Pixel processing (DRAFT, topic is treated in global background)

Learning Objectives

After completing this lesson, learners should be able to:

Motivation

Concept map




Figure




Pixel processing

  graph TD
     PV(pixel values) --> PO(processing operation)
     PO -.- |e.g.| SV(subtract value)
     PO --> |replaces| PV(pixel values)
  graph TD
     PV("pixel values") --> MO("processing operation")
     MO --> NPV("new image")
  graph TD
     PO("processing operation") --> |changes| PV(pixel values)
     DT("data type") --> |limits| PV

Activity: Pixel based background subtraction

  • Open image: xy_8bit__nuclei_noisy_different_intensity.tif
  • Appreciate the significant background intensity
  • Measure pixel values at [ 28, 35 ] and [ 28, 39 ]
  • Measure the image background intensity in this region:
    • upper left corner at [ 20, 35 ]
    • width = 10
    • height = 10
  • Subtract the measured background intensity from each pixel.
  • Measure the pixel values again.
  • Observe that the resuls are incorrect.

Repeat above activity, but:

  • After opening the image, convert its data type to floating point.

Activity: Explore the limitations of float data type

  • Create an empty image
  • Set all pixel values to 1000000000.0
  • Add 1.0 to all pixel values
  • Be shocked…

…it turns out that from 16777216 on you cannot represent all integers anymore within a float.

Formative Assessment

True or false?

  • Subtracting 100 from 50 in a 8-bit image will result in -50.
  • Adding 1 to 255 in a 8-bit image will result in 256.
  • Subtracting 10.1 from 10.0 in a float image will result in -0.1
  • Adding 1.0 to 255.0 in a float image will result in 256.0
  • Adding 1000.0 to 1000000000.0 in a float image will result in 1000001000.0

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Follow-up material

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