May 25, 2004
Digital Image Processing with
NIH Image (Mac) / Scion Image (PC) / ImageJ
David S. Bright
Surface and Microanalysis Science Division
National Institute of Standards and Technology
Gaithersburg, MD 20899-8371
  1. Preliminary Information
    1. Downloading Image
    2. Differences between the Image (Mac) and Scion Image (PC)
    3. ImageJ is not intended to look exactly like NIH Image.  Instructions specific to ImageJ are in green.
  2. Introduction to ImageIntroduction to IMAGEJ
  3. Noise removal
    1. Shot noise - add and remove with median filter.
    2. Visual Comparison of mean and median filters
  4. Histograms, .
    1. Basic Histogram, cutting and pasting images, pixel and LUT inversion, contrast enhancement.
    2. Histograms after Filtering (with comments on Signal-to-Noise)
  5. Image Size (Scale & Rotate)
  6. Image Aspect Ratio
  7. Flatten Illumination (background subtraction)
  8. Illusions
    1. Inversion (black and white vs. up and down)
    2. Mach Bands
    3. Background level
    4. Arc Radius (illustrates drawing with Image).
  9. Sharpen (Laplacian or Unsharp Masking)
  10. RGB Color
    1. RGB Tiff Example (tree). Loading a 24 bit color image into a stack.
    2. Koala Example. Making an 8 bit color image from three gray level images.
    3. Xray Maps Example. Loading and tiling seven small gray level images. Making an 8 bit color image from three of them.
  11. Stacks
    1. Macros
    2. Boron Stack (including Stereo Analyglyph)
  12. Measurement
    1. Percent Area & Particle sizing.
    2. Length and Angle
    3. Line Spacing
    4. Watershed Segmentation (Separates Touching Particles)
  13. Additional Exercises
    1. False color
    2. Convolve
    3. FFT
      1. Square Image for FFT
      2. Parallel lines in SRM484
      3. Deblurring (deconvolution)
      4. Flatten Illumination (FFT Low Cut Filtering.)
    4. Importing Files
  14. Problems
  15. Image processing References