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Published byCuthbert Shepherd Modified over 8 years ago
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Image-Pro Premier Basic Training Course Part 7 - Image Enhancements
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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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Always make a copy of the image before processing!
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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
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Filters Process individual pixels based on their environment Used to: enhance or reduce noise Pull out Edges Enhance morphological feature
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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
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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
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Colour Extraction Mono Average Colour Separation
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Background Correction Uneven background can be aesthetically jarring and render analysis difficult Use background Correction to flatten backgrounds by: Subtracting background image Estimating background
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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
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