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Proceedings Paper

Detection of skin line in computed radiographs for improved tone scale
Author(s): Robert A. Senn; Lori L. Barski
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Paper Abstract

An algorithm for the detection of the skin-line transitions in computed radiographic imagery is presented. Knowledge of the gray-level values associated with the skin-line transition can be utilized by a tone-scaling algorithm to prevent the loss of visibility of the skin line. Features associated with the line profile of the significant transitions are used to identify the kin-line transition in digital radiographs. A Gaussian maximum likelihood classifier is used to separate the skin-line transitions from those associated with the background-foreground, background-hardware, and other significant transitions. Results are presented for a set of operational computed radiography exams.

Paper Details

Date Published: 25 April 1997
PDF: 10 pages
Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); doi: 10.1117/12.274092
Show Author Affiliations
Robert A. Senn, Eastman Kodak Co. (United States)
Lori L. Barski, Eastman Kodak Co. (United States)

Published in SPIE Proceedings Vol. 3034:
Medical Imaging 1997: Image Processing
Kenneth M. Hanson, Editor(s)

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