Image Processing: Presentation

Winter term 2004/05 Rolf Ingold Département d'Informatique Université de Fribourg http://diuf.unifr.ch/courses04-05/improc

What is Image Processing ? ƒ

The analysis, manipulation, storage, and display of graphical images such as photographs, drawings, or video

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Used in applications such as ƒ digital photography, ƒ television and film, ƒ medicine, science, ... ƒ military, satellite imaging, astronomy, ... ƒ machine vision in robotics ƒ computer–based pattern recognition ƒ ...

© 2004 Rolf Ingold, University of Fribourg

Terminology ƒ

Levels of image computation ƒ Image Processing : image -> image ƒ Image Analysis : image -> measurements ƒ Image Understanding : image -> symbolic description (topic of Pattern Recognition) ƒ Computer Graphics : symbolic description -> image Infographie

Objets (Description)

Image

Reconnaissance des formes

© 2004 Rolf Ingold, University of Fribourg

Traitement d'image

Issues of image processing ƒ ƒ ƒ ƒ ƒ ƒ

Image capture and digitizing Image coding Image compression Image rendering Image enhancement Image classification and indexing

© 2004 Rolf Ingold, University of Fribourg

Illustration: image enhancement

© 2004 Rolf Ingold, University of Fribourg

Illustration: Image filtering

© 2004 Rolf Ingold, University of Fribourg

Illustration: Edge detection

© 2004 Rolf Ingold, University of Fribourg

Illustration: Color clusters

© 2004 Rolf Ingold, University of Fribourg

Illustration: Segmentation

example from http://cs-people.bu.edu/liulf/demo (Boston university) © 2004 Rolf Ingold, University of Fribourg

Illustration : JPEG compression original size : 512 x 512 x 24 bits = 768KB

326KB

© 2004 Rolf Ingold, University of Fribourg

20KB

Objectives ƒ ƒ ƒ ƒ

Understand the basis of human vision Understand fundamental image processing theory Knowledge of classical image processing methods Implement and evaluate image processing algorithms

© 2004 Rolf Ingold, University of Fribourg

Content of the course ƒ

List of topics ƒ Fundamentals of Image Processing ƒ Human Visual System ƒ Point Operators ƒ Spatial Domain Operators ƒ Frequency Domain Opeartors ƒ Image Coding ƒ Image Segmentation ƒ Edge Detection ƒ Image Binarization ƒ Morphological Operators ƒ Application: Document Image Processing

© 2004 Rolf Ingold, University of Fribourg

Bibliography ƒ

Rosenfeld, Kak, Digital Picture Processing, 2nd edition, 2 volumes, Academic Press, 1982

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Gonzales, Woods: Digital Image Processing, Addison-Wesley, 1992.

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Russ: The Image Processing Handbook, CRC Press, 3rd edition,1999 (4th edition , 2002)

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Watkins, Sadun, Marenka, Modern Image Processing: Warping, Morphing, and Classical Techniques, Academic Press, 1993

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... many others

© 2004 Rolf Ingold, University of Fribourg

Organization ƒ ƒ

Teacher : Rolf Ingold, [email protected], room 2.52, 026 300 84 66 Assistant : Jean-Luc Bloechle, [email protected], room 2.56, 026 300 84 79

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Course : Wednesday, 13:15-14:00 & 14:15-15:00 Exercice : Wednesday, 15:15-16:00 ƒ requirements: 2/3 of series made, 1/2 considered satisfactory Home work : estimated to 5-6 hours per week Software tool : extensible home made image processing environment

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Exam : ƒ oral, 20 minutes, ƒ end of winter term (February 2005) or fall (Oktober 2005) Credits : 5ECTS

© 2004 Rolf Ingold, University of Fribourg