Share Email Print

Proceedings Paper

Optimized algorithm for adaptive histogram equalization
Author(s): Thurman Gillespy III
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Adaptive histogram equalization (AHE) is a useful technique for expanding local contrast in medical images. The method is based on histogram equalization of each pixel based on a local NXN image region. If the number of pixels in the NXN local region is equal to the number of grayshades in the image, the equalized histogram can be directly constructed from the distribution histogram. This optimization may permit AHE to be performed on standard medical image display workstations.

Paper Details

Date Published: 24 June 1998
PDF: 4 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310830
Show Author Affiliations
Thurman Gillespy III, Univ. of Washington (United States)

Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?