4. Optimizing image contrast
All the processes described above (fault correction, calibration) are closely linked to the detector and its physical characteristics. For this reason, they are often referred to as "preprocessing". A corrected and calibrated image is called a "clean" image, unlike the "raw" image supplied by the detector. But a "clean" image is not a "clinical" image that can be used by a radiologist. The latter requires additional processing designed to accentuate interesting details and attenuate others. Referred to as post-processing, these corrections are of three types: optimization of relative pixel intensity (i.e. contrast), optimization of sharpness (edge enhancement) and noise filtering. For further details, please refer to
Exclusive to subscribers. 97% yet to be discovered!
Already subscribed? Log in!
Optimizing image contrast
Article included in this offer
"Healthcare technologies"
(
123 articles
)
Updated and enriched with articles validated by our scientific committees
A set of exclusive tools to complement the resources
Bibliography
Exclusive to subscribers. 97% yet to be discovered!
Already subscribed? Log in!