t.BA.XX.BV.06HS (Image Processing) 
Module: Image Processing
This information was generated on: 20 April 2024
No.
t.BA.XX.BV.06HS
Title
Image Processing
Organised by
T ISC
Credits
4

Description

Version: 4.0 start 01 February 2017

Module Co-ordinator:

 Name, Vorname (Kurzzeichen) 
Rupf Marcel (Rumc)

Learning objectives:
Objectives Competences Taxonomy level
see Germain  module    
     
     
     

Module Contents:

 - digital image fundamentals
(visual perception, image sensing and acquisition, application areas)
- image enhancement in the spatial domain
(grey level transformation, spatial filtering e.g. for image sharpening)
- image enhancement in the frequency domain
(2D DFT/FFT, filtering, low- and high-pass filtering)
- image restoration
(of noisy, blurred images, geometric transformations)
- color image processing
(color models, color transformations, color segmentation)
- morphological image processing
(extraction of image components based on particular shapes)
- image segmentation
(segmentation in regions and objects, edge detection, thresholding)
- object description
(for further computer-based processing)
- image recognition
(classification based on patterns)
 

Literature:

 R.C. Gonzalez, R. E. Woods, "Digital Image Processing", Pearson, 2002.
slides, excercises and lab instructions, please cf. www.zhaw.ch/~tham

Supplementary literature:

  

Prerequisites:

  

Teaching Language:

 English

Module structure:
Type of Lesson Number of lessons per week:
Lecture: 2 lessons per week
Labs: 2 lessons per week
Block course:  

Exams:

 The regulation about the graded assignments is binding. A deviation from the regulation is permitted if it is provided in written form by the lecturer in the first week of the semester.
description Type Form Scope Grade Weighting
Graded assignments during teaching semester mini project written
oral		 report
demo		 grading 12%
Graded assignments during teaching semester labs certificate result testing 10of12
labs		 grading 14%
Graded assignments during teaching semester midterm
exam		 written 45' grading 14%
End-of-semester exam exam written 90' grading 60%

Remarks:

  

Note

Course: Bildverarbeitung - Praktikum
No.
t.BA.XX.BV.06HS.P
Title
Bildverarbeitung - Praktikum

Note

  • No module description is available in the system for the cut-off date of 20 April 2024.

Application

This course is offered within the following additional modules:

Module no.Title
t.ET-5-53-02Fachspezifische Vertiefung Elektrotechnik
Course: Bildverarbeitung - Vorlesung
No.
t.BA.XX.BV.06HS.V
Title
Bildverarbeitung - Vorlesung

Note

  • No module description is available in the system for the cut-off date of 20 April 2024.

Application

This course is offered within the following additional modules:

Module no.Title
t.ET-5-53-02Fachspezifische Vertiefung Elektrotechnik