Image processing- an introduction

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This is just a small introduction to image processing...

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Image processing- an introduction

  1. 1. Image processing involves processingor altering an existing image in a desiredmanner.The next step is obtaining an image ina readable format.The Internet and other sources providecountless images in standard formats.
  2. 2. Since the digital image is “invisible” it must be preparedfor viewing on one or more output device (laserprinter,monitor,etc)The digital image can be optimized for the application byenhancing or altering the appearance of structures withinit (based on: body part, diagnostic task, viewingpreferences,etc)It might be possible to analyze the image in thecomputer and provide cues to the radiologists to helpdetect important/suspicious structures (e.g.: ComputedAided Diagnosis, CAD)
  3. 3. Scientific instruments commonly produceimages to communicate results to theoperator, rather than generating an audibletone or emitting a smell.Space missions to other planets and CometHalley always include cameras as majorcomponents, and we judge the success of thosemissions by the quality of the images returned.
  4. 4. Image-to-informationtransformationsImage-to-imagetransformationsInformation-to-imagetransformations
  5. 5. Enhancement (make image more useful, pleasing)RestorationEgg. deblurring ,grid line removalGeometry(scaling, Zooming, Morphing one object toanother).
  6. 6. Decompression of compressed image data.Reconstruction of image slices from CT orMRI raw data.Computer graphics, animations and virtualreality (synthetic objects).
  7. 7. Clustering….Similar data points grouped together into clusters.
  8. 8. Segmented with 4 clustersOriginal ImageSegmented with 6 clusters
  9. 9. Original Image 2 clusters4 Clusters 6 Clusters
  10. 10. Document Imaging
  11. 11. Signature Verification
  12. 12. Biometrics
  13. 13. Interpretation of AerialPhotography
  14. 14. Fingerprint IdentificationResearch at UNRMinutiae MatchingDelaunayTriangulation
  15. 15. Face Detection
  16. 16. Face Recognition
  17. 17. Astronomy ApplicationsResearch at UNR
  18. 18. In electrical engineering and computerscience, image processing is any form ofsignal processing for which the input isan image, such as photographs orframes of video; the output of imageprocessing can be either an image or aset of characteristics or parametersrelated to the image. Most image-processing techniques involve treatingthe image as a two-dimensional signaland applying standard signal-processingtechniques to it.

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