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DEVELOPMENT OF AN AUTOMATED 12‐8 BIT CONVERSION ALGORITHM FOR DISPLAYING AND ARCHIVING SCANNED RADIOGRAPHS
Author(s) -
Hornof William J.,
Ballance Dennis W.,
Nyland Thomas G.,
Koblik Phillip D.,
CrabbHartman Angela
Publication year - 1999
Publication title -
veterinary radiology and ultrasound
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.541
H-Index - 60
eISSN - 1740-8261
pISSN - 1058-8183
DOI - 10.1111/j.1740-8261.1999.tb01906.x
Subject(s) - grayscale , computer vision , gray (unit) , histogram equalization , artificial intelligence , histogram , image quality , computer science , computer graphics (images) , medicine , pixel , image (mathematics) , nuclear medicine
The lossless capture of the entire range of optical densities encountered in a radiograph can require up to 4000 individual shades of gray. Most inexpensive computer displays, and most grayscale image formats contain only 256 gray shades. To use these systems, a look up table must be generated to display the scanned image, which maps the approximately 4000 gray shades in the digitized radiograph to the 256 gray shades on the monitor, However, if this conversion is inappropriately performed, much of the information contained in the original image could be lost. This study was undertaken to develop an histogram equalization algorithm that would automatically convert the 4000 gray shade digitized radiograph into a 256 gray shade image file, without perceptable loss of diagnostic information or image quality.