Share Email Print

Proceedings Paper

Digital X-Ray Enhancement Through Local Difference Equalization
Author(s): G. Garibotto
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In most application of diagnostic imaging the amount of digitized information (up to 4096 grey levels per pixel) cannot be detected by the human observer as a whole, so that it is common practice to interactively select a suitable intensity window for the display, sometimes with saturation effects. To overcome this problem many different contrast stretching approaches have been proposed, to almost equalize the diagnostic information on the image. The solution proposed here is based on a non-linear transformation, acting as an adaptive histogram equalization of the local differences, in the hypothesis of gaussian distributions. The obtained results are closely related to other enhancement methods, with some advantage in the look-up filter implementation. The computational cost of the realization is evaluated, as well as the loss of performance determined by suboptimal block-processing and bilinear interpolation. Examples are referred in the contrast enhancement of C.T. images and digitized X-Rays.

Paper Details

Date Published: 5 May 1986
PDF: 6 pages
Proc. SPIE 0593, Medical Image Processing, (5 May 1986); doi: 10.1117/12.952165
Show Author Affiliations
G. Garibotto, 3M Italia Ricerche S.p.A. (Italy)

Published in SPIE Proceedings Vol. 0593:
Medical Image Processing
Paul Suetens; Ian T. Young, Editor(s)

© SPIE. Terms of Use
Back to Top