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application of digital image processing and methods

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APPLICATIONS OF DIGITAL IMAGE PROCESSING IN ALL POSSIBLE AREAS ARE MENTIONED AND ALSO STEPS AND METHODS USED FOR PROCESSING OF DIGITAL IMAGES

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application of digital image processing and methods

  1. 1. APPLICATIONS of Digital Image Processing Introduction Presented by: SIRIL SAM ABRAHAM (UR15EC070) ECE DEPARTMENT KARUNYA UNIVERSITY
  2. 2. What is a Digital Image?  A digital image is a numeric representation (normally binary) of a two-dimensional image, called picture elements or pixels
  3. 3. PIXEL  It is the smallest controllable element of an image.  More pixels then more clearer the image  Pixels have different intensity values
  4. 4.  Common image Color-type include: 1 sample per point (B&W or Grayscale) 3 samples per point (Red, Green, and Blue) For most of this presentation we will focus on greyscale images.
  5. 5. Introduction Digital Image Processing is Processing images which are digital in nature.
  6. 6. Introduction  Why do we need Image Processing?  It is motivated by 2 major applications: (i) Improvement of pictorial information for human perception. (ii) Image processing for autonomous machine application. (iii) Efficient storage & transmission.
  7. 7. The continuum from image processing to computer vision can be broken up into low-, mid- and high-level processes Low Level Process Input: Image Output: Image Examples: Noise removal, image sharpening Mid Level Process Input: Image Output: Attributes Examples: Object recognition, segmentation High Level Process Input: Attributes Output: Understanding Examples: Scene understanding, autonomous navigation
  8. 8. Introduction Improvement of pictorial information for human interpretation and analysis. Typical applications:  Noise filtering  Content Enhancement  Contrast enhancement  Deblurring  Remote sensing
  9. 9. Filtering
  10. 10. Image Enhancement
  11. 11. Image Deblurring
  12. 12. Electro-Magnetic Spectrum
  13. 13. IR Imaging (Performance) Thermal / IR view of a Chip
  14. 14. IR Imaging (Natural Calamity) Fig. IR satellite view of Augustine volcano
  15. 15. IR Imaging (Night Vision) Fig. IR image of a sloth at night
  16. 16. IR Imaging (Night Vision) Night vision system used by soldiers
  17. 17. IR Imaging (Weather) Fig. IR Satellite Imagery
  18. 18. IR Imaging (Astronomy) Fig. Nebula NGC 1514 01 in Visible (left) and Infrared (right)
  19. 19. Ultrasound imaging (Medical) Fig. Foetus & Thyroid using ultrasound
  20. 20. UV imaging (Ozone) Fig. Detect ozone layer damage
  21. 21. UV imaging (Sun spots) Fig. Identify sun spots
  22. 22. Examples: Image Enhancement One of the most common uses of DIP techniques: improve quality, remove noise etc
  23. 23. Examples: Industrial Inspection: Human operators are expensive, slow and unreliable Make machines do the job instead Industrial vision systems are used in all kinds of industries Can we trust them?
  24. 24. Examples: Law Enforcement Image processing techniques are used extensively by law enforcers  Number plate recognition for speed cameras/automated toll systems  Fingerprint recognition  Enhancement of CCTV images
  25. 25. Examples: PCB Inspection Printed Circuit Board (PCB) inspection  Machine inspection is used to determine that all components are present and that all solder joints are acceptable  Both conventional imaging and x-ray imaging are used
  26. 26. Examples: Artistic Effects Artistic effects are used to make images more visually appealing, to add special effects and to make composite images
  27. 27. Examples: The Hubble Telescope Launched in 1990 the Hubble telescope can take images of very distant objects However, an incorrect mirror made many of Hubble’s images useless Image processing techniques were used to fix this
  28. 28. Examples: HCI Try to make human computer interfaces more natural  Face recognition  Gesture recognition Does anyone remember the user interface from “Minority Report”? These tasks can be extremely difficult
  29. 29. X-Ray imaging (Medical) Fig. X ray of neck
  30. 30. X-Ray imaging (Medical) Fig. X ray of head
  31. 31. X-Ray imaging (Circuits) Fig. X ray of a Glucose meter circuit
  32. 32. Gamma-Ray imaging: Fig. Gamma ray exposed images
  33. 33. Gamma-Ray imaging (Astronomy) Fig. Gamma ray bursts in space
  34. 34. Remote Sensing Fig. Satellite images of Mumbai suburban(Left) and Gateway of India (Right)
  35. 35. Remote Sensing Satellite images of Taj Mahal
  36. 36. Key Stages in Digital Image Processing Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
  37. 37. Key Stages in Digital Image Processing: Image Aquisition Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
  38. 38. Key Stages in Digital Image Processing: Image Enhancement Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
  39. 39. Key Stages in Digital Image Processing: Image Restoration Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
  40. 40. Key Stages in Digital Image Processing: Morphological Processing Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
  41. 41. Key Stages in Digital Image Processing: Segmentation Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
  42. 42. Key Stages in Digital Image Processing: Object Recognition Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
  43. 43. Key Stages in Digital Image Processing: Representation & Description Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
  44. 44. Key Stages in Digital Image Processing: Image Compression Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
  45. 45. Key Stages in Digital Image Processing: Colour Image Processing Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression
  46. 46. THANK YOU

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