title: Development of an automated 12-8 bit conversion algorithm for displaying and archiving scanned radiographs.
abstract: 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.
authors.affiliation: Department of Surgical and Radiological Sciences, School of Veterinary Medicine, Univ. of California, Davis 95616, USA.
authors.forename: W J
authors.initials: WJ
authors.lastname: Hornof
authors.forename: D W
authors.initials: DW
authors.lastname: Ballance
authors.forename: T G
authors.initials: TG
authors.lastname: Nyland
authors.forename: P D
authors.initials: PD
authors.lastname: Koblik
authors.forename: A
authors.initials: A
authors.lastname: Crabb-Hartman
mesh_terms: D000465:Algorithms; D003201:Computers; D011856:Radiographic Image Enhancement / Q000295:instrumentation* / Q000379:methods*