J
John B. Zimmerman
Researcher at University of Washington
Publications - 16
Citations - 3865
John B. Zimmerman is an academic researcher from University of Washington. The author has contributed to research in topics: Adaptive histogram equalization & Image processing. The author has an hindex of 12, co-authored 16 publications receiving 3150 citations. Previous affiliations of John B. Zimmerman include Washington University in St. Louis & University of North Carolina at Chapel Hill.
Papers
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Journal ArticleDOI
Adaptive histogram equalization and its variations
Stephen M. Pizer,Stephen M. Pizer,E. Philip Amburn,E. Philip Amburn,John D. Austin,Robert Cromartie,Ari Geselowitz,Ari Geselowitz,Trey Greer,Bart M. ter Haar Romeny,John B. Zimmerman,John B. Zimmerman +11 more
TL;DR: It is concluded that clipped ahe should become a method of choice in medical imaging and probably also in other areas of digital imaging, and that clip ahe can be made adequately fast to be routinely applied in the normal display sequence.
Journal ArticleDOI
An evaluation of the effectiveness of adaptive histogram equalization for contrast enhancement
John B. Zimmerman,Stephen M. Pizer,Edward V. Staab,J. R. Perry,W. H. McCartney,B. C. Brenton +5 more
TL;DR: 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.
Journal Article
Adaptive grey level assignment in CT scan display.
TL;DR: A method is described that automatically adapting the assignment of displayable grey levels to CT numbers in a way that varies smoothly across the image according to local needs for the presentation of contrast.
Journal ArticleDOI
The apache III prognostic system: customized mortality predictions for Spanish ICU patients
R. Rivera-Fernández,Guillermo Vázquez-Mata,Manuel Bravo,E. Aguayo-Hoyos,John B. Zimmerman,Douglas P. Wagner,William A. Knaus +6 more
TL;DR: This adapted model has demonstrated the requisite validation, calibration, and discrimination for its use among Spanish critical care patients for APACHE III mortality prediction system for the Spanish population.
Proceedings ArticleDOI
Adaptive Histogram Equalization For Automatic Contrast Enhancement Of Medical Images
TL;DR: A new contrast limited form of ahe appears to allow its application to a wide variety of medical images, and a VLSI machine design is presented that will allow the calculation of a he in a fraction of a second per megapixel.