry for describing three-dimensional space, in particular rigid transformations and homogeneous coordinates
• Quaternions
• OpenGL transformations
• Stereoscopy and Photogrammetry: Camera Calibration, Epipolar Geometry, Rectification
• Landmarks, surface and voxel-based algorithms for the registration of three-dimensional image data sets
• Pixel, voxel, and edge-based segmentation algorithms
• Application of Voronoi diagrams and Delaunay triangulation in three-dimensional surface reconstruction
• Surface and volume rendering
• Hough transformation, distance transformation
• Wavelets
• Splines
• Selected algorithms of three-dimensional image processing (Marching Cubes Algorithm and others)

Literature

Handels, H., Medizinische Bildverarbeitung - Bildanalyse, Mustererkennung und Visualisierung für die computergestützte ärztliche Diagnostik und Therapie, Vieweg+Teubner Verlag, 2. überarbeitete und erweiterte Auflage, 2009

Schreer, O., Stereoanalyse und Bildsynthese, Springer, 2005

Jähne, B., Digitale Bildverarbeitung, Springer, 7. neu bearbeitete Auflage, 2012

Gonzalez, R. C., Woods, R. E., Digital Image Processing, Addison Wesley, 3rd International edition, 2008

Dougherty, G., Digital Image Processing for Medical Applications, Springer, 2011

Demant, C., Streicher-Abel, B., Springhoff, A., Industrielle Bildverarbeitung, Springer, 3. Auflage, 2011


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