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

Always make a copy of the image before processing!

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