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Image-Pro Premier Basic Training Course. Part 7 - Image Enhancements. Image Enhancements. Enhancements can be made for several reasons: Aesthetics Functionality Practicality If the image is modified, the process must be: Systematic Justifiable.
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Image-Pro PremierBasic Training Course • Part 7 - Image Enhancements
Image Enhancements • Enhancements can be made for several reasons: • Aesthetics • Functionality • Practicality • If the image is modified, the process must be: • Systematic • Justifiable
Display Enhancement • Use Look-Up Tables to adjust how pixels are displayed on the screen • Non-destructive unless applied • Doesn’t generally improve ability to analyse images
Filters • Process individual pixels based on their environment • Used to: • enhance or reduce noise • Pull out Edges • Enhance morphological feature
Masks • Create binary images for processing • Can be used to extract further information from objects • Use from Count/Size to fill holes or add smoothing
Colour Extraction • Colour increases the complexity of analysis • Colour isn’t always necessary or useful • Colour images can be converted to mono from the Adjust ribbon by either: • Extracting colour channels • Averaging information from all channels
Colour Extraction Mono Average Colour Separation
Background Correction • Uneven background can be aesthetically jarring and render analysis difficult • Use background Correction to flatten backgrounds by: • Subtracting background image • Estimating background
Colour Composites • Fluorescence imaging is typically monochrome • Multiple images are taken separately from the same sample • Colour composites recombine multiple monochrome images into a single workspace