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Proceedings Paper

An Algorithm For Segmenting Chest Radiographs
Author(s): Dexin Cheng; M. Goldberg
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Paper Abstract

In this paper, an algorithm for segmenting chest radiographs is presented where the left and right lungs are analysed separately. For each lung, a minimum rectangular frame is first determined, which completely encloses the object to be processed. The vertical edges of the minimum rectangular frame are determined by using the horizontal signature. The horizontal edges of the rectangular frame are determined by exploiting both the vertical signatures and the maximum vertical gradient sums. The image enclosed within the rectangular frame is called the subimage and its histogram is calculated. Segmentation into two classes is based upon grey level histogram thresholding, where the pixels less than a prefixed threshold are set to the background and those above to the foreground. The choice of threshold value is based upon a priori knowledge about the chest radiograph. Finally, a noise removal process is applied to smooth the boundaries: the top borders are refined by parabolas and the side borders by straight lines. Simulations are carried out on several chest radiographs and demonstrate the effectiveness of the proposed segmentation algorithm.

Paper Details

Date Published: 25 October 1988
PDF: 8 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.968961
Show Author Affiliations
Dexin Cheng, University of Ottawa (Canada)
M. Goldberg, University of Ottawa (Canada)

Published in SPIE Proceedings Vol. 1001:
Visual Communications and Image Processing '88: Third in a Series
T. Russell Hsing, Editor(s)

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