List of Images for DIP with Khoros 2 Course


VIFF Images

  1. 2dfft.viff
    128x128xcomplex 2D DFT of brick slice
  2. angio.viff
    256x256x8: cineangiography (systole ?)
  3. ball.viff
    256x256x8: synthetic image of a ball
  4. barcode.viff
    256x256x8: noisy scanned image of a barcode
  5. blobs.viff
    372x291x8: binary image, microscopic cells
  6. bridge-toledo.viff
    256x256x8: photo of bridge in Toledo, Spain
  7. cathedral.viff
    261x311x8: photo of cathedral in Santiago de Compostela, Spain
  8. cells-tissue-saturate.viff
    256x256x8: microscopic cell tissue
  9. cies.viff
    256x256x8: photo of Cies Island, Spain
  10. drawing.viff
    64x64x8: binary image, synthetic illustrative drawing
  11. echo-mask.viff
    250x200x8: bilevel mask, to use with echo image
  12. echo.viff
    250x200x8: ultrasound image
  13. fourier-pulse.viff
    128x128xfloat: spectrum of pulse
  14. fusca.viff
    256x241x8: photo of VW beatle (fusca) "dark"
  15. gull-color.viff
    256x256x8: color photo of gull
    RGB color space model
  16. gull.viff
    256x256x8: photo of gull
  17. head-slice.viff
    300x180x8: x-tomography of orbital eye slice
  18. head.viff
    256x228xfloat: MRI head slice
  19. ipanema-leblon.viff
    276x201x8: photo of Ipanema-Leblon, RJ, Brazil
  20. istec-map-color.viff
    262x310x8: World Map with ISTEC members
    RGB color space model
  21. la-guardia.viff
    307x205x8: photo of La Guardia, Spain
  22. lenina.viff
    256x256x8: photo of Lenina: daughter of R. Lotufo
  23. log-enhance-problem.viff
    128x128xfloat: spectrum of gaussian image
  24. map-roi.viff
    64x64x8: section of a city map
  25. medruler.viff
    476x335x8: part of a ruler digitized with scanner
  26. moon.viff
    512x512x8: moon photo (used by image processing com.)
  27. mpicchu.viff
    256x256x8: photo of Machu Picchu, Peru
  28. musc1.viff
    256x200x8: microscopic slice of muscle tissue
  29. myelin.viff
    256x256x8: microscopic image of nerve cells
  30. numbers.viff
    162x117x1: synthetic number text image
  31. pieces.viff
    459x414x8: binary image of nails, hooks and tee-pins
  32. retina.viff
    256x256x8: retina
  33. ruler.viff
    512x14x8: synthetic ruler, 512 pixels
  34. spect-heart.viff
    64x64x8: nuclear medicine image, axial slice of heart
  35. spine.viff
    256x228xfloat: MRI spine
  36. unicamp-logo.viff
    75x77x8: logo of Unicamp
  37. bi24hd.viff
    3x1xdouble: biorthogonal filter with 2 zeros at PI
    forward highpass filter
  38. bi24ld.viff
    9x1xdouble: biorthogonal filter with 4 zeros at PI
    forward lowpass filter
  39. bi24hi.viff
    9x1xdouble: biorthogonal filter with 2 zeros at PI
    inverse highpass filter
  40. bi24li.viff
    3x1xdouble: biorthogonal filter with 4 zeros at PI
    inverse lowpass filter

VIFF volumes

  1. bluntfin.viff
    40x32x32xfloat: bluntfin (synthetic model)

VIFF signals

  1. heart-beat-signal.viff
    701x1xdouble: one period of heart beat

VIFF Color Tables

  1. exp-256-lut.viff
    1x256x8 exponential color table
  2. log-256-lut.viff
    1x256x8 logarithmic color table

ASCII data

  1. unicamp-lut.ascii
    RGB table: for coloring Unicamp logo
  2. laplacian.ascii
    3x3 Laplacian kernel
  3. prewitt_x.ascii
    3x3 Prewitt x_gradient kernel
  4. prewitt_y.ascii
    3x3 Prewitt y_gradient kernel
  5. sobel_x.ascii
    3x3 Sobel x_gradient kernel
  6. sobel_y.ascii
    3x3 Sobel y_gradient kernel
  7. isotropic_x.ascii
    3x3 Isotropic x_gradient kernel
  8. isotropic_y.ascii
    3x3 Isotropic y_gradient kernel
  9. roberts_x.ascii
    2x2 Roberts x_gradient kernel
  10. roberts_y.ascii
    2x2 Roberts y_gradient kernel
  11. daub2hd.ascii
    Order 2 (No. Coeff. 4) Highpass Forward Daubechies Filter
  12. daub2ld.ascii
    Order 2 (No. Coeff. 4) Lowpass Forward Daubechies Filter
  13. daub2hi.ascii
    Order 2 (No. Coeff. 4) Highpass Inverse Daubechies Filter
  14. daub2li.ascii
    Order 2 (No. Coeff. 4) Lowpass Inverse Daubechies Filter

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Copyright © 1995 KRI, ISTEC, Ramiro Jordán, Roberto Lotufo. All Rights Reserved.