Image Algebra and Manipulation IAM UNIX Library

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Image Algebra and Manipulation (IAM) UNIX Library

• Programmer Dmitriy Bernsteyn
• Advisor Mark S. Schmalz

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IAM

• IAM is image manipulation utility that can
  perform different algebraic functions as well as
  gather statistical information on images of
  various formats such as
• jpg, gif, tif, art, bmp, and etc.
• IAM website with week-by-week progress
• http//www.cise.ufl.edu/db0/

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Topics of Discussion

• What is IAM?
• How is it different?
• How Does IAM Execute?
• What can IAM do?
• Applications of IAM
• IAMs Future

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What is IAM?

• IAM is Image Algebra and Manipulation Library for
  Unix
• IAM is written in ANSI C, so its portable
• Similar utilities and programs are
• Adobe Photoshop
• ImageMagick
• ENVI

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How is It Different?

• It is a Command Line driven
• Its Cheap
• ImageMagick 12,000 for license
• Adobe Photoshop 300 per package
• IAM FREE
• Its Functional, designed for Growth and Expansion

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How Does IAM Execute?

• Unix Shell Executable
• Command line
• Scripts
• CGI Interface on the web
• http//www-pub.cise.ufl.edu/db0/form.cgi

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What Can IAM Do?

• Currently
• IAM supports 20 different operations
• IAM supports 3 types of operations
• Image Modifying Operations
• Single Image Operations
• Multi Image Operations
• Statistical Operations
• Convolution Operations

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Image Modifying Operations

• Single Image Operations
• Sine
• Log
• Gray
• Threshold
• Component Labeling

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Image Modifying Operations

• Multi Image Operations
• Addition
• Subtraction
• Multiplication
• Division
• Examples available on web at
• http//www.cise.ufl.edu/db0/sample_images.html

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Statistical Operations

• RMSE Root Mean Square Error
• RMSEGRID RMSE Grid Table
• RMSEGRID01 RMSE Grid Percentage Table
• FTRUTH Pixel-by-Pixel Comparison
• CTRUTH Component Based Comparison

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Convolution Operations

• What can Convolution Operations Do?
• Invert
• Emboss
• Blur
• Any combination of the above
• Examples available on web at
• http//www.cise.ufl.edu/db0/sample_images.html

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Convolution Operations

• Generic Convolution
• Additive Maximum
• Additive Minimum
• Multiplicative Maximum
• Multiplicative Minimum

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Convolution Operations

• Template Options
• 3x3
• 5x5
• File
• Variable Size Template
• Movable Target Pixels

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Some of Applications of IAM

• Research
• Environmental Science
• Different fields of Science and Engineering
• Doctors/Dentist
• Army
• Fun
• Photo Editing

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Future Updates to IAM

• More Algebraic and Statistical routines
• Image Enhancement routines
• Signal Processing routines
• Incorporation of Matlab matrices instead of C
  double image_arrays

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References

• Ballard, D.H. Computer Vision, Englewood Cliffs,
  NJ
• Prentice-Hall (1982).
• Chu, Peter. 6.2 Root-Mean-Square Error. 17 Aug.
  2003.
• ltwww.oc.nps.navy.mil/chu/web_paper/jtech/Geomet/n
  ode25.htmlgt.
• Gonzalez, R.C. and P. Wintz. Digital Image
  Processing.
• Reading, MA Addison-Wesley, Second Edition
  (1987).
• Research Systems, Inc. ENVI from images to
  information. 14 Apr. 2003
• lthttp//www.rsinc.com/envi/index.aspgt.
• Ritter, G.X. and J.N. Wilson. Handbook of
  Computer Vision Algorithms in
• Image Algebra, Boca Raton, FL CRC Press Second
  Edition (2001).

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Image Algebra and Manipulation (IAM) UNIX Library
The END

• Programmer Dmitriy Bernsteyn
• Advisor Mark S. Schmalz