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