DIPS
Digital Image Processing Simulator


Details

DIPS is primarily aimed at introductory digital image processing courses in remote sensing.DIPS covers a core body of digital image processing concepts. DIPS has been specifically designed to expose detailed calculations of image processing algorithms using small sample images. The users ( students and teachers) can change these small sample images to build their own examples and add to the pool of exercises. Concepts covered by DIPS include :
  • Additive and Subtractive Primary Colours
  • Display of Colour on Multiband Digital Images
  • Gun Band Assignments
  • Linear Contrast Stretching
  • BSQ,BIL and BIP Digital Data formats
  • Line dropout and Salt and Pepper noise removal
  • Operation of Low Pass and high pass convolution filters
  • Image Ratioing
  • Normalized Vegetation Difference Index
  • Image Differencing (subtraction)
  • Linear Edge Enhancement
  • Density Slicing
  • Supervised Classification
    • Signature Definition
    • Minimum Distance to Mean Classifier
    • Parallelepiped Classifier
    • Comparison of Classification Outputs
  • Accuracy Assessment
    • Random Selection of Pixels on Classified and Ground maps
    • Computation of Error Matrix and % Correct
    • Omission and Commission Errors
    • Computation of Kappa Statistic
DIPS permits changes of Image Values, filter kernel values etc such that users can build their own examples. There is a text based help for each module and a set of exercises which act like a guided tour to the sofware and tries to lead towards an in-depth view of the concept.The complete MS Word help file containing all help screens and exercises can be downloaded from the main page of this site. Most screens are however quite intutive and should not require reference to help screens. If more exercises become available by way of contributions from users, I plan to post them on this site.



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