Paper
12 May 1995 Image enhancement for computed radiographic images
Ben K. Jang, Roger S. Gaborski
Author Affiliations +
Abstract
In this paper we propose an image enhancement algorithm that converts raw data from a storage phosphor scanner into a diagnostically optimized image. The spatial segmentation algorithm is applied to extract the body part of a clinical image, and histogram analysis is then used to develop the tonescale for the region of interest. This approach reduces the sensitivity to nonanatomical regions and allows full use of the display dynamic range for image viewing. The algorithms have been tested on clinical images and the results were reviewed by radiologists. Currently, these algorithms are being successfully used in the clinical environment.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ben K. Jang and Roger S. Gaborski "Image enhancement for computed radiographic images", Proc. SPIE 2434, Medical Imaging 1995: Image Processing, (12 May 1995); https://doi.org/10.1117/12.208699
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Image enhancement

Image processing algorithms and systems

Image analysis

Chromium

Edge detection

Chest

RELATED CONTENT

Spot identification on 2D electrophoresis gel images
Proceedings of SPIE (October 27 2006)
Object-based Image Compression
Proceedings of SPIE (January 30 2003)
A Scheme For The Analysis Of Infinite Fringe Systems
Proceedings of SPIE (November 20 1989)
Multiscale edge analysis of halftoned images
Proceedings of SPIE (July 17 1998)
Edge detection based on wavelet analysis
Proceedings of SPIE (January 28 2009)
Livewire based single still image segmentation
Proceedings of SPIE (December 08 2011)

Back to Top