DocumentCode :
929388
Title :
An evaluation of the effectiveness of adaptive histogram equalization for contrast enhancement
Author :
Zimmerman, John B. ; Pizer, Stephen M. ; Staab, Edward V. ; Perry, J. Randolph ; McCartney, William ; Brenton, Bradley C.
Author_Institution :
Dept. of Comput. Sci., Washington Univ., St. Louis, MO, USA
Volume :
7
Issue :
4
fYear :
1988
Firstpage :
304
Lastpage :
312
Abstract :
Adaptive histogram equalization (AHE) and intensity windowing have been compared using psychophysical observer studies. Experienced radiologists were shown clinical CT (computerized tomographic) images of the chest. Into some of the images, appropriate artificial lesions were introduced; the physicians were then shown the images processed with both AHE and intensity windowing. They were asked to assess the probability that a given image contained the artificial lesion, and their accuracy was measured. The results of these experiments show that for this particular diagnostic task, there was no significant difference in the ability of the two methods to depict luminance contrast; thus, further evaluation of AHE using controlled clinical trials is indicated.<>
Keywords :
computerised tomography; picture processing; adaptive histogram equalization; artificial lesions; chest CT images; contrast enhancement; diagnostic task; intensity windowing; luminance contrast; Adaptive equalizers; Computed tomography; Computer science; Displays; Dynamic range; Histograms; Hospitals; Lesions; Psychology; Radiology;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.14513
Filename :
14513
Link To Document :
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