Course Catalog 2006-2007

MIT-3216 MEASUREMENT BASED ON DIGITAL IMAGE 1, 5 cr
Measurement Based on Digital Image 1

Courses persons responsible
Heimo Ihalainen

Lecturers
Heimo Ihalainen

Implementations
Person responsible: Heimo Ihalainen
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer
Lecture - 2 h/week - - - -
Exercise - 2 h/week - - - -
Assignment - 16 h/per 16 h/per - - -
Exam  
(Timetable for academic year 2006-2007)

Objectives
This course provides basic understanding of methods for measurements based on digital image, digital image processing and statistical analysis of image information. Exercises and assignments focus on the computational methods for measurements based on digital image.

Content
Content Core content Complementary knowledge Specialist knowledge
1. Various imaging systems and their properties. Representation and compression of digital images.  Basic optics, properties of radiation and noise. Reversible and irreversible packing.   Basic noise statistics. 
2. Image preprocessing methods. Using color images.  Background correction, digital filtering. Color representation.  Bayer-matrix for color images. 
3. Methods developed for machine vision e.g. edge detection, segmentation.  Object location. Edge locations.    
4. Statistical image analysis and texture analysis.  Basic statistics. Analysis based on histograms.  Analysis based on 2D-spectrum. 
5. Computer exercises and assignments cover the above topics in practice.       

Requirements for completing the course
Exercises, assignments and exam.

Evaluation criteria for the course

  • Exercises, assignments and exam.

  • Used assessment scale is numeric (1-5)

    • Study material
    Type Name Auhor ISBN URL Edition, availability... Exam material Language
    Book Digital Image Processing Gonzales, Rafael C. & Woods, Richard E.       Yes  English 

    Prerequisites
    Prequisite relations (Sign up to TUT Intranet required)

    Remarks

  • Partial passing of course must be in connection with the same round of implementation.

  • The course is suitable for postgraduate studies.

    • Distance learning

  • ITC utilized during the course

    • - In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
    - In compiling teaching material, particularly for online use or other electronic media
    - In compiling exercise, group or laboratory work
    - In distributing and/or returning exercise work, material etc
    - In the visualization of objects and phenomena, e.g. animations, demonstrations, simulations, video clips
    - In exams or assessment of knowledge and skill/learning

  • Estimate as a percentage of the implementation of the course

    • - Contact teaching: 40 %
    - Distance learning: 10 %
    - Proportion of a student's independent study: 50 %

    Scaling
    Methods of instructionHours
    Lectures 24
    Exercises 36
    Assignments 34
    Information and communication technology 20

    Study materials Hours
    Online material not in finnish 15

    Other scaledHours
    New tools and study methods 2
    Exam/midterm exam 3
    Total sum 134

    Principles and starting points related to the instruction and learning of the course

  • Course contains work in computer class or with home computer.

    • Last modified 31.03.2006
    Modified byHeimo Ihalainen