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CSE
Fall 2008
Lecture 3
Introduction (continued)
Matlab and the Image Processing Toolbox
Today
• Introduction continued
• Matlab and the Image Processing Toolbox
Assignments
• Read Chap. 2 except section 2.6.7 by Wed.
CV applications
• Multiple cameras
– Panoramas
– Depth from stereo
– 3D scene reconstruction
– Photo Tourism
http://phototour.cs.washington.edu/
– (aka PhotoSynth at Microsoft)
My current research projects
• Online analysis of geographic imagery
using interest points.
My current research projects
• Imaging for monitoring air pollution
• http://airnow.gov/
• http://www.phoenixvis.net/index.html
• $75,000 grant from CITRIS
– Center for Information Technology Research in
the Interest of Society
– UC Berkeley, Merced, Santa Cruz, Davis
Imaging for monitoring air pollution
From: W.C. Malm, “Introduction to Visibility,” Cooperative Institute for Research in the Atmosphere, 1999.
June 26: PM2.5=75 μg/m^3 June 27: PM2.5=105 June 28: PM2.5=
June 29: PM2.5=25 June 30: PM2.5=14 July 1: PM2.5=
July 2: PM2.5=18 July 3: PM2.5=6 July 4: PM2.5=
My current research projects
• Using eye-tracking to understand how humans view
(geographic) imagery
• National Science Foundation grant
- Acquisition of Equipment to Establish a Cognitive Sensorium and Visualization Facility at UC Merced
- $250,
- Professors Marcelo Kallmann (PI), Teenie Matlock (co-PI) and Shawn Newsam (co-PI)
My current research projects
• Using eye-tracking to understand how humans
view (geographic) imagery
Powerwall
Eye tracker
Digital Image Processing, 3rd ed.Digital Image Processing, 3rd ed. www.ImageProcessingPlace.com
© 1992–2008 R. C. Gonzalez & R. E. Woods
Gonzalez & Woods Chapter 1 Introduction
Chapter 1 Introduction
• Just what is an image?
– What does it represent?
– How can it be represented?
Digital Image Processing, 3rd ed.Digital Image Processing, 3rd ed. www.ImageProcessingPlace.com
© 1992–2008 R. C. Gonzalez & R. E. Woods
Gonzalez & Woods Chapter 1 Introduction
Chapter 1 Introduction
• An image may be defined as a 2D function
where x and y are the spatial coordinates
and the value (amplitude) of f at any pair of
coordinates ( x , y ) is called the intensity of
the image at that point.
f ( , x y )
© 1992–2008 R. C. Gonzalez & R. E. Woods
X-Ray Imaging
© 1992–2008 R. C. Gonzalez & R. E. Woods
Imaging in the Ultraviolet Band
© 1992–2008 R. C. Gonzalez & R. E. Woods
Imaging in the Visible and Infrared Bands
© 1992–2008 R. C. Gonzalez & R. E. Woods
Imaging in the Visible and Infrared Bands
© 1992–2008 R. C. Gonzalez & R. E. Woods
Imaging in the Visible and Infrared Bands
© 1992–2008 R. C. Gonzalez & R. E. Woods
© 1992–2008 R. C. Gonzalez & R. E. Woods
Imaging in the Visible and Infrared Bands
© 1992–2008 R. C. Gonzalez & R. E. Woods
Imaging in the Visible and Infrared Bands
© 1992–2008 R. C. Gonzalez & R. E. Woods
Imaging in the Microwave Band
© 1992–2008 R. C. Gonzalez & R. E. Woods
Imaging in the Radio Band
© 1992–2008 R. C. Gonzalez & R. E. Woods
Other Imaging Modalities: Sound
© 1992–2008 R. C. Gonzalez & R. E. Woods
Other Imaging Modalities: Sound
Matlab overview
• Matlab toolboxes – specialized functionality for
additional cost
- Image processing toolbox
- Optimization toolbox
- Statistics toolbox
- Neural network toolbox
- Control system toolbox
- Bioinformatics toolbox
- Data acquisition toolbox
- …
Matlab overview
• Advantages
– Lots of built-in functionality especially via
toolboxes
– Math-like
– Good visualization
– Good for learning and prototyping
• Disadvantages
– Can be slow
– Not free
