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Journal of Imaging Informatics in Medicine
Published in: Journal of Digital Imaging 4/2006

01-12-2006

Study of Automatic Enhancement for Chest Radiograph

Authors: Chen Shuyue, Hou Honghua, Zeng Yanjun, Ph.D., Xu Xiaomin

Published in: Journal of Imaging Informatics in Medicine | Issue 4/2006

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Abstract

Because of the large difference of the densities in the lung and other structures, the chest x-ray image behaves as a wide-range intensity distribution, which brings on a bit of difficulty to investigate the focus. In the paper, according to the intensity properties of the chest radiograph, the chest radiographic image is divided into three subregions, and a piecewise linear transformation model is established. An approach of automatic enhancement is presented, based on the gray-level normalization. The average enhanced ratios of three subregions of the normal and severe acute respiratory syndrome image are increased by 10.70% and 25.55%, respectively. The technique is proved to be effective through the evaluation of the improved images.
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Metadata
Title
Study of Automatic Enhancement for Chest Radiograph
Authors
Chen Shuyue
Hou Honghua
Zeng Yanjun, Ph.D.
Xu Xiaomin
Publication date
01-12-2006
Publisher
Springer-Verlag
Published in
Journal of Imaging Informatics in Medicine / Issue 4/2006
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-006-0623-7

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