Detection of skin line in computed radiographs for improved tone scale

Robert A. Senn; Lori L. Barski

doi:10.1117/12.274092

25 April 1997 Detection of skin line in computed radiographs for improved tone scale

Robert A. Senn, Lori L. Barski

Author Affiliations +

Proceedings Volume 3034, Medical Imaging 1997: Image Processing; (1997) https://doi.org/10.1117/12.274092
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

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.

Citation Download Citation

Robert A. Senn and Lori L. Barski "Detection of skin line in computed radiographs for improved tone scale", Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); https://doi.org/10.1117/12.274092

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